Molecular dynamics algorithm for multiple time scales: Systems with long range forces

Size: px
Start display at page:

Download "Molecular dynamics algorithm for multiple time scales: Systems with long range forces"

Transcription

1 Molecular dynaics algorith for ultiple tie scales: Systes with long range forces Mark E. Bruce J. Berne Departent of Cheistry, Colubia University, New York, New York Glenn J. Martyna Departent of Cheistry, University of Pennsylvania, Philadelphia, Pennsylvania (Received 16 October 1990; accepted 23 January 1991) A frequently encountered proble in olecular dynaics is how to treat the long ties that are required to siulate condensed systes consisting of particles interacting through long range forces. Stard ethods require the calculation of the forces at every tie step. Because each particle interacts with all particles within the interaction range of the potential the longer the range of the potential the larger the nuber forces that ust be calculated at each tie step. In this note we present a variant of the RESPA (reference syste propagator algorith), which we developed for hling systes with ultiple tie scales like disparate ass ixtures. This version of RESPA greatly reduces the nuber of forces that ust be coputed at each tie step thereby leads to a draatic acceleration of such siulations. The RESPA ethod uses ideas siilar to NAPA, an algorith we invented to treat high frequency oscillators interacting with low frequency bath. The ethod is based on a choice of a reference syste in which the particles interact through short range forces. The reference syste is nuerically integrated for n tie steps St the error incurred by using short range forces is corrected by solving a rigorous set of equations once every At = &it. This ethod reduces the cpu tie draatically. It is shown that this approach suitable generalizations should be very useful for future siulations of quantu classical condensed atter systes. 1. INTRODUCTION Consider a syste consisting of Nparticles in which the particles interact through forces with a cutoff distance R,. Each particle then feels the forces fro LV, apr 2 neighbors the cpu tie required to advance the syste one tie step St is proportional to the nuber of forces, NN,/2, that ust be calculated. Clearly the siulation tie grows as the cube of the cutoff distance. In this short note a ethod for accelerating the siulation of such systes is presented. This ethod, which is related to the NAPA algorith that we invented for treating the proble of high frequency oscillators coupled to low frequency oscillators, is a variant of the RESPA algorith that we invented for treating systes with ultiple tie scales like disparate ass ixtures. The gist of the ethod is to define a dynaical reference syste involving only short range forces to derive equations of otion for the deviation, S(t), of the coordinates of the syste fro those of the syste containing the full forces. The reference syste equations of otion are integrated for n tie steps r&t. The tie dependence of the reference syste is then fed into the coupled equations for S(t) the resulting equations are nuerically integrated for one large tie step At = n&. The initial conditions for each large tie step are chosen so that this deviation S(t) is zero at the start of each new tie step with the consequence that the deviation is always kept sall. The only approxiation in this algorith springs fro the nuerical integrator used to integrate the equations of o- * Ph.D. student in the Departent of Physics, Colubia University. tion of the reference syste the coupled equations. Otherwise the ethod is self correcting exact. It should be noted that as the range of the interaction increases, the ratio of the nuber of long range forces to the nuber of short range forces which ust be coputed will increase. We thus expect that RESPA will grow ore efficient as the range of the interaction grows. By studying two systes with different ranges, we verify that this expectation is in accordance with our results. II. METHOD To illustrate the ethod, consider a set of differential equations of the for Z=LF(x), (2.1) where x are, respectively, the ass positions of the particles in the syste. We ust solve this set of equations subject to the initial conditions {x( 0)) jc( 0) 1. To proceed we subdivide the forces F(x) into short long range coponents F, F,, respectively. We define a reference syste equation of otion Z. =IF,(x,) which ust be solved subject to the initial conditions x0 (0) = x(o), i. (0) = i(0). (2.3) The solution of the reference syste equations of otion Eq. (2.2) denoted J. Che. Phys. 94 (lo), 15 May I Aerican institute of Physics 6811

2 6812 Tuckeran, Berne, Martyna: Molecular dynaics algorith x,(t) =x0 (t;x(o),~(o) 1. (2.4) The true position of the syste deviates fro the reference syste position. This can be expressed as x(t) =x0(t) + S(t). (2.5) Substitution of this into Eq. (2.1) eliination ing Eq. (2.2) results in the set of equations &=f [F,(xo(t) +a) +4(x,(t) +S> -F,(x,(t))]. of Z. us- (2.6) If FI is derived fro the long range part of the potential, it will be slowly varying copared to I;;. To solve Eq. (2.6) subject to the initial conditions [which follow fro Eq. (2.3)] S(0) = 0, h(o) = 0 (2.7) we propose the following schee. ( 1) Nuerically integrate Eq. (2.2) for a sequence of n sall tie steps 6t (At = n&) generating x0 (t) for O( t<at. (2) Substitute the nuerical solution for x0 (t) into Eq. (2.6). (3) Solve Eq. (2.6) subject to the initial conditions, Eq. (2.7), for one tie step At using a suitable integrator to obtain S( At) 8( At). (4) Calculate x(at) =x,(at) +&At), i(at) = f, (At) +&At). (2.8) This process is repeated using x( At),,k( At) as initial conditions. In general, at each step, the output is used as the initial conditions for the next step. The advantage of this ethod lies in the resetting of the initial conditions on S(t) 8(t) to 0 at every step. Since S(t) s(t) never deviate uch fro 0 in a given step, the force ter F, (x0 + 6) - F, (x0 ) in Eq. (2.6) is prevented fro becoing too large, thus allowing the use of a larger tie step in the nuerical integration than could be used in the stard integration schees. It should be ephasized that the equations of otion Eqs. (2.2) (2.6) forx, (t) S( t) are exact, i.e., no approxiation has been ade related to the disparity in range of the forces that the physical properties of the syste (e.g., pressure, internal energy, etc.) will be the sae for RESPA as for straightforward integration of the equations of otion. The integration of Eq. (2.6) can be done by any integrator suitable for equations with explicit as well as iplicit tie dependence.3 The Runge-Kutta (or predictor-corrector) ethod are such an integrators. In particular, the velocity Verlet3s4 integrator can be adapted straightforwardly for Eq. (2.6)) as we will later deonstrate. The ajor reason that this ethod saves so uch tie is that only at the end of a large tie step At Eq. (2.2) does one have to copute all of the forces. Thus it is not necessary to recopute the long range forces after every short tie step. These have to be updated only when Eq. (2.6) is integrated. This saving in force coputations can be draatic. Let z, z[ denote the average nuber of particles that interact with a particle through short long range forces, respectively. The nuber of forces that ust be calculated during the n tie steps St during which the reference syste is evolving is nn(zj2) the nuber that ust be calculated for the integration of Eq. (2.6) is Nz,/2. Thus the total cpu tie for one large tie step using the new ethod, assuing that the calculation of the forces is the tie consuing part of the calculation, is proportional to [ nrvz, + Nz, 1. On the other h if the calculation is done by stard integrators to copute n steps of length St oving all of the particles during each cycle the total nuber of forces that ust be calculated is nn(z, + z,)/2. This leads to the prediction that the ratio ofcpu ties for the stard ethod to that of the RESPA ethod will be r= n(z, + z[) n(pr :I (nz, +z,lz(nz, +pr:) (2.9) where R, is the cutoff distance for the long range force, p is the nuber density. It should be noted that li r = n. RJR,- (2.10) Thus the new ethod will be at best n ties faster than straightforward ethods. The size of n will be deterined by the agnitude of F, copared to F,. The longer the range of the potential the saller F, will be copared to F, the larger will be the nuber of tie steps n for which the reference syste trajectory will be close to the true trajectory. The subdivision of the forces into slow fast coponents can be ade in a variety of ways. One possibility is to base the subdivision on the WCA approxiation. If r is the position of the iniu of the pair potential, then the subdivision is V(r) = V,(r) where V,(r) = + V,(r), VW - Ur,), rgr, 0, r> r, Ur, 1, r<r, V,(r) = l V(r), r>r, so that the corresponding forces are I;,(r) = F(r), r<r,,, 0, r>r, (2.11) (2.12) (2.13) (2.14) 0, r<r, F,(r) = (2.15) F(r), Or,. As will be seen in the foregoing, the choice of subdivision leads to a considerable reduction in cpu tie over stard ethods, but ay not be optiu because the long range force can still be large in the neighborhood of r,. In this eventuality, n ust be chosen sall in order to insure accurate integration of the equations of otion. A ore flexible subdivision is to introduce a switching J. Che. Phys., Vol. 94, No. lo,15 May 1991

