69_ Offene Team Meistershaft(Swiss 5 of 9)

Size: px
Start display at page:

Download "69_ Offene Team Meistershaft(Swiss 5 of 9)"

Transcription

1 _ Offene Team Meistershaft(wiss of ) _ Offene Team Meistershaft(wiss of ) Lindenthal und Fre vs Team Auken Lindenthal und Fre Team Auken Team Auken Lindenthal und Fre Felmy Castner Auken Khanukov Gotard Rehder elland ˆ st Board Contract By M D - - Contract By M D - - IMPs x x IMPs Lindenthal und Fre Team Auken This segment Penalty 0 0 Carryover 0 0 total - - References: BridgeBase online. dited by M.ugino

2 _ Offene Team Meistershaft(wiss of ) Board : Lindenthal und Fre - 0 : Team Auken - 0 o 0 c 0-00 A J A J A KQ Q KQ AKQ J K J - : Felmy : Rehder Open : Castner : Gotard X p p p p # :: K,A,, # ::,, A, # :: K,,, # ::,,J, # ::,A,, davidcole: soll ich kommentieren? davidcole: welcome to the th round of the German championships..! vugraphzhb: hi all and welcome back davidcole: ast est can make davidcole: Martin Rehder and Kevin Castner are not a regular partnership. vugraphzhb: running scores: dm.html davidcole: Kevin was captain of the German team that did very well at the uropean championships, and Martin was the youngest player in the team. davidcole: this is a good start......p....p..p..p Board : Team Auken - 0 : Lindenthal und Fre - 0 o 0 c 0-00 A J A J A KQ Q KQ AKQ J K J - : Auken : ˆ st Closed : Khanukov : elland p p p p # :: Q,,A, - -

3 _ Offene Team Meistershaft(wiss of ) Board : Lindenthal und Fre - 0 : Team Auken o c - 0 A Q Q J J A K AK K Q Q J J A K - : Felmy : Rehder Open : Castner : Gotard X p p p p # :: A,,, # :: K,,, # ::,Q,, J # ::,K,, # ::,,, # :: A,,,K # :: Q,,, # ::,,A,T # :: Q,,, davidcole: not surprisingly at the other table abine Auken opened the orth hand levels higher - but just another flat board.. K.. A A.... K J A p....p..p..p.. Q.... A.. davidcole: this is likely to make p....p..p..p.. A K Q davidcole: Good play from Gotard - asks for a return, and hope declarer will guess wrong.... J.. davidcole: ell guessed by Kevin Castner - should be rewarded with a imp swing.. K Board : Team Auken : Lindenthal und Fre - 0 o c - 0 A Q Q J J A K AK K Q Q J J A K - : Auken : ˆ st Closed : Khanukov : elland X p p p p # :: A,,, # :: K,,,J # ::,Q,, # ::,,Q, # ::,,A,K # ::,,, # :: J,T,, # ::,,,A # ::,K,A, # ::,,, - -

4 _ Offene Team Meistershaft(wiss of ) Board : Lindenthal und Fre - 0 : Team Auken o c x Q A K K A J J J KQ KQ J Q A A : Felmy : Rehder Open : Castner : Gotard p p p 0 on - and who am I to say that he got it wrong. Anyway this will be imps to ast-est.... Q.. A.. T.. K.. A J.. Q # :: T,,Q,A # :: T,K,A, # ::,J,Q, # :: K,,,Q # ::,J,A, davidcole: ast est can make as the king is singleton - normally they will be in game... A K.. Q A.. T.. Q p....p..p..p.. A K J.... Q Q A.. K J.. T A.... K.. A davidcole: orth outh will make tricks in - let us see how high they bid..!..!+!c davidcole: a fit jump - showing and.... davidcole: Gotard knows that he does not have many losers in. But he also knows that he does not have many defensive tricks p..p..p davidcole: He makes the normal, conservative decision. If you have put pressure on the opponents by preempting, hope that they have guessed wrong.. T davidcole: At the other table Roy elland bid - -

5 _ Offene Team Meistershaft(wiss of ) Board : Team Auken : Lindenthal und Fre - 0 o c x Q A K K A J J J KQ KQ J Q A A 0 : Auken : ˆ st Closed : Khanukov : elland X p p p X p p p # :: A,,, # :: T,K,A,J # ::,K,, # ::,,A,Q # ::,Q,, Board : Lindenthal und Fre : Team Auken - o c Q J AQ J K K A AK AKQ Q J J : Felmy : Rehder Open : Castner : Gotard p p X p p p p p # :: A,,, # :: Q,K,, # ::,,A, # :: K,,,J # :: Q,,,J # :: A,,, # :: K,J,, # ::,Q,,T # :: T,, T, # :: J,,, # ::,K,, davidcole: orth -outh have points and stoppers everywhere, which usually means T.... K Q.... J.. A......! s+!c....0-!ss,!h-fit wants to bid..p......p..p....p..p..p.. A T.. K.. A.. J.... K A.. Q.... Q....p..p....p davidcole: outh shows a hand too strong to bid a simple on the first round....p....p davidcole: I am sure Auken-elland will be in game, so this should be a few imps to orth/ outh..p..p.. A davidcole: although maybe they will make T Q.. K

