Agent-based Proof Search with Indexed Formulas

Size: px
Start display at page:

Download "Agent-based Proof Search with Indexed Formulas"

Transcription

1 5 I7. - $ '! " gent-based Proof earch with Indexed ormulas Malte Hübner, erge utexier, and Christoph Benzmüller with thans to Voler orge aarland University, aarbrücen, Germany Calculemus 2002, Marseille, July 3rd 34 V2I 6 /R01 8 U#, I R()I*+ % V&

2 M } ƒ U; < >? Ž GRHIVJIK L IO P RQ D C I his is wor in progress 9dapting the suggestion mechanism proof search in COR :- to support based on a (dynamic) rewriting approach (developed by erge utexier) 9COR: new basic inference system for :MG that is hat is the tal about?

3 M } ƒ U; < >? or Ž GRHIVJIK L IO P RQ D C I ystem recently applied to interactive proof of no constraints on the order of quantifier elimination treats (propositional) logical aspects implicit; e.g, unwrapping of hypothesis calculi Our motivation: better suited for practical reasoning than conventional trong support by simplification; e.g., simplifies to Overall goal: rewrite problem formalization to et of rewrite rules dynamically created for each focus Rewriting and focus placement as basic constructs COR: new basis for MG

4 M } ƒ U; < >? GRHIVJIK L IO P RQ D C I Proof of is different! ž xample: ž How does it wor? Ž

5 M IO } ƒ < >? Ž GRHIVJIK L U; D C PMalte Hübner, erge utexier, and Christoph Benzmüller I

6 M } ƒ U; < >? ª ³ ª ««Ž GRHIVJIK L IO P RQ D C I implification: ote: Identical proof for. simplifies to ª ± ² ª ocus on C «ª Internal representation: Indexed formula tree How does it wor?

7 M } ƒ U; < >? GRHIVJIK L IO P RQ D C I º-related subformulas belong to the same context r rewriting ž µ ¹ ž µ Indexed formula tree Ž

8 M } ƒ U; < >? À Á Â Á Ž GRHIVJIK L IO P RQ D C I more information is available in each proof state big steps rather than reasoning about logical details dvantages for proof search: Bactracing ocus choice and rule selection are interdependent Rules of the form»x¼ ½ ¾ Ã are generated dynamically Challenge: choice of focus earch pace: focus) ew system well suited for interaction with humans (but tae care with Properties of COR

9 M } ƒ U; < >? Ž GRHIVJIK L IO P RQ D C I dapt and employ sugggestion mechanism Ä- filters and heuristically orders the instances of applicable rules computes instances of additional tactics and methods computes instances of applicable rewrite rules maes suggestions on how to place focus o support interactive and automated proof search we want a mechanism that: Proof earch

10 M } ƒ U; < >? Æ Ë Çin partial proof; Ç Â Ã GRHIVJIK L IO P RQ D C I Heuristically order applicable rules Certain patterns of instantiations are considered to be applicable Communication (about dependencies between parameters) via blacboards Distributed search for instantiations of distributed computation of instantiations for Â Ë Å Â ÅÆ È É Ê ÌË Ë Å Â ÅÆ Key idea: - Ž

11 M } ƒ < >? GRHIVJIK L IO P U; D C I RQ Ž

12 M } ƒ U; < >? Ž GRHIVJIK L IO P RQ D C I Proposal is to split wor - one agent that employs O-unification - one or several woring with HO-unification Model one generic rewrite agent that handles all rules sequentially: + no dynamic creation of agents - no distribution of complex instantiation criteria (HO-unification) - dynamic creation of agents for each rule + distribution of search for instances Model all (dynamic) rewrite rules as agents in Ä-: How to search for applicable instances in formula tree? eeded: suggestion of applicable rewrite rule instances for current focus Rewriting with dynamically generated rewrite rules instead of D pproach for Rewrite Rules

13 M } ƒ U; < >? Ç Ç Â Ž GRHIVJIK L IO P RQ D C I Ç À ÅÍ ÅÏ Å Ã ransform each applicable instantiation pattern in rewrite rule: If is the set of parameters for which instantiations were found Å Â ÅÎ gents have to search for instantiations in indexed formula tree Use Ä- as it is pplicable partial argument instantiations have to be cast into rewrite rules for application in the system È É Ê Ë Æ Ë Å Â ÅÍ ÅÎ ÅÏ ÅÐ Å Ã tatic tactics/methods still specified and modeled as before: pproach for actics/methods

14 M } ƒ U; < >? ½ Ø Ø Ý GRHIVJIK L IO P RQ D C I»Ú Ý À Ý Ø Ý À Ú Ý ocusing on Ý should yield the following rewrite rules: ÇÑ Ø Ý Ó ÕÔ Ö¾ Å ÂßÑ Ø Ú ÅÍ Ñ à xample: ÙØ Ú Û Ü Þ Ø Ý ÇÑ Ó ÕÔ Ö¾ Å ÂÒÑ ÅÍ Ñ pproach for actics/methods Ž

15 M } ƒ U; < >? Ž GRHIVJIK L IO P RQ D C I user model needed for optimal support? Problem: focus placement can easily become to complicate for humans Criteria of human mathematicians Criteria from theoretical investigations for heuristics/strategies uggests to consider certain foci and excludes other foci from the search ocus gent: pproach for ocus Placement

16 M } ƒ U; < >? Ž GRHIVJIK L IO P RQ D C I mixed-initiative proof search uture wor: utomation of proof search based on Ä- and Possible evaluation: Get a novice user (e.g. maths student) to replay his blacboard proof of a mathematical problem such as irrationnality of in the system as adequately and as comfortably as possible Current focus of wor: Interactive theorem proving Difficulty: interplay between focus placement, dynamic generated rewrite rules, tactics/methods, and bactracing daptation of Ä- to support interactive proof search in COR inding up

Framework for functional tree simulation applied to 'golden delicious' apple trees