3 Tuckeran, Berne, Martyna: Molecular dynaics algorith 6613 function S(r) which varies onotonically between 1 0 as r increases to express the interparticle force as F(r) = S(r)F(r) -+- (1 - S(?))F (Y). (2.16) Then the short long range coponents of the force are taken to be F,(r) = S(r)F(r) (2.17) F,(r) = (1 -S(r) )F((r). (2.18) One can vary the position of the inflection point width of S(r) so as to iniize the cpu tie for the given odel. Let us now consider the ipleentation of this ethod using the velocity Verlet integrator. Although the discussion outlined before is perfectly acceptable it is possible to iprove it. It would be useful to have the algorith satisfy the following two requireents: ( 1) For F, -0 the algorith should reduce to the stard velocity Verlet algorith for F+[ using a tie step At = n&. (2) The ethod should work for long range forces even when they are large, but slowly varying. The ethod as outlined does not satisfy condition ( 1) becoes inefficient when the long range force is large. An algorith that satisfies these two conditions is the following. Replace the reference syste equation, Eq. (2.2), by a,(t) =LF,(X,w) +-1-F,w)), (2.19) where the last ter is constant in tie for the integration interval. If the long range force is strong but slowly varying this ter will ake an iportant contribution to the reference syste s acceleration, thereby allowing a larger choice of n for the sae energy conservation. Following the sae steps leading to Eq. (2.6) leads to 6=$ [F,(x,(t) +a -F,(xo(t)) +F,(Xo(t) + S(t)) - F,wN)], (2.20) an equation which contains the constant F, (x(o) ). One then carries out the sae proceedure outlined following Eq. (2.6). When the velocity Verlet integrator is used to solve this new set of equations it is a siple atter to show that for F, = 0 condition 1 is satisfied. It is also a siple atter to show that the use of velocity Verlet on Eq. (2.20) gives S( At) = 0. In general, velocity Verlet applied to Eqs. (2.19) (2.20) gives the following iterative equations for coputing the trajectory x(t) k(t) fro Eq. (2.8) : x( At) = x0 (At), itat) =&(A0 +g [Fs(x(At)) - F,(x,(At))] III. RESULTS +z [f,mat)) ---F/(x(O))]. (2.21) In the following exaples we require a easure of the accuracy of the algorith. One good easure is the degree to which energy is conserved. In a run of length T we define A&L T (it E(t) - E(O) To s I E(O) (3.1) where E(0) E(t) are the initial energy the energy at tie t. Clzarly, the ore accurate the algorith the saller will be AE. We shall copare cup tiekrequired for different algoriths for the sae values of AE. Although we study fluids with different potential odels here, the general approach will be to choose a stard integrator (e.g., velocity Verlet) with a given tie step 6t ch2sen to give a specified accuracy in energy conservation AE. For coparison, the new algorith RESPA is used to integrate the equations of otion for the sae syste, first using a WCA subdivision then using a switching function 1, r<r, -/z S(r) = 1 + R *(2R - 3), r, - R<r<r,, (3.2) i 0, r, cr where R = [ r - (r, - R) ] /;1 where r, is the cutoff distance,l is the healing length (the effective width of S (r) ). Of course, the choice of switching function is arbitrary, the above having been used in a different context by Watanabe Reinhardt. For the WCA subdivision n is chosen to give the sae energy conservation used in the full velocity Verlet integration. For the switching function subdivision, r,, il, n are chosen to give the sae energy conservation to optiize the cpu tie. In each of these siulations, the sall tie step St is taken to be the tie step used in the velocity Verlet algorith. A. Lennard-Jones (12-6) fluids First we study the well worn proble of the LJ ( 12-6) potential. Clearly, this is not a long range force proble. Nevertheless, even for this odel, we find an ipressive reduction in cpu tie when RESPA is used. For this study, the LJ fluid consists of 864 particles interacting with a pairwise additive LJ (12-6) potential (3.3) in a box of size L. The syste was equilibrated for each of four therodynaic states discussed below. Using the stard velocity Verlet integrator with periodic boundary conditions a cutoff of in (3a, L /2), the cpu tie required to run a total length of f;eal tie T = 3OOSt with energy conservation tolerance AE = 10-5 is deterined. Th,e four therodynaic states studied here are (T,p- ) = (1.0,0.8), (1.5, 0.9), (2.0, l.o), (2.5, l.l), where ^r = k, T/E is the reduced teperature pd is the reduced nuber density. RESPA, using both the WCA the switching function subdivisions defined above is copared with the stard velocity Verlet integrator for all of these states. In this coparison the sae short tie step St is used in the stard velocity Verlet algorith, RE- SPA( WCA) RESPA( SWITCH) for a given therodynaic state. The parazter n is chosen to give the specified energy conservation AE = 10-5 the tie required by J. Che. Phys., Vol. 94, No. IO,15 May 1991