6 _ Offene Team Meistershaft(wiss of ) Board : Team Auken - : Lindenthal und Fre o c Q J AQ J K K A AK AKQ Q J J : Auken : ˆ st Closed : Khanukov : elland p p p # ::,,K, # :: Q,,, # :: A,,,J # ::,,K, # ::,,A,J # :: K,,, # ::,Q,,T Board : Lindenthal und Fre : Team Auken - o - 0 c 00 0 Q Q J Q J K AQ A K J AK J AK - - : Felmy : Rehder Open : Castner : Gotard p p p p p p p p p # :: A,,, # ::,,T,A # :: A,,, # :: K,,, # ::,,Q,J # ::,, K, # :: A,,, # ::,,,Q # ::,J,Q, vugraphzhb: they play T by in the closed room A.... K J.. Q J.. A K.. J Q.... T.. T.... T.... J K...-..p..p..p K.... Q A J K A.. J.. K Q.... T davidcole: it is not clear whether T will make. Higher contracts will not make...p..!..majors or GF..p....p....p.. davidcole: Unlucky lead..p....p....p..p..p.. A davidcole: The is discouraging, so outh should not play another heart. I expect a davidcole: ell defended by Felmy - if he had ruffed, declared could have discarded a on the - -

7 _ Offene Team Meistershaft(wiss of ) King and would have made T.. A.. A K Q.. J K.... A Board : Team Auken - : Lindenthal und Fre o - 0 c 00 0 Q Q J Q J K AQ A K J AK J AK - - : Auken : ˆ st Closed : Khanukov : elland p p p p p p p p p # ::,,J,A # :: A,,, # :: K,,, # ::,,,Q # ::,J,Q, # ::,,T,K # :: J,, T, # ::,,, # ::,, Q, - -

8 _ Offene Team Meistershaft(wiss of ) Board : Lindenthal und Fre - : Team Auken o - 0 c 0 K Q J J AK K Q A AQ A K J Q J : Felmy : Rehder Open : Castner : Gotard p p p p p p p p # :: J,,,Q # ::,,T,J # ::,,,K # :: A,,, # :: J,,,K # ::,,, A # :: T,,,A davidcole: I do not understand the bidding, but the contract is unlikely to make.... Q.... J.. Q....p p p....!h or bal +..p....ask..p...+ bal..p...p..p..p J.. A.. A K Q.... J.. Q T.. K.. J.... T Q....p..!..p..!..p....p....p.. Board : Team Auken : Lindenthal und Fre - o - 0 c 0 K Q J J AK K Q A AQ A K J Q J : Auken : ˆ st Closed : Khanukov : elland p p p p p p # :: A,,, # ::,A,J, # ::,,A, # :: K,,, # :: J,,Q,K # :: T,,,A # :: T,,, # ::,,, p - -

9 _ Offene Team Meistershaft(wiss of ) Board : Lindenthal und Fre - : Team Auken o - 0 c x 0 KQ K K Q Q Q A J A J A A J K J - : Felmy : Rehder Open : Castner : Gotard p p p p # :: K,,, # ::,,A,T # :: J,,, # ::,,Q,K # ::,A,, # ::,,, # :: Q,,,K # :: Q,,, # :: A,,T, # ::,, J, # :: A,,,J # :: J, T,, # ::, K,Q, T Board : Team Auken : Lindenthal und Fre - o - 0 c x 0 KQ K K Q Q Q A J A J A A J K J - : Auken : ˆ st Closed : Khanukov : elland X p p p X p p p # :: T,,,A # :: A,,Q, # ::,,, # ::,,, # ::, K,, # :: Q,,, # ::,,A,T # :: J, A,, # ::, Q, T, T # ::,,, K # :: J, K,, K - -

10 _ Offene Team Meistershaft(wiss of ) Board : Lindenthal und Fre - : Team Auken o 0 c 0 0 AK K J Q J A K Q A K J A J - Q Q : Felmy : Rehder Open : Castner : Gotard p p p p p p p p p Q.. T.. T K.. J.. K.... K..p..p..p...p..!..p....p...p..p..p.. vugraphzhb: thanks all, bye for now.. Q K Q.. A.... A K A K Q.. # ::,Q,, # :: K,,, # ::,Q,A, # :: A,,, # ::,K,, # :: A,,, # :: K,,,Q # ::,,, davidcole: an easy T for /, and a win for the Auken team..p..p..p.. J Q T.. J K.. A J K A.. T A....+!d, -..p....p...p..p....p..p..p.. A A.. J A.... K J.... Q.. K.. T A.. T p....p..p..p.. K A.. T.. J Q.. K.... A Q K.. Q A.... T J.... A J.. J.. T K.. Q.. T......p...!c....p..p....p..p..p.. T A.. A.... Q K Q A.. T.. J.. A

11 _ Offene Team Meistershaft(wiss of ) Board : Team Auken : Lindenthal und Fre - o 0 c 0 0 AK K J Q J A K Q A K J A J - Q Q : Auken : ˆ st Closed : Khanukov : elland p p p p p p p # ::,,Q,A # ::,,Q, # ::,,A, # ::,K,, # ::,,Q,K # ::,,K, # :: J,,, T # :: A,,, - -

- 1 - References: BridgeBase online. Edited by M.Sugino. T-B Cavendish Monaco(Segment Q1_4) T-B Cavendish Monaco(Segment Q1_4)

- 1 - References: BridgeBase online. Edited by M.Sugino. T-B Cavendish Monaco(Segment Q1_4) T-B Cavendish Monaco(Segment Q1_4) T-B1 01 Cavendish Monaco(egment Q1_) T-B1 01 Cavendish Monaco(egment Q1_) Team 1 vs Team Team 1 Team Team Team 1 ITI DI BLLO orth ast ZIA DAVOA outh est Board Contract By M D - - Contract By M D - - IMPs