Framework for functional tree simulation applied to 'golden delicious' apple trees Purdue University Purdue e-pubs Open Access Theses Theses and Dissertations Spring 2015 Framework for functional tree simulation applied to 'golden delicious' apple trees Marek Fiser Purdue University

More information

! " # $! % & '! , ) ( + - (. ) ( ) * + / 0 1 2 3 0 / 4 5 / 6 0 ; 8 7 < = 7 > 8 7 8 9 : Œ Š ž P P h ˆ Š ˆ Œ ˆ Š ˆ Ž Ž Ý Ü Ý Ü Ý Ž Ý ê ç è ± ¹ ¼ ¹ ä ± ¹ w ç ¹ è ¼ è Œ ¹ ± ¹ è ¹ è ä ç w ¹ ã ¼ ¹ ä ¹ ¼ ¹ ±

More information

F O R SOCI AL WORK RESE ARCH

F O R SOCI AL WORK RESE ARCH 7 TH EUROPE AN CONFERENCE F O R SOCI AL WORK RESE ARCH C h a l l e n g e s i n s o c i a l w o r k r e s e a r c h c o n f l i c t s, b a r r i e r s a n d p o s s i b i l i t i e s i n r e l a t i o n

More information

An Example file... log.txt

An Example file... log.txt # ' ' Start of fie & %$ " 1 - : 5? ;., B - ( * * B - ( * * F I / 0. )- +, * ( ) 8 8 7 /. 6 )- +, 5 5 3 2( 7 7 +, 6 6 9( 3 5( ) 7-0 +, => - +< ( ) )- +, 7 / +, 5 9 (. 6 )- 0 * D>. C )- +, (A :, C 0 )- +,

More information

Optimal Control of PDEs

Optimal Control of PDEs Optimal Control of PDEs Suzanne Lenhart University of Tennessee, Knoville Department of Mathematics Lecture1 p.1/36 Outline 1. Idea of diffusion PDE 2. Motivating Eample 3. Big picture of optimal control

More information

ETIKA V PROFESII PSYCHOLÓGA

ETIKA V PROFESII PSYCHOLÓGA P r a ž s k á v y s o k á š k o l a p s y c h o s o c i á l n í c h s t u d i í ETIKA V PROFESII PSYCHOLÓGA N a t á l i a S l o b o d n í k o v á v e d ú c i p r á c e : P h D r. M a r t i n S t r o u

More information

Redoing the Foundations of Decision Theory

Redoing the Foundations of Decision Theory Redoing the Foundations of Decision Theory Joe Halpern Cornell University Joint work with Larry Blume and David Easley Economics Cornell Redoing the Foundations of Decision Theory p. 1/21 Decision Making:

More information

LA PRISE DE CALAIS. çoys, çoys, har - dis. çoys, dis. tons, mantz, tons, Gas. c est. à ce. C est à ce. coup, c est à ce

LA PRISE DE CALAIS. çoys, çoys, har - dis. çoys, dis. tons, mantz, tons, Gas. c est. à ce. C est à ce. coup, c est à ce > ƒ? @ Z [ \ _ ' µ `. l 1 2 3 z Æ Ñ 6 = Ð l sl (~131 1606) rn % & +, l r s s, r 7 nr ss r r s s s, r s, r! " # $ s s ( ) r * s, / 0 s, r 4 r r 9;: < 10 r mnz, rz, r ns, 1 s ; j;k ns, q r s { } ~ l r mnz,

More information

General Neoclassical Closure Theory: Diagonalizing the Drift Kinetic Operator

General Neoclassical Closure Theory: Diagonalizing the Drift Kinetic Operator General Neoclassical Closure Theory: Diagonalizing the Drift Kinetic Operator E. D. Held eheld@cc.usu.edu Utah State University General Neoclassical Closure Theory:Diagonalizing the Drift Kinetic Operator

More information

Connection equations with stream variables are generated in a model when using the # $ % () operator or the & ' %

Connection equations with stream variables are generated in a model when using the # $ % () operator or the & ' % 7 9 9 7 The two basic variable types in a connector potential (or across) variable and flow (or through) variable are not sufficient to describe in a numerically sound way the bi-directional flow of matter

More information

3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 REDCLIFF MUNICIPAL PLANNING COMMISSION FOR COMMENT/DISCUSSION DATE: TOPIC: April 27 th, 2018 Bylaw 1860/2018, proposed amendments to the Land Use Bylaw regarding cannabis

More information

An Introduction to Optimal Control Applied to Disease Models

An Introduction to Optimal Control Applied to Disease Models An Introduction to Optimal Control Applied to Disease Models Suzanne Lenhart University of Tennessee, Knoxville Departments of Mathematics Lecture1 p.1/37 Example Number of cancer cells at time (exponential

More information

OC330C. Wiring Diagram. Recommended PKH- P35 / P50 GALH PKA- RP35 / RP50. Remarks (Drawing No.) No. Parts No. Parts Name Specifications

OC330C. Wiring Diagram. Recommended PKH- P35 / P50 GALH PKA- RP35 / RP50. Remarks (Drawing No.) No. Parts No. Parts Name Specifications G G " # $ % & " ' ( ) $ * " # $ % & " ( + ) $ * " # C % " ' ( ) $ * C " # C % " ( + ) $ * C D ; E @ F @ 9 = H I J ; @ = : @ A > B ; : K 9 L 9 M N O D K P D N O Q P D R S > T ; U V > = : W X Y J > E ; Z

More information

UNIQUE FJORDS AND THE ROYAL CAPITALS UNIQUE FJORDS & THE NORTH CAPE & UNIQUE NORTHERN CAPITALS

UNIQUE FJORDS AND THE ROYAL CAPITALS UNIQUE FJORDS & THE NORTH CAPE & UNIQUE NORTHERN CAPITALS Q J j,. Y j, q.. Q J & j,. & x x. Q x q. ø. 2019 :. q - j Q J & 11 Y j,.. j,, q j q. : 10 x. 3 x - 1..,,. 1-10 ( ). / 2-10. : 02-06.19-12.06.19 23.06.19-03.07.19 30.06.19-10.07.19 07.07.19-17.07.19 14.07.19-24.07.19