4 6614 Tuckeran, Berne, Martyna: Molecular dynaics algorith RESPA to run the sae real tie is deterined for each of the two force subdivisions. In addition a search is ade of the paraeter space of the switching function (naely, r, /2) to obtain the sallest cpu tie. We find that r, = 1.7~ /z = 0.1~ is a very good choice. Although a detailed optiization ight lead to a different set of paraeters for each therodynaic state, we find that the results are quite insensitive to the value of il. The results of this coparison are shown in Table I. It is clear fro this study that RESPA can accelerate the siulation of even short range forces by as uch as a factor of 3.7. This is a significant iproveent. It can be seen fro the table that the WCA subdivision iproves as the fluid density is increased whereas the switching function subdivision is not strongly density dependent at high densities gives superior perforance at all densities studied. In the switching function algorith there is a trade off between two effects. Because the short range force is switched off at greater distances than in the WCA subdivision ore forces ust be coputed for the short tie steps therebye increasing the tie required to integrate the short cycles over the WCA ethod. On the other h the long range forces will be weaker when they are switched on than in the WCA truncation aking it possible to achieve the sae energy conservation for larger values of n, thereby reducing the nuber of cpu cycles to achieve a given aount of real tie. Fro Eq. (2.9) rswitch rwca =- %WITCH nwcazs,wca + zl.wca nwca [ %WITCHZr,SWITCH + l,swltch ]. (3.4) If the nuerator of the bracketed expression Zi,WCA % nwcazs,wca in the denoinator Zl,SWITCH % nswitchzs.switch v SWITCH -- rwca -n nswitchzl,wca WCAzl,SWITCH (3.5) Since the short range cutoff for the switching function is typically chosen to be larger than the WCA cutoff, ZlWCA >Z,,SWITCH nswitch >nwca, it follows that rswitch /rwca ) 1 so that the switching function ethod will be superior to the WCA ethod. 6. Lennard-Jones (12-3) fluids To investigate the power of RESPA we study the LennardJones ( 12-3) potential TABLE I. Coparison of RESPA with velocity Verlet algoriths for LennardJones ( 126) fluids.? PC nwca rwca SWITCH rswitch TABLE II. Coparison of RESPA with velocity Verlet algoriths algoriths for Lennard-Jones ( 12-3) fluids. ^r PQ3 nwca rwca nswitch rswitch (r) = 4ea, K:~ 2-(:~l 9 (3.6) a long range potential. The constant a3 is chosen to give the sae well depth E as the ( 12-6) potential. As before the syste was equilibrated for each of the four sae therodynaic state using the stard velocity Verlet integrator with periodic boundary conditions, only for this syste a cutoff of in(5a, L /2)^is used, the energy conservation tolerance is set at AE = 10w6. Otherwise, the sae coparison is carried out as for the LJ ( 12-6) syste, the sae type of search through the switching function paraeter space is done. For this syste we find that r, = 1.9~ ;1 = is a very good choice. The results of this coparison are shown in Table II. It is clear fro this study that RESPA can accelerate the siulation of this long range syste by as uch as a factor of 4.3. This is a rearkable saving in cpu tie deonstrates the efficiency of RESPA in hling long range forces. C. Lennard-Jones (12-1) fluids: Ewald suation To study the ipleentation of RESPA with the Ewald suation technique, we consider the Lennard-Jones ( 12-1 ) potential given by 4(r) =4ea,[(:) *-(+)I. (3.7) As before, the constant ai is chosen so that this potential has the sae well depth E as the ( 12-6) potential. Only the l/r part of this potential is written as an Ewald su. This gives a force which has the structure F(r) = F (rp) + F(recip)(T;a,k,,,). (3.8) That is, the force consists of a real space part a reciprocal space su. We indicate the explicit dependence of these coponents on the convergence paraeter a the cutoff in reciprocal space denoted k,,,. There are several possibilities for ipleenting RESPA with the force in Eq. (3.8). One is to use the switching function on the real space part of the force. This would give a reference syste force F,(r) = S(r)F ~(r;a )) (3.9) a long range residual force F,(r) = (1 -S(r))(F )(r,cr ) + F (recip) (r;a,k,$, ) ). (3.10) Given the different ranges of the reference syste force the residual, we expect that a different convergence paraeter reciprocal space cutoff should be used for each piece, we indicate this dependence by the s I super- J. Che. Phys., Vol. 94, No. lo,15 May 1991

5 Tuckeran, Berne, Martyna: Molecular dynaics algorith 6815 TABLE III. Coparison of RESPA with velocity Verlet algoriths for Lennard-Jones (12-1) fluids with Ewald su. r Pd bvltch rswitch scripts on CY k,,,. The choice of acs, a(, k 2:X) k ax (I) will depend on the syste size. Given the large syste studied here, we choose acs = acos&pk, = k,,, in Eqs. (3.9) (3.10). Since the reference syste force is purely real space, the use of RESPA becoes extreely efficient. To illustrate the iproveent given by RESPA with Ewald suation, we study the sae four therodynaic states as in the prev@s two cases using an energy conservation tolerance of AE = 10w5. The sae values of r, ;1 were used as in the ( 12-3) case, in addition to these, we choose k,,, = 6 al = 6. A cutoff of in (5a, L /2) was used as in the ( 12-3) case. The results are suarized in Table III. We see that the tiing ratios are ore draatic than for the (12-3) case even though the sae cutoff was used. This iproveent is clearly due to the fact that in the ordinary Verlet siulations, the reciprocal space su ust be evaluated at every step in addition to the real space part, while in the RESPA siulations, this su ust only be evaluated every n steps when doing the long range part of the force. The larger k,,, ust be, the ore these tiing ratios will iprove. IV. CONCLUSION In this paper we have presented a ethod which accelerates olecular dynaics siulations of systes with long range forces. This ethod, which is a variant of the RESPA ethod, is based on a set of exact equations which greatly reduces the nuber of force calculations that are required for the siulation. Since it is the coputation of the forces that doinates the cpu tie required to siulate systes, this reduction in the nuber of pair forces that have to be evaluated leads to a saving in cpu tie. The ratio of the tie required for the siulation using this new ethod to that for a stard ethod is given by r in Eq. (2.9). For systes with very long range forces r = n, where n is the nuber of tie steps for which the short range forces are integrated. The approach taken here is siilar in spirit to the ethod that we presented for solving the proble with a very stiff oscillator buried in a slow fluid, naely, the NAPA algorith. We have introduced two of any possible schees for subdividing the forces into short anfd long range coponents. We find that an optiized switching function is to be preferred over the WCA subdivision but it would not be surprising to find that a different subdivision schee works even better than the above. By studying the Lennard-Jones (12-6) (12-3) potentials, we saw that the cpu saving gained by RESPA increases as the range of the interaction increases. ACKNOWLEDGMENTS We wish to thank Dr. Joseph Hautan Ji Barean for useful discussions about Ewald suation techniques. M. Tuckeran, G. Martyna, B. J. Berne, J. Che. Phys. 93, 1287 (1990). M.Tuckeran, B. J. Berne, A. Rossi, J. Che. Phys. 94,1465 ( 1991). M. P. Allen D. J. Tildesley, Coputer Siulation of Liquids (Oxford University, Oxford, 1989). 4 W. C. Swope, H. C. Andersen, P. H. Berens, K. R. Wilson, J. Che. Phys. 76,637 (1982). M. Watanabe W. P. Reinhardt, Phys. Rev. Lett. 65, 3301 (1990). J. Che. Phys., Vol. 94, No. lo,15 May 1991

Ph 20.3 Numerical Solution of Ordinary Differential Equations

Ph 20.3 Numerical Solution of Ordinary Differential Equations Ph 20.3 Nuerical Solution of Ordinary Differential Equations Due: Week 5 -v20170314- This Assignent So far, your assignents have tried to failiarize you with the hardware and software in the Physics Coputing

More information

Ch 12: Variations on Backpropagation

Ch 12: Variations on Backpropagation Ch 2: Variations on Backpropagation The basic backpropagation algorith is too slow for ost practical applications. It ay take days or weeks of coputer tie. We deonstrate why the backpropagation algorith

More information

An Approximate Model for the Theoretical Prediction of the Velocity Increase in the Intermediate Ballistics Period

An Approximate Model for the Theoretical Prediction of the Velocity Increase in the Intermediate Ballistics Period An Approxiate Model for the Theoretical Prediction of the Velocity... 77 Central European Journal of Energetic Materials, 205, 2(), 77-88 ISSN 2353-843 An Approxiate Model for the Theoretical Prediction

More information

Numerical Solution of the MRLW Equation Using Finite Difference Method. 1 Introduction

Numerical Solution of the MRLW Equation Using Finite Difference Method. 1 Introduction ISSN 1749-3889 print, 1749-3897 online International Journal of Nonlinear Science Vol.1401 No.3,pp.355-361 Nuerical Solution of the MRLW Equation Using Finite Difference Method Pınar Keskin, Dursun Irk

More information

ma x = -bv x + F rod.

ma x = -bv x + F rod. Notes on Dynaical Systes Dynaics is the study of change. The priary ingredients of a dynaical syste are its state and its rule of change (also soeties called the dynaic). Dynaical systes can be continuous

More information

Donald Fussell. October 28, Computer Science Department The University of Texas at Austin. Point Masses and Force Fields.