More information

Swedish Cup QF (2_2)

Swedish Cup QF (2_2) wedish Cu QF (_) wedish Cu QF (_) Zmrzlina vs BK Grˆ na Kvistar Zmrzlina BK Grˆ na Kvistar BK Grˆ na Kvistar Zmrzlina Aslund Ahlesved Brehmer riksson Pettersson Grˆ nkvist Grˆ nkvist cherdin Board Contract

More information

BBO1-2018EWG(ZC-SW1)

BBO1-2018EWG(ZC-SW1) BBO1-201G(ZC-1) BBO1-201G(ZC-1) ZIMMRMA vs BAK ZIMMRMA BAK BAK ZIMMRMA T HL RAMU F HL LAURIA HLGMO BAKK HOYLAD VRAC Board Contract By M D - - Contract By M D - - IMPs 1 1 0 2-2 2 1 0 2 2 1-20 20 - - 1

More information

Swedish Premier League(4:2)

Swedish Premier League(4:2) wedish Premier League(:) wedish Premier League(:) Zmrzlina vs orrort Zmrzlina orrort orrort Zmrzlina ˆ tberg elberg Gullberg riksson Bjˆ ring ademark Grˆ nkvist cherdin Board Contract By M D - - Contract

More information

Norwegian Premier League 2017_2018(RR 10-2)

Norwegian Premier League 2017_2018(RR 10-2) orwegian Premier League 1_1(RR 1-) orwegian Premier League 1_1(RR 1-) Hauge vs Thoresen Hauge Thoresen Thoresen Hauge Lindqvist Ovesen tabell Berg Brogeland Hˆ yland Thoresen Kristoffer Board Contract

More information

B - Q 11th YEH BROS CUP(Round 10)

B - Q 11th YEH BROS CUP(Round 10) B - Q th YH BRO CUP(Round ) B - Q th YH BRO CUP(Round ) Kokish vs weden Kokish weden weden Kokish H.Bertens F.rang J.Umark F.Gitelman C.Cheek J.ylvan F.ystrom.Kokish Board Contract By M D - - Contract

More information

3rd International Intercity Tournament Novi Sad(FINAL-final segment)

3rd International Intercity Tournament Novi Sad(FINAL-final segment) Plovdiv vs Beograd Plovdiv Beograd Beograd Plovdiv Alexandrov Koldzic Ziovski albatska Isaeva Jovanovic Kikic Kostadinov Board Contract By M D - - Contract By M D - - IMPs 1 x 0 20-2 00 1 1 0 12 - x 1

More information

2nd EBL Small Federations Trophy(SEMIFINAL 2_2)

2nd EBL Small Federations Trophy(SEMIFINAL 2_2) nd BL mall Federations Trohy(MIFIAL _) nd BL mall Federations Trohy(MIFIAL _) LITHUAIA vs TOIA LITHUAIA TOIA TOIA LITHUAIA Vainikonis Levenko Karov aulis Olanski ester Laanemae Tyla Board Contract By M

More information

Some Remarks on Alternating Temporal Epistemic Logic

Some Remarks on Alternating Temporal Epistemic Logic Some Remarks on Alternating Temporal Epistemic Logic Corrected version: July 2003 Wojciech Jamroga Parlevink Group, University of Twente, Netherlands Institute of Mathematics, University of Gdansk, Poland

More information

ECBC Bidding Record MelbBC - Tuesday Evening Duplicate - 07/06/2016 Page:1

ECBC Bidding Record MelbBC - Tuesday Evening Duplicate - 07/06/2016 Page:1 ECBC Bidding Record MelbBC - Tuesday Evening Duplicate - 07/06/2016 Page:1 Hand 1 : (Jack) 4SS makes 8 JK JK 4SS 8 JK JK 1NE 7 Hand 2 : (Jack) 1E makes 7 North(Dlr3) N E S W E S W N North(V12) S: 986 P

More information

(Ed Miller), (David Sklansky), (Mason Malmuth)

(Ed Miller), (David Sklansky), (Mason Malmuth) ,, : (Ed Miller), (David Sklansky), (Mason Malmuth) Two plus Two Publishing 2005 ~ 1 ~ ,, : (Ed Miller), (David Sklansky), (Mason Malmuth) Two plus Two Publishing 2005 ~ 2 ~ 8 9 11... 13 16 18 : 20 21

More information

V o l u m e 5, N u m b e r 5 2, 1 6 P a g e s. Gold B e U ClUt Stamps Double Stamp D a y E v e r y Wednesday

V o l u m e 5, N u m b e r 5 2, 1 6 P a g e s. Gold B e U ClUt Stamps Double Stamp D a y E v e r y Wednesday 1 6 5 J 9 6 " " z k ; k x k k k z z k j " " ( k " " k 8 1959 " " x k j 5 25 ; ; k k qz ; x 13 x k * k ( ) k k : qz 13 k k k j ; q k x ; x 615 26 ( : k z 113 99751 z k k q ; 15 k k k j q " " k j x x ( *»

More information

1 Basic Game Modelling

1 Basic Game Modelling Max-Planck-Institut für Informatik, Winter 2017 Advanced Topic Course Algorithmic Game Theory, Mechanism Design & Computational Economics Lecturer: CHEUNG, Yun Kuen (Marco) Lecture 1: Basic Game Modelling,