More information

AN IDENTIFICATION ALGORITHM FOR ARMAX SYSTEMS

AN IDENTIFICATION ALGORITHM FOR ARMAX SYSTEMS AN IDENTIFICATION ALGORITHM FOR ARMAX SYSTEMS First the X, then the AR, finally the MA Jan C. Willems, K.U. Leuven Workshop on Observation and Estimation Ben Gurion University, July 3, 2004 p./2 Joint

More information

CONVEX OPTIMIZATION OVER POSITIVE POLYNOMIALS AND FILTER DESIGN. Y. Genin, Y. Hachez, Yu. Nesterov, P. Van Dooren

CONVEX OPTIMIZATION OVER POSITIVE POLYNOMIALS AND FILTER DESIGN. Y. Genin, Y. Hachez, Yu. Nesterov, P. Van Dooren CONVEX OPTIMIZATION OVER POSITIVE POLYNOMIALS AND FILTER DESIGN Y. Genin, Y. Hachez, Yu. Nesterov, P. Van Dooren CESAME, Université catholique de Louvain Bâtiment Euler, Avenue G. Lemaître 4-6 B-1348 Louvain-la-Neuve,

More information

Principal Secretary to Government Haryana, Town & Country Planning Department, Haryana, Chandigarh.

Principal Secretary to Government Haryana, Town & Country Planning Department, Haryana, Chandigarh. 1 From To Principal Secretary to Government Haryana, Town & Country Planning Department, Haryana, Chandigarh. The Director General, Town & Country Planning Department, Haryana, Chandigarh. Memo No. Misc-2339

More information

T i t l e o f t h e w o r k : L a M a r e a Y o k o h a m a. A r t i s t : M a r i a n o P e n s o t t i ( P l a y w r i g h t, D i r e c t o r )

T i t l e o f t h e w o r k : L a M a r e a Y o k o h a m a. A r t i s t : M a r i a n o P e n s o t t i ( P l a y w r i g h t, D i r e c t o r ) v e r. E N G O u t l i n e T i t l e o f t h e w o r k : L a M a r e a Y o k o h a m a A r t i s t : M a r i a n o P e n s o t t i ( P l a y w r i g h t, D i r e c t o r ) C o n t e n t s : T h i s w o

More information

A Proposal for Requirement Engineering

A Proposal for Requirement Engineering A Proposal for Requirement Engineering Fumio Negoro The Institute of Computer Based Software Methodology and Technology 3-11-3 Takanawa, Minato-ku, Tokyo 108-0074, Japan f-negoro@lyee.co.jp http://www.lyee.co.jp

More information

Max. Input Power (W) Input Current (Arms) Dimming. Enclosure

Max. Input Power (W) Input Current (Arms) Dimming. Enclosure Product Overview XI025100V036NM1M Input Voltage (Vac) Output Power (W) Output Voltage Range (V) Output urrent (A) Efficiency@ Max Load and 70 ase Max ase Temp. ( ) Input urrent (Arms) Max. Input Power

More information

Vectors. Teaching Learning Point. Ç, where OP. l m n

Vectors. Teaching Learning Point. Ç, where OP. l m n Vectors 9 Teaching Learning Point l A quantity that has magnitude as well as direction is called is called a vector. l A directed line segment represents a vector and is denoted y AB Å or a Æ. l Position

More information

QUESTIONS ON QUARKONIUM PRODUCTION IN NUCLEAR COLLISIONS

QUESTIONS ON QUARKONIUM PRODUCTION IN NUCLEAR COLLISIONS International Workshop Quarkonium Working Group QUESTIONS ON QUARKONIUM PRODUCTION IN NUCLEAR COLLISIONS ALBERTO POLLERI TU München and ECT* Trento CERN - November 2002 Outline What do we know for sure?

More information

" #$ P UTS W U X [ZY \ Z _ `a \ dfe ih j mlk n p q sr t u s q e ps s t x q s y i_z { U U z W } y ~ y x t i e l US T { d ƒ ƒ ƒ j s q e uˆ ps i ˆ p q y

 #$ P UTS W U X [ZY \ Z _ `a \ dfe ih j mlk n p q sr t u s q e ps s t x q s y i_z { U U z W } y ~ y x t i e l US T { d ƒ ƒ ƒ j s q e uˆ ps i ˆ p q y " #$ +. 0. + 4 6 4 : + 4 ; 6 4 < = =@ = = =@ = =@ " #$ P UTS W U X [ZY \ Z _ `a \ dfe ih j mlk n p q sr t u s q e ps s t x q s y i_z { U U z W } y ~ y x t i e l US T { d ƒ ƒ ƒ j s q e uˆ ps i ˆ p q y h

More information

Welcome to MusikDingsSerif Version 1.

Welcome to MusikDingsSerif Version 1. Welcome to MusiDigsSerif Versio. suite of Serif fots iteded for use with Noteworthy Composer ô*. What is cotaied: MusiDigsSerif: This is a alterative to Boxmars ad Boxmar2. It has several additioal characters

More information

Automatic Control III (Reglerteknik III) fall Nonlinear systems, Part 3

Automatic Control III (Reglerteknik III) fall Nonlinear systems, Part 3 Automatic Control III (Reglerteknik III) fall 20 4. Nonlinear systems, Part 3 (Chapter 4) Hans Norlander Systems and Control Department of Information Technology Uppsala University OSCILLATIONS AND DESCRIBING

More information

Towards a High Level Quantum Programming Language

Towards a High Level Quantum Programming Language MGS Xmas 04 p.1/?? Towards a High Level Quantum Programming Language Thorsten Altenkirch University of Nottingham based on joint work with Jonathan Grattage and discussions with V.P. Belavkin supported