Donald Fussell. October 28, Computer Science Department The University of Texas at Austin. Point Masses and Force Fields. s Vector Moving s and Coputer Science Departent The University of Texas at Austin October 28, 2014 s Vector Moving s Siple classical dynaics - point asses oved by forces Point asses can odel particles

More information

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon Model Fitting CURM Background Material, Fall 014 Dr. Doreen De Leon 1 Introduction Given a set of data points, we often want to fit a selected odel or type to the data (e.g., we suspect an exponential

More information

CHAPTER 19: Single-Loop IMC Control

CHAPTER 19: Single-Loop IMC Control When I coplete this chapter, I want to be able to do the following. Recognize that other feedback algoriths are possible Understand the IMC structure and how it provides the essential control features

More information

e-companion ONLY AVAILABLE IN ELECTRONIC FORM

e-companion ONLY AVAILABLE IN ELECTRONIC FORM OPERATIONS RESEARCH doi 10.1287/opre.1070.0427ec pp. ec1 ec5 e-copanion ONLY AVAILABLE IN ELECTRONIC FORM infors 07 INFORMS Electronic Copanion A Learning Approach for Interactive Marketing to a Custoer

More information

Numerical Studies of a Nonlinear Heat Equation with Square Root Reaction Term

Numerical Studies of a Nonlinear Heat Equation with Square Root Reaction Term Nuerical Studies of a Nonlinear Heat Equation with Square Root Reaction Ter Ron Bucire, 1 Karl McMurtry, 1 Ronald E. Micens 2 1 Matheatics Departent, Occidental College, Los Angeles, California 90041 2

More information

Ştefan ŞTEFĂNESCU * is the minimum global value for the function h (x)

Ştefan ŞTEFĂNESCU * is the minimum global value for the function h (x) 7Applying Nelder Mead s Optiization Algorith APPLYING NELDER MEAD S OPTIMIZATION ALGORITHM FOR MULTIPLE GLOBAL MINIMA Abstract Ştefan ŞTEFĂNESCU * The iterative deterinistic optiization ethod could not

More information

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all Lecture 6 Introduction to kinetic theory of plasa waves Introduction to kinetic theory So far we have been odeling plasa dynaics using fluid equations. The assuption has been that the pressure can be either

More information

A method to determine relative stroke detection efficiencies from multiplicity distributions

A method to determine relative stroke detection efficiencies from multiplicity distributions A ethod to deterine relative stroke detection eiciencies ro ultiplicity distributions Schulz W. and Cuins K. 2. Austrian Lightning Detection and Inoration Syste (ALDIS), Kahlenberger Str.2A, 90 Vienna,

More information

Projectile Motion with Air Resistance (Numerical Modeling, Euler s Method)

Projectile Motion with Air Resistance (Numerical Modeling, Euler s Method) Projectile Motion with Air Resistance (Nuerical Modeling, Euler s Method) Theory Euler s ethod is a siple way to approxiate the solution of ordinary differential equations (ode s) nuerically. Specifically,

More information

THERMAL ENDURANCE OF UNREINFORCED UNSATURATED POLYESTERS AND VINYL ESTER RESINS = (1) ln = COMPOSITES & POLYCON 2009

THERMAL ENDURANCE OF UNREINFORCED UNSATURATED POLYESTERS AND VINYL ESTER RESINS = (1) ln = COMPOSITES & POLYCON 2009 Aerican Coposites Manufacturers Association January 15-17, 29 Tapa, FL USA Abstract THERMAL ENDURANCE OF UNREINFORCED UNSATURATED POLYESTERS AND VINYL ESTER RESINS by Thore M. Klaveness, Reichhold AS In

More information

COS 424: Interacting with Data. Written Exercises

COS 424: Interacting with Data. Written Exercises COS 424: Interacting with Data Hoework #4 Spring 2007 Regression Due: Wednesday, April 18 Written Exercises See the course website for iportant inforation about collaboration and late policies, as well

More information

HORIZONTAL MOTION WITH RESISTANCE

HORIZONTAL MOTION WITH RESISTANCE DOING PHYSICS WITH MATLAB MECHANICS HORIZONTAL MOTION WITH RESISTANCE Ian Cooper School of Physics, Uniersity of Sydney ian.cooper@sydney.edu.au DOWNLOAD DIRECTORY FOR MATLAB SCRIPTS ec_fr_b. This script

More information

Physically Based Modeling CS Notes Spring 1997 Particle Collision and Contact

Physically Based Modeling CS Notes Spring 1997 Particle Collision and Contact Physically Based Modeling CS 15-863 Notes Spring 1997 Particle Collision and Contact 1 Collisions with Springs Suppose we wanted to ipleent a particle siulator with a floor : a solid horizontal plane which

More information

List Scheduling and LPT Oliver Braun (09/05/2017)

List Scheduling and LPT Oliver Braun (09/05/2017) List Scheduling and LPT Oliver Braun (09/05/207) We investigate the classical scheduling proble P ax where a set of n independent jobs has to be processed on 2 parallel and identical processors (achines)

More information

Chapter 1: Basics of Vibrations for Simple Mechanical Systems

Chapter 1: Basics of Vibrations for Simple Mechanical Systems Chapter 1: Basics of Vibrations for Siple Mechanical Systes Introduction: The fundaentals of Sound and Vibrations are part of the broader field of echanics, with strong connections to classical echanics,

More information

ANALYSIS ON RESPONSE OF DYNAMIC SYSTEMS TO PULSE SEQUENCES EXCITATION

ANALYSIS ON RESPONSE OF DYNAMIC SYSTEMS TO PULSE SEQUENCES EXCITATION The 4 th World Conference on Earthquake Engineering October -7, 8, Beijing, China ANALYSIS ON RESPONSE OF DYNAMIC SYSTEMS TO PULSE SEQUENCES EXCITATION S. Li C.H. Zhai L.L. Xie Ph. D. Student, School of

More information

A Simplified Analytical Approach for Efficiency Evaluation of the Weaving Machines with Automatic Filling Repair

A Simplified Analytical Approach for Efficiency Evaluation of the Weaving Machines with Automatic Filling Repair Proceedings of the 6th SEAS International Conference on Siulation, Modelling and Optiization, Lisbon, Portugal, Septeber -4, 006 0 A Siplified Analytical Approach for Efficiency Evaluation of the eaving

More information

On Constant Power Water-filling

On Constant Power Water-filling On Constant Power Water-filling Wei Yu and John M. Cioffi Electrical Engineering Departent Stanford University, Stanford, CA94305, U.S.A. eails: {weiyu,cioffi}@stanford.edu Abstract This paper derives

More information

On the Analysis of the Quantum-inspired Evolutionary Algorithm with a Single Individual

On the Analysis of the Quantum-inspired Evolutionary Algorithm with a Single Individual 6 IEEE Congress on Evolutionary Coputation Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada July 16-1, 6 On the Analysis of the Quantu-inspired Evolutionary Algorith with a Single Individual

More information

Non-Parametric Non-Line-of-Sight Identification 1

Non-Parametric Non-Line-of-Sight Identification 1 Non-Paraetric Non-Line-of-Sight Identification Sinan Gezici, Hisashi Kobayashi and H. Vincent Poor Departent of Electrical Engineering School of Engineering and Applied Science Princeton University, Princeton,

More information

Analysis of Impulsive Natural Phenomena through Finite Difference Methods A MATLAB Computational Project-Based Learning

Analysis of Impulsive Natural Phenomena through Finite Difference Methods A MATLAB Computational Project-Based Learning Analysis of Ipulsive Natural Phenoena through Finite Difference Methods A MATLAB Coputational Project-Based Learning Nicholas Kuia, Christopher Chariah, Mechatronics Engineering, Vaughn College of Aeronautics

More information

Celal S. Konor Release 1.1 (identical to 1.0) 3/21/08. 1-Hybrid isentropic-sigma vertical coordinate and governing equations in the free atmosphere

Celal S. Konor Release 1.1 (identical to 1.0) 3/21/08. 1-Hybrid isentropic-sigma vertical coordinate and governing equations in the free atmosphere Celal S. Konor Release. (identical to.0) 3/2/08 -Hybrid isentropic-siga vertical coordinate governing equations in the free atosphere This section describes the equations in the free atosphere of the odel.