More information

ECBC Bidding Record Waverley - Monday Morning Duplicate - 21/09/2015 Page:1

ECBC Bidding Record Waverley - Monday Morning Duplicate - 21/09/2015 Page:1 ECBC Bidding Record Waverley - Monday Morning Duplicate - 21/09/2015 Page:1 Hand 1 : (Jack) 2NTN makes 7 JK JK 2NN 7 JK JK 4CE 10 Hand 2 : (Jack) 4CE makes 10 North(Dlr15) N E S W E S W N North(V5) S:

More information

Independence 1 2 P(H) = 1 4. On the other hand = P(F ) =

Independence 1 2 P(H) = 1 4. On the other hand = P(F ) = Independence Previously we considered the following experiment: A card is drawn at random from a standard deck of cards. Let H be the event that a heart is drawn, let R be the event that a red card is

More information

STRUCTURES WITH MINIMAL TURING DEGREES AND GAMES, A RESEARCH PROPOSAL

STRUCTURES WITH MINIMAL TURING DEGREES AND GAMES, A RESEARCH PROPOSAL STRUCTURES WITH MINIMAL TURING DEGREES AND GAMES, A RESEARCH PROPOSAL ZHENHAO LI 1. Structures whose degree spectrum contain minimal elements/turing degrees 1.1. Background. Richter showed in [Ric81] that

More information

8 th Grade Exam Scoring Format: 3 points per correct response -1 each wrong response 0 for blank answers

8 th Grade Exam Scoring Format: 3 points per correct response -1 each wrong response 0 for blank answers Pellissippi State Middle School Mathematics Competition 8 th Grade Exam Scoring Format: 3 points per correct response -1 each wrong response 0 for blank answers Directions: For each multiple-choice problem

More information

Game Theory, Evolutionary Dynamics, and Multi-Agent Learning. Prof. Nicola Gatti

Game Theory, Evolutionary Dynamics, and Multi-Agent Learning. Prof. Nicola Gatti Game Theory, Evolutionary Dynamics, and Multi-Agent Learning Prof. Nicola Gatti (nicola.gatti@polimi.it) Game theory Game theory: basics Normal form Players Actions Outcomes Utilities Strategies Solutions

More information

ECBC Bidding Record Waverley - Tuesday Evening Duplicate - 06/09/2016

ECBC Bidding Record Waverley - Tuesday Evening Duplicate - 06/09/2016 ECBC Bidding Record Waverley - Tuesday Evening Duplicate - 0/0/201 Page:1 Hand 1 : (Jack) 3NTE makes 0 02 5CE 02 0 3NW Hand 2 : (Jack) 3NTE makes North(Dlr) N E S W E S W N North(V) S: P 1D P 1S 1D P 1H

More information

1 Introduction 2. 4 Q-Learning The Q-value The Temporal Difference The whole Q-Learning process... 5

1 Introduction 2. 4 Q-Learning The Q-value The Temporal Difference The whole Q-Learning process... 5 Table of contents 1 Introduction 2 2 Markov Decision Processes 2 3 Future Cumulative Reward 3 4 Q-Learning 4 4.1 The Q-value.............................................. 4 4.2 The Temporal Difference.......................................

More information

A b r i l l i a n t young chemist, T h u r e Wagelius of N e w Y o r k, ac. himself with eth

A b r i l l i a n t young chemist, T h u r e Wagelius of N e w Y o r k, ac. himself with eth 6 6 0 x J 8 0 J 0 z (0 8 z x x J x 6 000 X j x "" "" " " x " " " x " " " J " " " " " " " " x : 0 z j ; J K 0 J K q 8 K K J x 0 j " " > J x J j z ; j J q J 0 0 8 K J 60 : K 6 x 8 K J :? 0 J J K 0 6% 8 0

More information

Functions - Definitions and first examples and properties

Functions - Definitions and first examples and properties Functions - Definitions and first examples and properties Jean-Luc Bouchot jean-luc.bouchot@drexel.edu February 4, 2013 1 Definition and examples 1.1 Preliminaries What is a function? Besides its mathematical

More information

Hypothesis Registration: Structural Predictions for the 2013 World Schools Debating Championships

Hypothesis Registration: Structural Predictions for the 2013 World Schools Debating Championships Hypothesis Registration: Structural Predictions for the 2013 World Schools Debating Championships Tom Gole * and Simon Quinn January 26, 2013 Abstract This document registers testable predictions about

More information

There Is Therefore Now No Condemnation Romans 8:1-12

There Is Therefore Now No Condemnation Romans 8:1-12 Lesson 314 There Is Therefore Now No Condemnation Romans 8:1-12 MEMORY VERSE ROMAN S 8:1 There is therefore now no c ondem nation to those w ho are in Christ Jesus, who do not walk according to the flesh,

More information

M340(921) Solutions Practice Problems (c) 2013, Philip D Loewen

M340(921) Solutions Practice Problems (c) 2013, Philip D Loewen M340(921) Solutions Practice Problems (c) 2013, Philip D Loewen 1. Consider a zero-sum game between Claude and Rachel in which the following matrix shows Claude s winnings: C 1 C 2 C 3 R 1 4 2 5 R G =

More information

and problem sheet 1

and problem sheet 1 21-128 and 15-151 problem sheet 1 Solutions to the following seven exercises and optional bonus problem are to be submitted through gradescope by 11:30PM on Wednesday 5th September 2018. Problem 1 Suppose

More information

Rutgers Business School, Introduction to Probability, 26:960:575. Homework 1. Prepared by Daniel Pirutinsky. Feburary 1st, 2016