More information

Planning for Reactive Behaviors in Hide and Seek

Planning for Reactive Behaviors in Hide and Seek University of Pennsylvania ScholarlyCommons Center for Human Modeling and Simulation Department of Computer & Information Science May 1995 Planning for Reactive Behaviors in Hide and Seek Michael B. Moore

More information

Front-end. Organization of a Modern Compiler. Middle1. Middle2. Back-end. converted to control flow) Representation

Front-end. Organization of a Modern Compiler. Middle1. Middle2. Back-end. converted to control flow) Representation register allocation instruction selection Code Low-level intermediate Representation Back-end Assembly array references converted into low level operations, loops converted to control flow Middle2 Low-level

More information

Constructive Decision Theory

Constructive Decision Theory Constructive Decision Theory Joe Halpern Cornell University Joint work with Larry Blume and David Easley Economics Cornell Constructive Decision Theory p. 1/2 Savage s Approach Savage s approach to decision

More information

SOLAR MORTEC INDUSTRIES.

SOLAR MORTEC INDUSTRIES. SOLAR MORTEC INDUSTRIES www.mortecindustries.com.au Wind Regions Region A Callytharra Springs Gascoyne Junction Green Head Kununurra Lord Howe Island Morawa Toowoomba Wittanoom Bourke Region B Adelaide

More information

Pharmacological and genomic profiling identifies NF-κB targeted treatment strategies for mantle cell lymphoma

Pharmacological and genomic profiling identifies NF-κB targeted treatment strategies for mantle cell lymphoma CORRECTION NOTICE Nat. Med. 0, 87 9 (014) Pharmacoogica and genomic profiing identifies NF-κB targeted treatment strategies for mante ce ymphoma Rami Raha, Mareie Fric, Rodrigo Romero, Joshua M Korn, Robert

More information

Propositional Calculus - Deductive Systems

Propositional Calculus - Deductive Systems Propositional Calculus - Deductive Systems Moonzoo Kim CS Division of EECS Dept. KAIST moonzoo@cs.kaist.ac.kr http://pswlab.kaist.ac.kr/courses/cs402-07 1 Deductive proofs (1/3) Suppose we want to know

More information

Plasma diagnostics and abundance determinations for planetary nebulae current status. Xiaowei Liu Department of Astronomy, Peking University

Plasma diagnostics and abundance determinations for planetary nebulae current status. Xiaowei Liu Department of Astronomy, Peking University 3 ' 4 2 - '. %! A?@ @ 3 +.?; = ; %,9 ' ü / :, %4 ' 9 8 +! (76 5 +. *". 34 %, /, /10 *$+,,' -+!. *$+ () ', ' & "$# Plasma diagnostics and abundance determinations for planetary nebulae current status

More information

Symbols and dingbats. A 41 Α a 61 α À K cb ➋ à esc. Á g e7 á esc. Â e e5 â. Ã L cc ➌ ã esc ~ Ä esc : ä esc : Å esc * å esc *

Symbols and dingbats. A 41 Α a 61 α À K cb ➋ à esc. Á g e7 á esc. Â e e5 â. Ã L cc ➌ ã esc ~ Ä esc : ä esc : Å esc * å esc * Note: Although every effort ws tken to get complete nd ccurte tble, the uhtor cn not be held responsible for ny errors. Vrious sources hd to be consulted nd MIF hd to be exmined to get s much informtion

More information

New BaBar Results on Rare Leptonic B Decays

New BaBar Results on Rare Leptonic B Decays New BaBar Results on Rare Leptonic B Decays Valerie Halyo Stanford Linear Accelerator Center (SLAC) FPCP 22 valerieh@slac.stanford.edu 1 Table of Contents Motivation to look for and Analysis Strategy Measurement

More information

IUnderstanding who feeds on whom and how often is the basis for

IUnderstanding who feeds on whom and how often is the basis for Acting as Well Known Particle IUnderstanding who feeds on whom and how often is the basis for The vertebral Silence Sea Lion as Scientist Variations on a theme of how to build a body that was laid down

More information

Juan Juan Salon. EH National Bank. Sandwich Shop Nail Design. OSKA Beverly. Chase Bank. Marina Rinaldi. Orogold. Mariposa.

Juan Juan Salon. EH National Bank. Sandwich Shop Nail Design. OSKA Beverly. Chase Bank. Marina Rinaldi. Orogold. Mariposa. ( ) X é X é Q Ó / 8 ( ) Q / ( ) ( ) : ( ) : 44-3-8999 433 4 z 78-19 941, #115 Z 385-194 77-51 76-51 74-7777, 75-5 47-55 74-8141 74-5115 78-3344 73-3 14 81-4 86-784 78-33 551-888 j 48-4 61-35 z/ zz / 138

More information

6. Convert 5021 centimeters to kilometers. 7. How many seconds are in a leap year? 8. Convert the speed 5.30 m/s to km/h.

6. Convert 5021 centimeters to kilometers. 7. How many seconds are in a leap year? 8. Convert the speed 5.30 m/s to km/h. % " ' ) 2 3 1 2 3 + + 4 2 3 L L CHAPTER A Physics Toolkit Practice Problems Mathematics and Physics pages page 5 For each problem, give the rewritten equation you would use and the answer. 1. A lightbulb

More information

Loop parallelization using compiler analysis

Loop parallelization using compiler analysis Loop parallelization using compiler analysis Which of these loops is parallel? How can we determine this automatically using compiler analysis? Organization of a Modern Compiler Source Program Front-end

More information

The University of Bath School of Management is one of the oldest established management schools in Britain. It enjoys an international reputation for

The University of Bath School of Management is one of the oldest established management schools in Britain. It enjoys an international reputation for The University of Bath School of Management is one of the oldest established management schools in Britain. It enjoys an international reputation for the quality of its teaching and research. Its mission