More information

Intelligent Systems: Reasoning and Recognition. Perceptrons and Support Vector Machines

Intelligent Systems: Reasoning and Recognition. Perceptrons and Support Vector Machines Intelligent Systes: Reasoning and Recognition Jaes L. Crowley osig 1 Winter Seester 2018 Lesson 6 27 February 2018 Outline Perceptrons and Support Vector achines Notation...2 Linear odels...3 Lines, Planes

More information

Lecture #8-3 Oscillations, Simple Harmonic Motion

Lecture #8-3 Oscillations, Simple Harmonic Motion Lecture #8-3 Oscillations Siple Haronic Motion So far we have considered two basic types of otion: translation and rotation. But these are not the only two types of otion we can observe in every day life.

More information

Kinematics and dynamics, a computational approach

Kinematics and dynamics, a computational approach Kineatics and dynaics, a coputational approach We begin the discussion of nuerical approaches to echanics with the definition for the velocity r r ( t t) r ( t) v( t) li li or r( t t) r( t) v( t) t for

More information

Stability Analysis of the Matrix-Free Linearly Implicit 2 Euler Method 3 UNCORRECTED PROOF

Stability Analysis of the Matrix-Free Linearly Implicit 2 Euler Method 3 UNCORRECTED PROOF 1 Stability Analysis of the Matrix-Free Linearly Iplicit 2 Euler Method 3 Adrian Sandu 1 andaikst-cyr 2 4 1 Coputational Science Laboratory, Departent of Coputer Science, Virginia 5 Polytechnic Institute,

More information

Analyzing Simulation Results

Analyzing Simulation Results Analyzing Siulation Results Dr. John Mellor-Cruey Departent of Coputer Science Rice University johnc@cs.rice.edu COMP 528 Lecture 20 31 March 2005 Topics for Today Model verification Model validation Transient

More information

Ufuk Demirci* and Feza Kerestecioglu**

Ufuk Demirci* and Feza Kerestecioglu** 1 INDIRECT ADAPTIVE CONTROL OF MISSILES Ufuk Deirci* and Feza Kerestecioglu** *Turkish Navy Guided Missile Test Station, Beykoz, Istanbul, TURKEY **Departent of Electrical and Electronics Engineering,

More information

Reducing Vibration and Providing Robustness with Multi-Input Shapers

Reducing Vibration and Providing Robustness with Multi-Input Shapers 29 Aerican Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June -2, 29 WeA6.4 Reducing Vibration and Providing Robustness with Multi-Input Shapers Joshua Vaughan and Willia Singhose Abstract

More information

DETECTION OF NONLINEARITY IN VIBRATIONAL SYSTEMS USING THE SECOND TIME DERIVATIVE OF ABSOLUTE ACCELERATION

DETECTION OF NONLINEARITY IN VIBRATIONAL SYSTEMS USING THE SECOND TIME DERIVATIVE OF ABSOLUTE ACCELERATION DETECTION OF NONLINEARITY IN VIBRATIONAL SYSTEMS USING THE SECOND TIME DERIVATIVE OF ABSOLUTE ACCELERATION Masaki WAKUI 1 and Jun IYAMA and Tsuyoshi KOYAMA 3 ABSTRACT This paper shows a criteria to detect

More information

The Weierstrass Approximation Theorem

The Weierstrass Approximation Theorem 36 The Weierstrass Approxiation Theore Recall that the fundaental idea underlying the construction of the real nubers is approxiation by the sipler rational nubers. Firstly, nubers are often deterined

More information

Some Perspective. Forces and Newton s Laws

Some Perspective. Forces and Newton s Laws Soe Perspective The language of Kineatics provides us with an efficient ethod for describing the otion of aterial objects, and we ll continue to ake refineents to it as we introduce additional types of

More information

arxiv: v1 [cond-mat.stat-mech] 22 Dec 2017

arxiv: v1 [cond-mat.stat-mech] 22 Dec 2017 Notes on the Hybrid Monte Carlo Method arxiv:1712.08278v1 [cond-at.stat-ech] 22 Dec 2017 Jerey C. Paler, 1, Air Haji-Akbari, 2, Rakesh S. Singh, 2 Fausto Martelli, 3 Roberto Car, 3 Athanassios Z. Panagiotopoulos,

More information

lecture 36: Linear Multistep Mehods: Zero Stability

lecture 36: Linear Multistep Mehods: Zero Stability 95 lecture 36: Linear Multistep Mehods: Zero Stability 5.6 Linear ultistep ethods: zero stability Does consistency iply convergence for linear ultistep ethods? This is always the case for one-step ethods,

More information

Annealing contour Monte Carlo algorithm for structure optimization in an off-lattice protein model

Annealing contour Monte Carlo algorithm for structure optimization in an off-lattice protein model JOURNAL OF CHEMICAL PHYSICS VOLUME 120, NUMBER 14 8 APRIL 2004 Annealing contour Monte Carlo algorith for structure optiization in an off-lattice protein odel Faing Liang a) Departent of Statistics, Texas

More information

Inspection; structural health monitoring; reliability; Bayesian analysis; updating; decision analysis; value of information

Inspection; structural health monitoring; reliability; Bayesian analysis; updating; decision analysis; value of information Cite as: Straub D. (2014). Value of inforation analysis with structural reliability ethods. Structural Safety, 49: 75-86. Value of Inforation Analysis with Structural Reliability Methods Daniel Straub

More information

NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT

NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT PACS REFERENCE: 43.5.LJ Krister Larsson Departent of Applied Acoustics Chalers University of Technology SE-412 96 Sweden Tel: +46 ()31 772 22 Fax: +46 ()31

More information

Data-Driven Imaging in Anisotropic Media

Data-Driven Imaging in Anisotropic Media 18 th World Conference on Non destructive Testing, 16- April 1, Durban, South Africa Data-Driven Iaging in Anisotropic Media Arno VOLKER 1 and Alan HUNTER 1 TNO Stieltjesweg 1, 6 AD, Delft, The Netherlands

More information

Course Notes for EE227C (Spring 2018): Convex Optimization and Approximation

Course Notes for EE227C (Spring 2018): Convex Optimization and Approximation Course Notes for EE227C (Spring 2018): Convex Optiization and Approxiation Instructor: Moritz Hardt Eail: hardt+ee227c@berkeley.edu Graduate Instructor: Max Sichowitz Eail: sichow+ee227c@berkeley.edu October