Rutgers Business School, Introduction to Probability, 26:960:575. Homework 1. Prepared by Daniel Pirutinsky. Feburary 1st, 2016 Rutgers usiness School, Introduction to Probability, 6:960:575 Homework Prepared by Daniel Pirutinsky Feburary st, 06 Introduction Suppose we have two boxes, labeled and. Each box contains some amount

More information

petroleum exploration You are an exploration team in charge of a new petroleum province Your task is to get maximum return on investment (ROI)

petroleum exploration You are an exploration team in charge of a new petroleum province Your task is to get maximum return on investment (ROI) Purpose: Enhance your overall understanding of petroleum exploration Multidisciplinary challenge You are an exploration team in charge of a new petroleum province Your task is to get maximum return on

More information

Post-exam 2 practice questions 18.05, Spring 2014

Post-exam 2 practice questions 18.05, Spring 2014 Post-exam 2 practice questions 18.05, Spring 2014 Note: This is a set of practice problems for the material that came after exam 2. In preparing for the final you should use the previous review materials,

More information

Math 152: Applicable Mathematics and Computing

Math 152: Applicable Mathematics and Computing Math 152: Applicable Mathematics and Computing June 5, 2017 June 5, 2017 1 / 19 Announcements Dun s office hours on Thursday are extended, from 12.30 3.30pm (in SDSC East 294). My office hours on Wednesday

More information

AP Physics 1: Algebra-Based

AP Physics 1: Algebra-Based 2017 AP Physics 1: Algebra-Based Sample Student Responses and Scoring Commentary Inside: RR Free Response Question 4 RR Scoring Guideline RR Student Samples RR Scoring Commentary 2017 The College Board.

More information

A Better BCS. Rahul Agrawal, Sonia Bhaskar, Mark Stefanski

A Better BCS. Rahul Agrawal, Sonia Bhaskar, Mark Stefanski 1 Better BCS Rahul grawal, Sonia Bhaskar, Mark Stefanski I INRODUCION Most NC football teams never play each other in a given season, which has made ranking them a long-running and much-debated problem

More information

Vickrey Auction. Mechanism Design. Algorithmic Game Theory. Alexander Skopalik Algorithmic Game Theory 2013 Mechanism Design

Vickrey Auction. Mechanism Design. Algorithmic Game Theory. Alexander Skopalik Algorithmic Game Theory 2013 Mechanism Design Algorithmic Game Theory Vickrey Auction Vickrey-Clarke-Groves Mechanisms Mechanisms with Money Player preferences are quantifiable. Common currency enables utility transfer between players. Preference

More information

A reinforcement learning scheme for a multi-agent card game with Monte Carlo state estimation

A reinforcement learning scheme for a multi-agent card game with Monte Carlo state estimation A reinforcement learning scheme for a multi-agent card game with Monte Carlo state estimation Hajime Fujita and Shin Ishii, Nara Institute of Science and Technology 8916 5 Takayama, Ikoma, 630 0192 JAPAN

More information

ENGR 200 ENGR 200. What did we do last week?

ENGR 200 ENGR 200. What did we do last week? ENGR 200 What did we do last week? Definition of probability xioms of probability Sample space robability laws Conditional probability ENGR 200 Lecture 3: genda. Conditional probability 2. Multiplication

More information

ECE 313: Conflict Final Exam Tuesday, May 13, 2014, 7:00 p.m. 10:00 p.m. Room 241 Everitt Lab

ECE 313: Conflict Final Exam Tuesday, May 13, 2014, 7:00 p.m. 10:00 p.m. Room 241 Everitt Lab University of Illinois Spring 1 ECE 313: Conflict Final Exam Tuesday, May 13, 1, 7: p.m. 1: p.m. Room 1 Everitt Lab 1. [18 points] Consider an experiment in which a fair coin is repeatedly tossed every

More information

In this 3D model, facets appear as semi-transparent to reveal overhangs. Report Details Roof Details Report Contents

In this 3D model, facets appear as semi-transparent to reveal overhangs. Report Details Roof Details Report Contents John Doe Roofing olar Report July 2, 20 3 Main t, Anytown, A 55555 In this 3D model, facets appear as semi-transparent to reveal overhangs. Report Details Roof Details Report Contents Total Area =9094

More information

6 th Grade Math Unit 2 Ratio Relationships pg. 1 Lesson Notes and Resources Available on Teacher s Website. 5.1 Ratios (online textbook pgs.

6 th Grade Math Unit 2 Ratio Relationships pg. 1 Lesson Notes and Resources Available on Teacher s Website. 5.1 Ratios (online textbook pgs. 6 th Grade Math Unit 2 Ratio Relationships pg. 1 5.1 Ratios (online textbook pgs. 190-195) A) Write the ratio for the following situation in three different ways. For every 5 seats, there are 4 fans. C)

More information

6.1 Logic. Statements or Propositions. Negation. The negation of a statement, p, is not p and is denoted by p Truth table: p p

6.1 Logic. Statements or Propositions. Negation. The negation of a statement, p, is not p and is denoted by p Truth table: p p 6.1 Logic Logic is not only the foundation of mathematics, but also is important in numerous fields including law, medicine, and science. Although the study of logic originated in antiquity, it was rebuilt

More information

A generalised minimum variance controller for time-varying systems

A generalised minimum variance controller for time-varying systems University of Wollongong Research Online Faculty of Engineering - Papers (Archive) Faculty of Engineering and Information Sciences 5 A generalised minimum variance controller for time-varying systems Z.