More information

A Beamforming Method for Blind Calibration of Time-Interleaved A/D Converters

A Beamforming Method for Blind Calibration of Time-Interleaved A/D Converters A Beamforming Method for Blind Calibration of Time-nterleaved A/D Converters Bernard C. Levy University of California, Davis Joint wor with Steve Huang September 30, 200 Outline 1 Motivation Problem Formulation

More information

A Functional Quantum Programming Language

A Functional Quantum Programming Language A Functional Quantum Programming Language Thorsten Altenkirch University of Nottingham based on joint work with Jonathan Grattage and discussions with V.P. Belavkin supported by EPSRC grant GR/S30818/01

More information

Citation Osaka Journal of Mathematics. 43(2)

Citation Osaka Journal of Mathematics. 43(2) TitleIrreducible representations of the Author(s) Kosuda, Masashi Citation Osaka Journal of Mathematics. 43(2) Issue 2006-06 Date Text Version publisher URL http://hdl.handle.net/094/0396 DOI Rights Osaka

More information

Block-tridiagonal matrices

Block-tridiagonal matrices Block-tridiagonal matrices. p.1/31 Block-tridiagonal matrices - where do these arise? - as a result of a particular mesh-point ordering - as a part of a factorization procedure, for example when we compute

More information

Obtain from theory/experiment a value for the absorbtion cross-section. Calculate the number of atoms/ions/molecules giving rise to the line.

Obtain from theory/experiment a value for the absorbtion cross-section. Calculate the number of atoms/ions/molecules giving rise to the line. Line Emission Observations of spectral lines offer the possibility of determining a wealth of information about an astronomical source. A usual plan of attack is :- Identify the line. Obtain from theory/experiment

More information

1. Allstate Group Critical Illness Claim Form: When filing Critical Illness claim, please be sure to include the following:

1. Allstate Group Critical Illness Claim Form: When filing Critical Illness claim, please be sure to include the following: Dear Policyholder, Per your recent request, enclosed you will find the following forms: 1. Allstate Group Critical Illness Claim Form: When filing Critical Illness claim, please be sure to include the

More information

Glasgow eprints Service

Glasgow eprints Service Kalna, K. and Asenov, A. (1) Multiple delta doping in aggressively scaled PHEMTs. In, Ryssel, H. and Wachutka, G. and Grunbacher, H., Eds. Solid-State Device Research Conference, 11-13 September 1, pages

More information

ALTER TABLE Employee ADD ( Mname VARCHAR2(20), Birthday DATE );

ALTER TABLE Employee ADD ( Mname VARCHAR2(20), Birthday DATE ); !! "# $ % & '( ) # * +, - # $ "# $ % & '( ) # *.! / 0 "# "1 "& # 2 3 & 4 4 "# $ % & '( ) # *!! "# $ % & # * 1 3 - "# 1 * #! ) & 3 / 5 6 7 8 9 ALTER ; ? @ A B C D E F G H I A = @ A J > K L ; ?

More information

THE ANALYSIS OF THE CONVECTIVE-CONDUCTIVE HEAT TRANSFER IN THE BUILDING CONSTRUCTIONS. Zbynek Svoboda

THE ANALYSIS OF THE CONVECTIVE-CONDUCTIVE HEAT TRANSFER IN THE BUILDING CONSTRUCTIONS. Zbynek Svoboda THE NLSIS OF THE CONECTIE-CONDUCTIE HET TRNSFER IN THE BUILDING CONSTRUCTIONS Zbynek Soboda Czech Technical Uniersity in Prague Faculty of Ciil Engineering 166 29 Prague 6 - Czech Republic BSTRCT The numerical

More information

Vector analysis. 1 Scalars and vectors. Fields. Coordinate systems 1. 2 The operator The gradient, divergence, curl, and Laplacian...

Vector analysis. 1 Scalars and vectors. Fields. Coordinate systems 1. 2 The operator The gradient, divergence, curl, and Laplacian... Vector analysis Abstract These notes present some background material on vector analysis. Except for the material related to proving vector identities (including Einstein s summation convention and the

More information

New method for solving nonlinear sum of ratios problem based on simplicial bisection

New method for solving nonlinear sum of ratios problem based on simplicial bisection V Ù â ð f 33 3 Vol33, No3 2013 3 Systems Engineering Theory & Practice Mar, 2013 : 1000-6788(2013)03-0742-06 : O2112!"#$%&')(*)+),-))/0)1)23)45 : A 687:9 1, ;:= 2 (1?@ACBEDCFHCFEIJKLCFFM, NCO 453007;

More information

Examination paper for TFY4240 Electromagnetic theory

Examination paper for TFY4240 Electromagnetic theory Department of Physics Examination paper for TFY4240 Electromagnetic theory Academic contact during examination: Associate Professor John Ove Fjærestad Phone: 97 94 00 36 Examination date: 16 December 2015

More information

Optimization of a parallel 3d-FFT with non-blocking collective operations

Optimization of a parallel 3d-FFT with non-blocking collective operations Optimization of a parallel 3d-FFT with non-blocking collective operations Chair of Computer Architecture Technical University of Chemnitz Département de Physique Théorique et Appliquée Commissariat à l

More information

S T A T E B U D G E T : T A X A M E N D M E N T S

S T A T E B U D G E T : T A X A M E N D M E N T S i T A X I N F O R M ATION N. 1 J a n u a r y 2 0 1 3 2 0 1 3 S T A T E B U D G E T : T A X A M E N D M E N T S I. I N T R O D U C T I O N................................... 2 I I. P E R S O N A L I N C

More information

Towards a numerical solution of the "1/2 vs. 3/2" puzzle

Towards a numerical solution of the 1/2 vs. 3/2 puzzle Towards a numerical solution of the /2 s 3/2 puzzle Benoît Blossier DESY Zeuthen Motiations Hea Quark Effectie Theor Theoretical expectations Experimental measurements umerical computation of Conclusion