More information

When Short Runs Beat Long Runs

When Short Runs Beat Long Runs When Short Runs Beat Long Runs Sean Luke George Mason University http://www.cs.gu.edu/ sean/ Abstract What will yield the best results: doing one run n generations long or doing runs n/ generations long

More information

Sharp Time Data Tradeoffs for Linear Inverse Problems

Sharp Time Data Tradeoffs for Linear Inverse Problems Sharp Tie Data Tradeoffs for Linear Inverse Probles Saet Oyak Benjain Recht Mahdi Soltanolkotabi January 016 Abstract In this paper we characterize sharp tie-data tradeoffs for optiization probles used

More information

13 Harmonic oscillator revisited: Dirac s approach and introduction to Second Quantization

13 Harmonic oscillator revisited: Dirac s approach and introduction to Second Quantization 3 Haronic oscillator revisited: Dirac s approach and introduction to Second Quantization. Dirac cae up with a ore elegant way to solve the haronic oscillator proble. We will now study this approach. The

More information

lecture 35: Linear Multistep Mehods: Truncation Error

lecture 35: Linear Multistep Mehods: Truncation Error 88 lecture 5: Linear Multistep Meods: Truncation Error 5.5 Linear ultistep etods One-step etods construct an approxiate solution x k+ x(t k+ ) using only one previous approxiation, x k. Tis approac enoys

More information

On the approximation of Feynman-Kac path integrals

On the approximation of Feynman-Kac path integrals On the approxiation of Feynan-Kac path integrals Stephen D. Bond, Brian B. Laird, and Benedict J. Leikuhler University of California, San Diego, Departents of Matheatics and Cheistry, La Jolla, CA 993,

More information

CONTINUOUS THERMODYNAMICS FINITE DIFFUSION MODEL FOR MULTICOMPONENT FUEL SPRAY EVAPORATION

CONTINUOUS THERMODYNAMICS FINITE DIFFUSION MODEL FOR MULTICOMPONENT FUEL SPRAY EVAPORATION CONTINUOUS THERMODYNAMICS FINITE DIFFUSION MODEL FOR MULTICOMPONENT FUEL SPRAY EVAPORATION Dongyao Wang 1 and Chia-fon F. Lee Departent of Theoretical and Applied Mechanics 1 Departent of Mechanical and

More information

Q5 We know that a mass at the end of a spring when displaced will perform simple m harmonic oscillations with a period given by T = 2!

Q5 We know that a mass at the end of a spring when displaced will perform simple m harmonic oscillations with a period given by T = 2! Chapter 4.1 Q1 n oscillation is any otion in which the displaceent of a particle fro a fixed point keeps changing direction and there is a periodicity in the otion i.e. the otion repeats in soe way. In

More information

Diffusion time-scale invariance, randomization processes, and memory effects in Lennard-Jones liquids

Diffusion time-scale invariance, randomization processes, and memory effects in Lennard-Jones liquids PHYSICAL REVIEW E 68, 52 23 Diffusion tie-scale invariance, randoization processes, and eory effects in Lennard-Jones liquids Renat M. Yuletyev* and Anatolii V. Mokshin Departent of Physics, Kazan State

More information

Comparison of Charged Particle Tracking Methods for Non-Uniform Magnetic Fields. Hann-Shin Mao and Richard E. Wirz

Comparison of Charged Particle Tracking Methods for Non-Uniform Magnetic Fields. Hann-Shin Mao and Richard E. Wirz 42nd AIAA Plasadynaics and Lasers Conferencein conjunction with the8th Internati 27-30 June 20, Honolulu, Hawaii AIAA 20-3739 Coparison of Charged Particle Tracking Methods for Non-Unifor Magnetic

More information

3D acoustic wave modeling with a time-space domain dispersion-relation-based Finite-difference scheme

3D acoustic wave modeling with a time-space domain dispersion-relation-based Finite-difference scheme P-8 3D acoustic wave odeling with a tie-space doain dispersion-relation-based Finite-difference schee Yang Liu * and rinal K. Sen State Key Laboratory of Petroleu Resource and Prospecting (China University

More information

Spine Fin Efficiency A Three Sided Pyramidal Fin of Equilateral Triangular Cross-Sectional Area

Spine Fin Efficiency A Three Sided Pyramidal Fin of Equilateral Triangular Cross-Sectional Area Proceedings of the 006 WSEAS/IASME International Conference on Heat and Mass Transfer, Miai, Florida, USA, January 18-0, 006 (pp13-18) Spine Fin Efficiency A Three Sided Pyraidal Fin of Equilateral Triangular

More information

Explicit Analytic Solution for an. Axisymmetric Stagnation Flow and. Heat Transfer on a Moving Plate

Explicit Analytic Solution for an. Axisymmetric Stagnation Flow and. Heat Transfer on a Moving Plate Int. J. Contep. Math. Sciences, Vol. 5,, no. 5, 699-7 Explicit Analytic Solution for an Axisyetric Stagnation Flow and Heat Transfer on a Moving Plate Haed Shahohaadi Mechanical Engineering Departent,

More information

A Better Algorithm For an Ancient Scheduling Problem. David R. Karger Steven J. Phillips Eric Torng. Department of Computer Science

A Better Algorithm For an Ancient Scheduling Problem. David R. Karger Steven J. Phillips Eric Torng. Department of Computer Science A Better Algorith For an Ancient Scheduling Proble David R. Karger Steven J. Phillips Eric Torng Departent of Coputer Science Stanford University Stanford, CA 9435-4 Abstract One of the oldest and siplest

More information

ANALYSIS OF HALL-EFFECT THRUSTERS AND ION ENGINES FOR EARTH-TO-MOON TRANSFER

ANALYSIS OF HALL-EFFECT THRUSTERS AND ION ENGINES FOR EARTH-TO-MOON TRANSFER IEPC 003-0034 ANALYSIS OF HALL-EFFECT THRUSTERS AND ION ENGINES FOR EARTH-TO-MOON TRANSFER A. Bober, M. Guelan Asher Space Research Institute, Technion-Israel Institute of Technology, 3000 Haifa, Israel

More information

A DESIGN GUIDE OF DOUBLE-LAYER CELLULAR CLADDINGS FOR BLAST ALLEVIATION

A DESIGN GUIDE OF DOUBLE-LAYER CELLULAR CLADDINGS FOR BLAST ALLEVIATION International Journal of Aerospace and Lightweight Structures Vol. 3, No. 1 (2013) 109 133 c Research Publishing Services DOI: 10.3850/S201042862013000550 A DESIGN GUIDE OF DOUBLE-LAYER CELLULAR CLADDINGS

More information

27 Oscillations: Introduction, Mass on a Spring

27 Oscillations: Introduction, Mass on a Spring Chapter 7 Oscillations: Introduction, Mass on a Spring 7 Oscillations: Introduction, Mass on a Spring If a siple haronic oscillation proble does not involve the tie, you should probably be using conservation

More information

Energy and Momentum: The Ballistic Pendulum

Energy and Momentum: The Ballistic Pendulum Physics Departent Handout -10 Energy and Moentu: The Ballistic Pendulu The ballistic pendulu, first described in the id-eighteenth century, applies principles of echanics to the proble of easuring the

More information

Randomized Accuracy-Aware Program Transformations For Efficient Approximate Computations

Randomized Accuracy-Aware Program Transformations For Efficient Approximate Computations Randoized Accuracy-Aware Progra Transforations For Efficient Approxiate Coputations Zeyuan Allen Zhu Sasa Misailovic Jonathan A. Kelner Martin Rinard MIT CSAIL zeyuan@csail.it.edu isailo@it.edu kelner@it.edu