More information

CS 6783 (Applied Algorithms) Lecture 3

CS 6783 (Applied Algorithms) Lecture 3 CS 6783 (Applied Algorithms) Lecture 3 Antonina Kolokolova January 14, 2013 1 Representative problems: brief overview of the course In this lecture we will look at several problems which, although look

More information

Bellringer. Many Parts, Many Purposes. Cell Structure and Function

Bellringer. Many Parts, Many Purposes. Cell Structure and Function Many Parts, Many Purposes A supermarket is divided into many parts. Each part has a specific function. Aisles of shelves hold boxed and canned foods, while freezers and refrigerators store other foods.

More information

WINGS scientific whitepaper, version 0.8

WINGS scientific whitepaper, version 0.8 WINGS scientific whitepaper, version 0.8 Serguei Popov March 11, 2017 Abstract We describe our system, a forecasting method enabling decentralized decision taking via predictions on particular proposals,

More information

PhysicsAndMathsTutor.com. GCE Edexcel GCE. Core Mathematics C2 (6664) January Mark Scheme (Results) Core Mathematics C2 (6664) Edexcel GCE

PhysicsAndMathsTutor.com. GCE Edexcel GCE. Core Mathematics C2 (6664) January Mark Scheme (Results) Core Mathematics C2 (6664) Edexcel GCE GCE Edexcel GCE Core Mathematics C (666) January 006 Mark Scheme (Results) Edexcel GCE Core Mathematics C (666) January 006 666 Core Mathematics C Mark Scheme. (a) +-5 + c = 0 or - + c = 0 c = A () (b)

More information

Software Testing Lecture 2

Software Testing Lecture 2 Software Testing Lecture 2 Justin Pearson September 25, 2014 1 / 1 Test Driven Development Test driven development (TDD) is a way of programming where all your development is driven by tests. Write tests

More information

An Analysis of Forward Pruning. to try to understand why programs have been unable to. pruning more eectively. 1

An Analysis of Forward Pruning. to try to understand why programs have been unable to. pruning more eectively. 1 Proc. AAAI-94, to appear. An Analysis of Forward Pruning Stephen J. J. Smith Dana S. Nau Department of Computer Science Department of Computer Science, and University of Maryland Institute for Systems

More information

Physics 2048 Test 3 Dr. Jeff Saul Spring 2001

Physics 2048 Test 3 Dr. Jeff Saul Spring 2001 Physics 248 Test 3 Dr. Jeff Saul Spring 21 Name: Table: Date: READ THESE INSTRUCTIONS BEFORE YOU BEGIN Before you start the test, WRITE YOUR NAME ON EVERY PAGE OF THE EXAM. Calculators are permitted, but

More information

Level 11 - Tarzan Rides the Merry-Go-Round!

Level 11 - Tarzan Rides the Merry-Go-Round! Group #4 Name: Partner(s): Level 11 - Tarzan Rides the Merry-Go-Round! Side View pivot Top View blue yellow clay ball hot wire green red clay ball The Scenario: Tarzan is being chased (as usual). He must

More information

Dialogical Logic. 1 Introduction. 2.2 Procedural Rules. 2.3 Winning. 2 Organization. 2.1 Particle Rules. 3 Examples. Formula Attack Defense

Dialogical Logic. 1 Introduction. 2.2 Procedural Rules. 2.3 Winning. 2 Organization. 2.1 Particle Rules. 3 Examples. Formula Attack Defense 1 Introduction Dialogical Logic Jesse Alama May 19, 2009 Dialogue games are one of the earliest examples of games in logic. They were introduced by Lorenzen [1] in the 1950s; since then, major players

More information

*Karle Laska s Sections: There is no class tomorrow and Friday! Have a good weekend! Scores will be posted in Compass early Friday morning

*Karle Laska s Sections: There is no class tomorrow and Friday! Have a good weekend! Scores will be posted in Compass early Friday morning STATISTICS 100 EXAM 3 Spring 2016 PRINT NAME (Last name) (First name) *NETID CIRCLE SECTION: Laska MWF L1 Laska Tues/Thurs L2 Robin Tu Write answers in appropriate blanks. When no blanks are provided CIRCLE

More information

ECE 541 Project Report: Modeling the Game of RISK Using Markov Chains

ECE 541 Project Report: Modeling the Game of RISK Using Markov Chains Contents ECE 541 Project Report: Modeling the Game of RISK Using Markov Chains Stochastic Signals and Systems Rutgers University, Fall 2014 Sijie Xiong, RUID: 151004243 Email: sx37@rutgers.edu 1 The Game

More information

Organization Team Team ID#

Organization Team Team ID# 1. [4] A random number generator will always output 7. Sam uses this random number generator once. What is the expected value of the output? 2. [4] Let A, B, C, D, E, F be 6 points on a circle in that

More information

Instructions. Do not open your test until instructed to do so!

Instructions. Do not open your test until instructed to do so! st Annual King s College Math Competition King s College welcomes you to this year s mathematics competition and to our campus. We wish you success in this competition and in your future studies. Instructions

More information

Math 140 Introductory Statistics

Math 140 Introductory Statistics Math 140 Introductory Statistics Extra hours at the tutoring center Fri Dec 3rd 10-4pm, Sat Dec 4 11-2 pm Final Dec 14th 5:30-7:30pm CH 5122 Last time: Making decisions We have a null hypothesis We have

More information

The Frontier of Decidability in Partially Observable Recursive Games

The Frontier of Decidability in Partially Observable Recursive Games The Frontier of Decidability in Partially Observable Recursive Games David Auger, Olivier Teytaud To cite this version: David Auger, Olivier Teytaud. The Frontier of Decidability in Partially Observable

More information

RISKy Business: An In-Depth Look at the Game RISK

RISKy Business: An In-Depth Look at the Game RISK Rose-Hulman Undergraduate Mathematics Journal Volume 3 Issue Article 3 RISKy Business: An In-Depth Look at the Game RISK Sharon Blatt Elon University, slblatt@hotmail.com Follow this and additional works

More information

Welcome. to Physics 2135.