More information

Propositional Calculus - Semantics (3/3) Moonzoo Kim CS Dept. KAIST

Propositional Calculus - Semantics (3/3) Moonzoo Kim CS Dept. KAIST Propositional Calculus - Semantics (3/3) Moonzoo Kim CS Dept. KAIST moonzoo@cs.kaist.ac.kr 1 Overview 2.1 Boolean operators 2.2 Propositional formulas 2.3 Interpretations 2.4 Logical Equivalence and substitution

More information

Continuing Education and Workforce Training Course Schedule Winter / Spring 2010

Continuing Education and Workforce Training Course Schedule Winter / Spring 2010 Continuing Education and Workforce Training Course Schedule Winter / Spring 2010 www.southeastmn.edu/training Creating the Solution that Fits! Information Information Registration Registration via our

More information

4.3 Laplace Transform in Linear System Analysis

4.3 Laplace Transform in Linear System Analysis 4.3 Laplace Transform in Linear System Analysis The main goal in analysis of any dynamic system is to find its response to a given input. The system response in general has two components: zero-state response

More information

LABELLED DEDUCTION. SEÁN MATTHEWS Max-Planck-Insitut für Informatik. LUCA VIGANÒ University of Freiburg

LABELLED DEDUCTION. SEÁN MATTHEWS Max-Planck-Insitut für Informatik. LUCA VIGANÒ University of Freiburg LABELLED DEDUCTN LABELLED DEDUCTN Edited by DAVD BASN University of Freiburg MARCELL D AGSTN University of Ferrara DV M GABBAY King s College SEÁN MATTHEWS Max-Planck-nsitut für nformatik LUCA VGANÒ University

More information

Final exam: Automatic Control II (Reglerteknik II, 1TT495)

Final exam: Automatic Control II (Reglerteknik II, 1TT495) Uppsala University Department of Information Technology Systems and Control Professor Torsten Söderström Final exam: Automatic Control II (Reglerteknik II, TT495) Date: October 22, 2 Responsible examiner:

More information

CHAPTER 3 Describing Relationships

CHAPTER 3 Describing Relationships CHAPTER 3 Describing Relationships 3.1 Scatterplots and Correlation The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Scatterplots and Correlation Learning

More information

Matrices and Determinants

Matrices and Determinants Matrices and Determinants Teaching-Learning Points A matri is an ordered rectanguar arra (arrangement) of numbers and encosed b capita bracket [ ]. These numbers are caed eements of the matri. Matri is

More information

Periodic monopoles and difference modules

Periodic monopoles and difference modules Periodic monopoles and difference modules Takuro Mochizuki RIMS, Kyoto University 2018 February Introduction In complex geometry it is interesting to obtain a correspondence between objects in differential

More information

Rules Build Arguments Rules Building Arguments

Rules Build Arguments Rules Building Arguments Section 1.6 1 Section Summary Valid Arguments Inference Rules for Propositional Logic Using Rules of Inference to Build Arguments Rules of Inference for Quantified Statements Building Arguments for Quantified

More information

Differentiating Functions & Expressions - Edexcel Past Exam Questions

Differentiating Functions & Expressions - Edexcel Past Exam Questions - Edecel Past Eam Questions. (a) Differentiate with respect to (i) sin + sec, (ii) { + ln ()}. 5-0 + 9 Given that y =, ¹, ( -) 8 (b) show that = ( -). (6) June 05 Q. f() = e ln, > 0. (a) Differentiate

More information

Final exam: Automatic Control II (Reglerteknik II, 1TT495)

Final exam: Automatic Control II (Reglerteknik II, 1TT495) Uppsala University Department of Information Technology Systems and Control Professor Torsten Söderström Final exam: Automatic Control II (Reglerteknik II, TT495) Date: October 6, Responsible examiner:

More information

Testing SUSY Dark Matter

Testing SUSY Dark Matter Testing SUSY Dark Matter Wi de Boer, Markus Horn, Christian Sander Institut für Experientelle Kernphysik Universität Karlsruhe Wi.de.Boer@cern.ch http://hoe.cern.ch/ deboerw SPACE Part Elba, May 7, CMSSM

More information

Cairns Hospital: Suspected Acute Coronary Syndrome Pathways. DO NOT USE if a non cardiac cause for the chest pain can be diagnosed

Cairns Hospital: Suspected Acute Coronary Syndrome Pathways. DO NOT USE if a non cardiac cause for the chest pain can be diagnosed Cairns Hospital: Suspected Acute Coronary Syndrome Pathways DO NOT USE if a non cardiac cause for the chest pain can be diagnosed Clinical pathways never replace clinical judgement. Care outlined on this

More information

TELEMATICS LINK LEADS

TELEMATICS LINK LEADS EEAICS I EADS UI CD PHOE VOICE AV PREIU I EADS REQ E E A + A + I A + I E B + E + I B + E + I B + E + H B + I D + UI CD PHOE VOICE AV PREIU I EADS REQ D + D + D + I C + C + C + C + I G G + I G + I G + H

More information

SCOTT PLUMMER ASHTON ANTONETTI

SCOTT PLUMMER ASHTON ANTONETTI 2742 A E E E, UE, AAAMA 3802 231 EE AEA 38,000-cre dversfed federl cmus 41,000 emloyees wth 72+ dfferent gences UE roosed 80-cre mster-lnned develoment 20 home stes 3,000F of vllgestyle retl 100,000 E

More information

1. CALL TO ORDER 2. ROLL CALL 3. PLEDGE OF ALLEGIANCE 4. ORAL COMMUNICATIONS (NON-ACTION ITEM) 5. APPROVAL OF AGENDA 6. EWA SEJPA INTEGRATION PROPOSAL