More information

arxiv: v1 [cs.ds] 3 Feb 2014

arxiv: v1 [cs.ds] 3 Feb 2014 arxiv:40.043v [cs.ds] 3 Feb 04 A Bound on the Expected Optiality of Rando Feasible Solutions to Cobinatorial Optiization Probles Evan A. Sultani The Johns Hopins University APL evan@sultani.co http://www.sultani.co/

More information

arxiv:cond-mat/ v1 [cond-mat.stat-mech] 11 Jan 2007

arxiv:cond-mat/ v1 [cond-mat.stat-mech] 11 Jan 2007 Transport and Helfand oents in the Lennard-Jones fluid. II. Theral conductivity arxiv:cond-at/7125v1 [cond-at.stat-ech] 11 Jan 27 S. Viscardy, J. Servantie, and P. Gaspard Center for Nonlinear Phenoena

More information

Solving initial value problems by residual power series method

Solving initial value problems by residual power series method Theoretical Matheatics & Applications, vol.3, no.1, 13, 199-1 ISSN: 179-9687 (print), 179-979 (online) Scienpress Ltd, 13 Solving initial value probles by residual power series ethod Mohaed H. Al-Sadi

More information

Optical Properties of Plasmas of High-Z Elements

Optical Properties of Plasmas of High-Z Elements Forschungszentru Karlsruhe Techni und Uwelt Wissenschaftlishe Berichte FZK Optical Properties of Plasas of High-Z Eleents V.Tolach 1, G.Miloshevsy 1, H.Würz Project Kernfusion 1 Heat and Mass Transfer

More information

A simple phenomenologic model for particle transport in spaceperiodic potentials in underdamped systems

A simple phenomenologic model for particle transport in spaceperiodic potentials in underdamped systems A siple phenoenologic odel for particle transport in spaceperiodic potentials in underdaped systes IG MARCHENKO 1,(a,b), II MARCHENKO 3, A ZHIGLO 1 1 NSC Kharov Institute of Physics and Technology, Aadeichesaya

More information

Multiscale Entropy Analysis: A New Method to Detect Determinism in a Time. Series. A. Sarkar and P. Barat. Variable Energy Cyclotron Centre

Multiscale Entropy Analysis: A New Method to Detect Determinism in a Time. Series. A. Sarkar and P. Barat. Variable Energy Cyclotron Centre Multiscale Entropy Analysis: A New Method to Detect Deterinis in a Tie Series A. Sarkar and P. Barat Variable Energy Cyclotron Centre /AF Bidhan Nagar, Kolkata 700064, India PACS nubers: 05.45.Tp, 89.75.-k,

More information

8.1 Force Laws Hooke s Law

8.1 Force Laws Hooke s Law 8.1 Force Laws There are forces that don't change appreciably fro one instant to another, which we refer to as constant in tie, and forces that don't change appreciably fro one point to another, which

More information

Intelligent Systems: Reasoning and Recognition. Artificial Neural Networks

Intelligent Systems: Reasoning and Recognition. Artificial Neural Networks Intelligent Systes: Reasoning and Recognition Jaes L. Crowley MOSIG M1 Winter Seester 2018 Lesson 7 1 March 2018 Outline Artificial Neural Networks Notation...2 Introduction...3 Key Equations... 3 Artificial

More information

Title. Author(s)Izumida, Yuki; Okuda, Koji. CitationPhysical review E, 80(2): Issue Date Doc URL. Rights. Type.

Title. Author(s)Izumida, Yuki; Okuda, Koji. CitationPhysical review E, 80(2): Issue Date Doc URL. Rights. Type. Title Onsager coefficients of a finite-tie Carnot cycle Author(s)Izuida, Yuki; Okuda, Koji CitationPhysical review E, 80(2): 021121 Issue Date 2009-08 Doc URL http://hdl.handle.net/2115/39348 Rights 2009

More information

Analysis of ground vibration transmission in high precision equipment by Frequency Based Substructuring

Analysis of ground vibration transmission in high precision equipment by Frequency Based Substructuring Analysis of ground vibration transission in high precision equipent by Frequency Based Substructuring G. van Schothorst 1, M.A. Boogaard 2, G.W. van der Poel 1, D.J. Rixen 2 1 Philips Innovation Services,

More information

Boosting with log-loss

Boosting with log-loss Boosting with log-loss Marco Cusuano-Towner Septeber 2, 202 The proble Suppose we have data exaples {x i, y i ) i =... } for a two-class proble with y i {, }. Let F x) be the predictor function with the

More information

Comparison of Stability of Selected Numerical Methods for Solving Stiff Semi- Linear Differential Equations

Comparison of Stability of Selected Numerical Methods for Solving Stiff Semi- Linear Differential Equations International Journal of Applied Science and Technology Vol. 7, No. 3, Septeber 217 Coparison of Stability of Selected Nuerical Methods for Solving Stiff Sei- Linear Differential Equations Kwaku Darkwah

More information

Nonmonotonic Networks. a. IRST, I Povo (Trento) Italy, b. Univ. of Trento, Physics Dept., I Povo (Trento) Italy

Nonmonotonic Networks. a. IRST, I Povo (Trento) Italy, b. Univ. of Trento, Physics Dept., I Povo (Trento) Italy Storage Capacity and Dynaics of Nononotonic Networks Bruno Crespi a and Ignazio Lazzizzera b a. IRST, I-38050 Povo (Trento) Italy, b. Univ. of Trento, Physics Dept., I-38050 Povo (Trento) Italy INFN Gruppo

More information

a a a a a a a m a b a b

a a a a a a a m a b a b Algebra / Trig Final Exa Study Guide (Fall Seester) Moncada/Dunphy Inforation About the Final Exa The final exa is cuulative, covering Appendix A (A.1-A.5) and Chapter 1. All probles will be ultiple choice

More information

26 Impulse and Momentum

26 Impulse and Momentum 6 Ipulse and Moentu First, a Few More Words on Work and Energy, for Coparison Purposes Iagine a gigantic air hockey table with a whole bunch of pucks of various asses, none of which experiences any friction

More information

Optimal Resource Allocation in Multicast Device-to-Device Communications Underlaying LTE Networks

Optimal Resource Allocation in Multicast Device-to-Device Communications Underlaying LTE Networks 1 Optial Resource Allocation in Multicast Device-to-Device Counications Underlaying LTE Networks Hadi Meshgi 1, Dongei Zhao 1 and Rong Zheng 2 1 Departent of Electrical and Coputer Engineering, McMaster

More information

Kinetic Theory of Gases: Elementary Ideas

Kinetic Theory of Gases: Elementary Ideas Kinetic Theory of Gases: Eleentary Ideas 17th February 2010 1 Kinetic Theory: A Discussion Based on a Siplified iew of the Motion of Gases 1.1 Pressure: Consul Engel and Reid Ch. 33.1) for a discussion

More information

Interactive Markov Models of Evolutionary Algorithms

Interactive Markov Models of Evolutionary Algorithms Cleveland State University EngagedScholarship@CSU Electrical Engineering & Coputer Science Faculty Publications Electrical Engineering & Coputer Science Departent 2015 Interactive Markov Models of Evolutionary

More information

m potential kinetic forms of energy.

m potential kinetic forms of energy. Spring, Chapter : A. near the surface of the earth. The forces of gravity and an ideal spring are conservative forces. With only the forces of an ideal spring and gravity acting on a ass, energy F F will

More information

The accelerated expansion of the universe is explained by quantum field theory.