Welcome. to Physics 2135. Welcome to Physics 2135. PHYSICS 2135 Engineering Physics II Dr. S. Thomas Vojta Instructor in charge Office: 204 Physics, Phone: 341-4793 vojtat@mst.edu www.mst.edu/~vojtat Office hours: Mon+ Wed 11am-12pm

More information

What kind of bonus point system makes the rugby teams more offensive?

What kind of bonus point system makes the rugby teams more offensive? What kind of bonus point system makes the rugby teams more offensive? XIV Congreso Dr. Antonio Monteiro - 2017 Motivation Rugby Union is a game in constant evolution Experimental law variations every year

More information

AP PHYSICS 2011 SCORING GUIDELINES (Form B)

AP PHYSICS 2011 SCORING GUIDELINES (Form B) AP PHYSICS 2011 SCORING GUIDELINES (Form B) General Notes About 2011 AP Physics Scoring Guidelines 1. The solutions contain the most common method of solving the free-response questions and the allocation

More information

COS 341: Discrete Mathematics

COS 341: Discrete Mathematics COS 341: Discrete Mathematics Final Exam Fall 2006 Print your name General directions: This exam is due on Monday, January 22 at 4:30pm. Late exams will not be accepted. Exams must be submitted in hard

More information

9 Classification. 9.1 Linear Classifiers

9 Classification. 9.1 Linear Classifiers 9 Classification This topic returns to prediction. Unlike linear regression where we were predicting a numeric value, in this case we are predicting a class: winner or loser, yes or no, rich or poor, positive

More information

1 Overview. 2 Learning from Experts. 2.1 Defining a meaningful benchmark. AM 221: Advanced Optimization Spring 2016

1 Overview. 2 Learning from Experts. 2.1 Defining a meaningful benchmark. AM 221: Advanced Optimization Spring 2016 AM 1: Advanced Optimization Spring 016 Prof. Yaron Singer Lecture 11 March 3rd 1 Overview In this lecture we will introduce the notion of online convex optimization. This is an extremely useful framework

More information

ISM206 Lecture, May 12, 2005 Markov Chain

ISM206 Lecture, May 12, 2005 Markov Chain ISM206 Lecture, May 12, 2005 Markov Chain Instructor: Kevin Ross Scribe: Pritam Roy May 26, 2005 1 Outline of topics for the 10 AM lecture The topics are: Discrete Time Markov Chain Examples Chapman-Kolmogorov

More information

Intermediate Math Circles Winter 2018 More Fun With Inequalities

Intermediate Math Circles Winter 2018 More Fun With Inequalities Intermediate Math Circles Winter 2018 More Fun With Inequalities Michael Miniou The Centre for Education in Mathematics and Computing Faculty of Mathematics University of Waterloo March 28, 2018 Michael

More information

Class XII_All India_Mathematics_Set-2 SECTION C. Question numbers 23 to 29 carry 6 marks each.

Class XII_All India_Mathematics_Set-2 SECTION C. Question numbers 23 to 29 carry 6 marks each. SECTION C Question numbers 3 to 9 carr 6 marks each. 3. Find the equation of the plane passing through the line of intersection of the planes r ˆi 3j ˆ 6 0 r 3i ˆ ˆ j k ˆ 0, whose perpendicular distance

More information

Reinforcement Learning. Up until now we have been

Reinforcement Learning. Up until now we have been Reinforcement Learning Slides by Rich Sutton Mods by Dan Lizotte Refer to Reinforcement Learning: An Introduction by Sutton and Barto Alpaydin Chapter 16 Up until now we have been Supervised Learning Classifying,

More information

AP PHYSICS 2011 SCORING GUIDELINES

AP PHYSICS 2011 SCORING GUIDELINES AP PHYSICS 011 SCORING GUIDELINES General Notes About 011 AP Physics Scoring Guidelines 1. The solutions contain the most common method of solving the free-response questions and the allocation of points

More information

MORE ON CONTINUOUS FUNCTIONS AND SETS

MORE ON CONTINUOUS FUNCTIONS AND SETS Chapter 6 MORE ON CONTINUOUS FUNCTIONS AND SETS This chapter can be considered enrichment material containing also several more advanced topics and may be skipped in its entirety. You can proceed directly

More information

AP PHYSICS C: ELECTRICITY AND MAGNETISM 2010 SCORING GUIDELINES

AP PHYSICS C: ELECTRICITY AND MAGNETISM 2010 SCORING GUIDELINES AP PHYSICS C: ELECTRICITY AND MAGNETISM 010 SCORING GUIDELINES General Notes 1. The solutions contain the most common method of solving the free-response questions and the allocation of points for the

More information

- - - - - - - - - - - - - - - - - - DISCLAIMER - - - - - - - - - - - - - - - - - - General Information: This midterm is a sample midterm. This means: The sample midterm contains problems that are of similar,