1. CALL TO ORDER 2. ROLL CALL 3. PLEDGE OF ALLEGIANCE 4. ORAL COMMUNICATIONS (NON-ACTION ITEM) 5. APPROVAL OF AGENDA 6. EWA SEJPA INTEGRATION PROPOSAL SPECIAL MEETING AGENDA SAN ELIJO JOINT POWERS AUTHORITY (SEJPA) TUESDAY JULY 12, 2016 AT 8:30 AM ENCINA WATER POLLUTION CONTROL FACILITY (EWA) BOARD MEETING ROOM 6200 AVENIDA ENCINAS CARLSBAD, CALIFORNIA

More information

Complex Analysis. PH 503 Course TM. Charudatt Kadolkar Indian Institute of Technology, Guwahati

Complex Analysis. PH 503 Course TM. Charudatt Kadolkar Indian Institute of Technology, Guwahati Complex Analysis PH 503 Course TM Charudatt Kadolkar Indian Institute of Technology, Guwahati ii Copyright 2000 by Charudatt Kadolkar Preface Preface Head These notes were prepared during the lectures

More information

Sample Exam 1: Chapters 1, 2, and 3

Sample Exam 1: Chapters 1, 2, and 3 L L 1 ' ] ^, % ' ) 3 Sample Exam 1: Chapters 1, 2, and 3 #1) Consider the lineartime invariant system represented by Find the system response and its zerostate and zeroinput components What are the response

More information

MATH140 Exam 2 - Sample Test 1 Detailed Solutions

MATH140 Exam 2 - Sample Test 1 Detailed Solutions www.liontutors.com 1. D. reate a first derivative number line MATH140 Eam - Sample Test 1 Detailed Solutions cos -1 0 cos -1 cos 1 cos 1/ p + æp ö p æp ö ç è 4 ø ç è ø.. reate a second derivative number

More information

Queues, Stack Modules, and Abstract Data Types. CS2023 Winter 2004

Queues, Stack Modules, and Abstract Data Types. CS2023 Winter 2004 Queues Stack Modules and Abstact Data Types CS2023 Wnte 2004 Outcomes: Queues Stack Modules and Abstact Data Types C fo Java Pogammes Chapte 11 (11.5) and C Pogammng - a Moden Appoach Chapte 19 Afte the

More information

Population Dynamics in a Microfounded Predator-Prey Model. Thomas Christiaans. University of Siegen. Discussion Paper No

Population Dynamics in a Microfounded Predator-Prey Model. Thomas Christiaans. University of Siegen. Discussion Paper No Volkswirtschaftliche Diskussionsbeiträge V W L Population Dynamics in a Microfounded Predator-Prey Model Thomas Christiaans University of Siegen Discussion Paper No. 8-04 ISSN 433-058x UNIVERSITÄT SIEGEN

More information

MacLane s coherence theorem expressed as a word problem

MacLane s coherence theorem expressed as a word problem MacLane s coherence theorem expressed as a word problem Paul-André Melliès Preuves, Programmes, Systèmes CNRS UMR-7126, Université Paris 7 ÑÐÐ ÔÔ ºÙ ÙºÖ DRAFT In this draft, we reduce the coherence theorem

More information

MATH 174: Numerical Analysis I. Math Division, IMSP, UPLB 1 st Sem AY

MATH 174: Numerical Analysis I. Math Division, IMSP, UPLB 1 st Sem AY MATH 74: Numerical Analysis I Math Division, IMSP, UPLB st Sem AY 0809 Eample : Prepare a table or the unction e or in [0,]. The dierence between adjacent abscissas is h step size. What should be the step

More information

Block vs. Stream cipher

Block vs. Stream cipher Block vs. Stream cipher Idea of a block cipher: partition the text into relatively large (e.g. 128 bits) blocks and encode each block separately. The encoding of each block generally depends on at most

More information

On Urquhart s C Logic

On Urquhart s C Logic On Urquhart s C Logic Agata Ciabattoni Dipartimento di Informatica Via Comelico, 39 20135 Milano, Italy ciabatto@dsiunimiit Abstract In this paper we investigate the basic many-valued logics introduced

More information

Propositional Calculus - Natural deduction Moonzoo Kim CS Dept. KAIST

Propositional Calculus - Natural deduction Moonzoo Kim CS Dept. KAIST Propositional Calculus - Natural deduction Moonzoo Kim CS Dept. KAIST moonzoo@cs.kaist.ac.kr 1 Review Goal of logic To check whether given a formula Á is valid To prove a given formula Á ` Á Syntactic

More information

Emefcy Group Limited (ASX : EMC) ASX Appendix 4D Half Year Report and Interim Financial Statements for the six months ended 30 June 2016

Emefcy Group Limited (ASX : EMC) ASX Appendix 4D Half Year Report and Interim Financial Statements for the six months ended 30 June 2016 Emefcy Group Limited (ASX EMC) ASX Appendix D Half Year Report and Interim Financial Statements for the six months ended June 6 Melbourne Australia and Caesarea Israel 6 August 6 he Company s ASX Appendix

More information

Surface Modification of Nano-Hydroxyapatite with Silane Agent

Surface Modification of Nano-Hydroxyapatite with Silane Agent ß 23 ß 1 «Ã Vol. 23, No. 1 2008 Ç 1 Journal of Inorganic Materials Jan., 2008» : 1000-324X(2008)01-0145-05 Þ¹ Ò À Đ³ Ù Å Ð (ÎÄÅ Ç ÂÍ ËÊÌÏÁÉ È ÃÆ 610064) Ì É (KH-560) ¼ ³ (n-ha) ³ ËØ ÌË n-ha KH-560 Õ Ì»Þ

More information

Ú Bruguieres, A. Virelizier, A. [4] Á «Î µà Monoidal

Ú Bruguieres, A. Virelizier, A. [4] Á «Î µà Monoidal 40 2 Æ Vol.40, No.2 2011 4 ADVANCES IN MATHEMATICS April, 2011 273165) T- ÆÖ Ñ Ó 1,, 2 (1. È Ä È 832003; 2. È Ä È Ì. ½ A- (coring) T- (comonad) ( ± A º ¼ T º (monad)).» ³¹ (firm) µ ³ Frobenius ² ¾ ³ ¾