The accelerated expansion of the universe is explained by quantum field theory. The accelerated expansion of the universe is explained by quantu field theory. Abstract. Forulas describing interactions, in fact, use the liiting speed of inforation transfer, and not the speed of light.

More information

Quantum algorithms (CO 781, Winter 2008) Prof. Andrew Childs, University of Waterloo LECTURE 15: Unstructured search and spatial search

Quantum algorithms (CO 781, Winter 2008) Prof. Andrew Childs, University of Waterloo LECTURE 15: Unstructured search and spatial search Quantu algoriths (CO 781, Winter 2008) Prof Andrew Childs, University of Waterloo LECTURE 15: Unstructured search and spatial search ow we begin to discuss applications of quantu walks to search algoriths

More information

An analytical relation between relaxation time spectrum and molecular weight distribution

An analytical relation between relaxation time spectrum and molecular weight distribution An analytical relation between relaxation tie spectru and olecular weight distribution Wolfgang Thi, Christian Friedrich, a) Michael Marth, and Josef Honerkap b) Freiburger Materialforschungszentru, Stefan-Meier-Straße

More information

Physics 140 D100 Midterm Exam 2 Solutions 2017 Nov 10

Physics 140 D100 Midterm Exam 2 Solutions 2017 Nov 10 There are 10 ultiple choice questions. Select the correct answer for each one and ark it on the bubble for on the cover sheet. Each question has only one correct answer. (2 arks each) 1. An inertial reference

More information

A Simple Regression Problem

A Simple Regression Problem A Siple Regression Proble R. M. Castro March 23, 2 In this brief note a siple regression proble will be introduced, illustrating clearly the bias-variance tradeoff. Let Y i f(x i ) + W i, i,..., n, where

More information

Ocean 420 Physical Processes in the Ocean Project 1: Hydrostatic Balance, Advection and Diffusion Answers

Ocean 420 Physical Processes in the Ocean Project 1: Hydrostatic Balance, Advection and Diffusion Answers Ocean 40 Physical Processes in the Ocean Project 1: Hydrostatic Balance, Advection and Diffusion Answers 1. Hydrostatic Balance a) Set all of the levels on one of the coluns to the lowest possible density.

More information

Kinetic Theory of Gases: Elementary Ideas

Kinetic Theory of Gases: Elementary Ideas Kinetic Theory of Gases: Eleentary Ideas 9th February 011 1 Kinetic Theory: A Discussion Based on a Siplified iew of the Motion of Gases 1.1 Pressure: Consul Engel and Reid Ch. 33.1) for a discussion of

More information

13.2 Fully Polynomial Randomized Approximation Scheme for Permanent of Random 0-1 Matrices

13.2 Fully Polynomial Randomized Approximation Scheme for Permanent of Random 0-1 Matrices CS71 Randoness & Coputation Spring 018 Instructor: Alistair Sinclair Lecture 13: February 7 Disclaier: These notes have not been subjected to the usual scrutiny accorded to foral publications. They ay

More information

lecture 37: Linear Multistep Methods: Absolute Stability, Part I lecture 38: Linear Multistep Methods: Absolute Stability, Part II

lecture 37: Linear Multistep Methods: Absolute Stability, Part I lecture 38: Linear Multistep Methods: Absolute Stability, Part II lecture 37: Linear Multistep Methods: Absolute Stability, Part I lecture 3: Linear Multistep Methods: Absolute Stability, Part II 5.7 Linear ultistep ethods: absolute stability At this point, it ay well

More information

A MESHSIZE BOOSTING ALGORITHM IN KERNEL DENSITY ESTIMATION

A MESHSIZE BOOSTING ALGORITHM IN KERNEL DENSITY ESTIMATION A eshsize boosting algorith in kernel density estiation A MESHSIZE BOOSTING ALGORITHM IN KERNEL DENSITY ESTIMATION C.C. Ishiekwene, S.M. Ogbonwan and J.E. Osewenkhae Departent of Matheatics, University

More information

Hyperbolic Horn Helical Mass Spectrometer (3HMS) James G. Hagerman Hagerman Technology LLC & Pacific Environmental Technologies April 2005

Hyperbolic Horn Helical Mass Spectrometer (3HMS) James G. Hagerman Hagerman Technology LLC & Pacific Environmental Technologies April 2005 Hyperbolic Horn Helical Mass Spectroeter (3HMS) Jaes G Hageran Hageran Technology LLC & Pacific Environental Technologies April 5 ABSTRACT This paper describes a new type of ass filter based on the REFIMS

More information

A nonstandard cubic equation

A nonstandard cubic equation MATH-Jan-05-0 A nonstandard cubic euation J S Markoitch PO Box West Brattleboro, VT 050 Dated: January, 05 A nonstandard cubic euation is shown to hae an unusually econoical solution, this solution incorporates

More information

Envelope frequency Response Function Analysis of Mechanical Structures with Uncertain Modal Damping Characteristics

Envelope frequency Response Function Analysis of Mechanical Structures with Uncertain Modal Damping Characteristics Copyright c 2007 Tech Science Press CMES, vol.22, no.2, pp.129-149, 2007 Envelope frequency Response Function Analysis of Mechanical Structures with Uncertain Modal Daping Characteristics D. Moens 1, M.

More information

An improved self-adaptive harmony search algorithm for joint replenishment problems

An improved self-adaptive harmony search algorithm for joint replenishment problems An iproved self-adaptive harony search algorith for joint replenishent probles Lin Wang School of Manageent, Huazhong University of Science & Technology zhoulearner@gail.co Xiaojian Zhou School of Manageent,

More information

A Theoretical Analysis of a Warm Start Technique

A Theoretical Analysis of a Warm Start Technique A Theoretical Analysis of a War Start Technique Martin A. Zinkevich Yahoo! Labs 701 First Avenue Sunnyvale, CA Abstract Batch gradient descent looks at every data point for every step, which is wasteful

More information

Using a De-Convolution Window for Operating Modal Analysis

Using a De-Convolution Window for Operating Modal Analysis Using a De-Convolution Window for Operating Modal Analysis Brian Schwarz Vibrant Technology, Inc. Scotts Valley, CA Mark Richardson Vibrant Technology, Inc. Scotts Valley, CA Abstract Operating Modal Analysis

More information

Symbolic Analysis as Universal Tool for Deriving Properties of Non-linear Algorithms Case study of EM Algorithm

Symbolic Analysis as Universal Tool for Deriving Properties of Non-linear Algorithms Case study of EM Algorithm Acta Polytechnica Hungarica Vol., No., 04 Sybolic Analysis as Universal Tool for Deriving Properties of Non-linear Algoriths Case study of EM Algorith Vladiir Mladenović, Miroslav Lutovac, Dana Porrat

More information

The Simplex Method is Strongly Polynomial for the Markov Decision Problem with a Fixed Discount Rate

The Simplex Method is Strongly Polynomial for the Markov Decision Problem with a Fixed Discount Rate The Siplex Method is Strongly Polynoial for the Markov Decision Proble with a Fixed Discount Rate Yinyu Ye April 20, 2010 Abstract In this note we prove that the classic siplex ethod with the ost-negativereduced-cost

More information

Physics 139B Solutions to Homework Set 3 Fall 2009

Physics 139B Solutions to Homework Set 3 Fall 2009 Physics 139B Solutions to Hoework Set 3 Fall 009 1. Consider a particle of ass attached to a rigid assless rod of fixed length R whose other end is fixed at the origin. The rod is free to rotate about

More information