More information

Harlean. User s Guide

Harlean. User s Guide Harlean User s Guide font faq HOW TO INSTALL YOUR FONT You will receive your files as a zipped folder. For instructions on how to unzip your folder, visit LauraWorthingtonType.com/faqs/. Your font is available

More information

Using Rational Approximations For Evaluating The Reliability of Highly Reliable Systems

Using Rational Approximations For Evaluating The Reliability of Highly Reliable Systems " ", 1 Using Rational Approximations For Evaluating The Reliability of Highly Reliable Systems Z. Koren, J. Rajagopal, C. M. Krishna, and I. Koren Dept. of Elect. and Comp. Engineering University of Massachusetts

More information

Search for MSSM Higgs at LEP. Haijun Yang. University of Michigan, Ann Arbor

Search for MSSM Higgs at LEP. Haijun Yang. University of Michigan, Ann Arbor Search for MSSM Higgs at LEP Haijun Yang University of Michigan, Ann Arbor Physics Seminar at Univ. of Michigan February 4, 2002 Introduction of MSSM UTLINE L Main Backgrounds L Analysis Procedure LEP

More information

Finding small factors of integers. Speed of the number-field sieve. D. J. Bernstein University of Illinois at Chicago

Finding small factors of integers. Speed of the number-field sieve. D. J. Bernstein University of Illinois at Chicago The number-field sieve Finding small factors of integers Speed of the number-field sieve D. J. Bernstein University of Illinois at Chicago Prelude: finding denominators 87366 22322444 in R. Easily compute

More information

Final exam: Computer-controlled systems (Datorbaserad styrning, 1RT450, 1TS250)

Final exam: Computer-controlled systems (Datorbaserad styrning, 1RT450, 1TS250) Uppsala University Department of Information Technology Systems and Control Professor Torsten Söderström Final exam: Computer-controlled systems (Datorbaserad styrning, RT450, TS250) Date: December 9,

More information

Radiative Electroweak Symmetry Breaking with Neutrino Effects in Supersymmetric SO(10) Unifications

Radiative Electroweak Symmetry Breaking with Neutrino Effects in Supersymmetric SO(10) Unifications KEKPH06 p.1/17 Radiative Electroweak Symmetry Breaking with Neutrino Effects in Supersymmetric SO(10) Unifications Kentaro Kojima Based on the work with Kenzo Inoue and Koichi Yoshioka (Department of Physics,

More information

This document has been prepared by Sunder Kidambi with the blessings of

This document has been prepared by Sunder Kidambi with the blessings of Ö À Ö Ñ Ø Ò Ñ ÒØ Ñ Ý Ò Ñ À Ö Ñ Ò Ú º Ò Ì ÝÊ À Å Ú Ø Å Ê ý Ú ÒØ º ÝÊ Ú Ý Ê Ñ º Å º ² ºÅ ý ý ý ý Ö Ð º Ñ ÒÜ Æ Å Ò Ñ Ú «Ä À ý ý This document has been prepared by Sunder Kidambi with the blessings of Ö º

More information

Automating the Finite Element Method

Automating the Finite Element Method Automating the Finite Element Method Anders Logg logg@tti-c.org Toyota Technological Institute at Chicago Johan Hoffman, Johan Jansson, Claes Johnson, Robert C. Kirby, Matthew Knepley, Ridgway Scott Simula

More information

1) Standards and Methodology for the Evaluation of Financial Statements 2) Letter of Credit Instructions

1) Standards and Methodology for the Evaluation of Financial Statements 2) Letter of Credit Instructions TO: IATA Travel Agencies DATE: 29 th January 2016 REFERENCE: Annual Financial Review Preparation - Agency Risk Management Guideline About In preparation for your agency s upcoming annual financial review,

More information

A Language for Task Orchestration and its Semantic Properties

A Language for Task Orchestration and its Semantic Properties DEPARTMENT OF COMPUTER SCIENCES A Language for Task Orchestration and its Semantic Properties David Kitchin, William Cook and Jayadev Misra Department of Computer Science University of Texas at Austin

More information

Manifold Regularization

Manifold Regularization Manifold Regularization Vikas Sindhwani Department of Computer Science University of Chicago Joint Work with Mikhail Belkin and Partha Niyogi TTI-C Talk September 14, 24 p.1 The Problem of Learning is

More information

THE LOGIC OF QUANTIFIED STATEMENTS. Predicates and Quantified Statements I. Predicates and Quantified Statements I CHAPTER 3 SECTION 3.

THE LOGIC OF QUANTIFIED STATEMENTS. Predicates and Quantified Statements I. Predicates and Quantified Statements I CHAPTER 3 SECTION 3. CHAPTER 3 THE LOGIC OF QUANTIFIED STATEMENTS SECTION 3.1 Predicates and Quantified Statements I Copyright Cengage Learning. All rights reserved. Copyright Cengage Learning. All rights reserved. Predicates

More information

A Theory of Universal AI

A Theory of Universal AI A Theory of Universa AI Literature Marcus Hutter Kircherr, Li, and Vitanyi Presenter Prashant J. Doshi CS594: Optima Decision Maing A Theory of Universa Artificia Inteigence p.1/18 Roadmap Caim Bacground

More information

Some emission processes are intrinsically polarised e.g. synchrotron radiation.

Some emission processes are intrinsically polarised e.g. synchrotron radiation. Polarisation Some emission processes are intrinsically polarised e.g. synchrotron radiation. B e linearly polarised emission circularly polarised emission Scattering processes can either increase or decrease

More information

DEVELOPMENT SITES FOR SALE

DEVELOPMENT SITES FOR SALE DISEY/UIVERS/SE WORD RE DESRIPTIO truly one-of-a-kind property in the heart of the tourist area in Orlando, Florida. This development opportunity is uniquely positioned between Disney World, Universal,

More information