More information

Foundations of (Theoretical) Computer Science

Foundations of (Theoretical) Computer Science 91.304 Foundations of (Theoretical) Computer Science Chapter 1 Lecture Notes (Section 1.4: Nonregular Languages) David Martin dm@cs.uml.edu With some modifications by Prof. Karen Daniels, Fall 2014 This

More information

Eton College King's Scholarship Examination 2011

Eton College King's Scholarship Examination 2011 Eton College King's Scholarship Examination 2011 MATHEMATICS A Answer Question 1 and as many of the other five questions as you can. Question 1 is worth 50 marks. All other questions are worth 10 marks

More information

NFC CONFERENCE CHAMPION /// VISITOR AT SUPER BOWL XLIV WON SUPER BOWL XLIV OVER THE INDIANAPOLIS, COLTS 31-17

NFC CONFERENCE CHAMPION /// VISITOR AT SUPER BOWL XLIV WON SUPER BOWL XLIV OVER THE INDIANAPOLIS, COLTS 31-17 X-1 NEW ORLEANS SCORE SHEET (13/3) RECORD POINTS W L T W L T W L T W L T W L T Rush Pass Total Total Pass Rush 19 Sat, Jan. 16 #4 ARIZONA 1 0 0 45 14 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 171 247 418 359 258 101

More information

Expected Value II. 1 The Expected Number of Events that Happen

Expected Value II. 1 The Expected Number of Events that Happen 6.042/18.062J Mathematics for Computer Science December 5, 2006 Tom Leighton and Ronitt Rubinfeld Lecture Notes Expected Value II 1 The Expected Number of Events that Happen Last week we concluded by showing

More information

Math May 13, Final Exam

Math May 13, Final Exam Math 447 - May 13, 2013 - Final Exam Name: Read these instructions carefully: The points assigned are not meant to be a guide to the difficulty of the problems. If the question is multiple choice, there

More information

AP Physics 1: Algebra-Based

AP Physics 1: Algebra-Based 2017 AP Physics 1: Algebra-Based Sample Student Responses and Scoring Commentary Inside: Free Response Question 5 Scoring Guideline Student Samples Scoring Commentary 2017 The College Board. College Board,

More information

To: Amanda From: Daddy Date: 2004 February 19 About: How to solve math problems

To: Amanda From: Daddy Date: 2004 February 19 About: How to solve math problems to Amanda p.1 To: Amanda From: Daddy Date: 2004 February 19 About: How to solve math problems There are 4 steps in solving the kind of math problem you showed me. I'll list the steps first, then explain

More information

Chapter 7. Network Flow. Slides by Kevin Wayne. Copyright 2005 Pearson-Addison Wesley. All rights reserved.

Chapter 7. Network Flow. Slides by Kevin Wayne. Copyright 2005 Pearson-Addison Wesley. All rights reserved. Chapter 7 Network Flow Slides by Kevin Wayne. Copyright 2005 Pearson-Addison Wesley. All rights reserved. 7.5 Bipartite Matching Bipartite Matching Bipartite matching. Input: undirected, bipartite graph

More information

CS261: A Second Course in Algorithms Lecture #12: Applications of Multiplicative Weights to Games and Linear Programs

CS261: A Second Course in Algorithms Lecture #12: Applications of Multiplicative Weights to Games and Linear Programs CS26: A Second Course in Algorithms Lecture #2: Applications of Multiplicative Weights to Games and Linear Programs Tim Roughgarden February, 206 Extensions of the Multiplicative Weights Guarantee Last

More information

Online Appendix to Career Prospects and Effort Incentives: Evidence from Professional Soccer

Online Appendix to Career Prospects and Effort Incentives: Evidence from Professional Soccer Online Appendix to Career Prospects and Effort Incentives: Evidence from Professional Soccer Jeanine Miklós-Thal Hannes Ullrich February 2015 Abstract This Online Appendix contains A the proof of proposition

More information

Sequential Decision Problems

Sequential Decision Problems Sequential Decision Problems Michael A. Goodrich November 10, 2006 If I make changes to these notes after they are posted and if these changes are important (beyond cosmetic), the changes will highlighted

More information

You may hold onto this portion of the test and work on it some more after you have completed the no calculator portion of the test.

You may hold onto this portion of the test and work on it some more after you have completed the no calculator portion of the test. MTH 5 Winter Term 010 Test 1- Calculator Portion Name You may hold onto this portion of the test and work on it some more after you have completed the no calculator portion of the test. 1. Consider the

More information

Adding Integers with Different Signs. ESSENTIAL QUESTION How do you add integers with different signs? COMMON CORE. 7.NS.1, 7.NS.

Adding Integers with Different Signs. ESSENTIAL QUESTION How do you add integers with different signs? COMMON CORE. 7.NS.1, 7.NS. ? LESSON 1.2 Adding Integers with Different Signs ESSENTIAL QUESTION How do you add integers with different signs? 7.NS.1 Apply and extend previous understandings of addition and subtraction to add and

More information

PROBABILITY.

PROBABILITY. PROBABILITY PROBABILITY(Basic Terminology) Random Experiment: If in each trial of an experiment conducted under identical conditions, the outcome is not unique, but may be any one of the possible outcomes,

More information

Chapter 2 Class Notes

Chapter 2 Class Notes Chapter 2 Class Notes Probability can be thought of in many ways, for example as a relative frequency of a long series of trials (e.g. flips of a coin or die) Another approach is to let an expert (such

More information

1 Moral Hazard: Multiple Agents 1.1 Moral Hazard in a Team

1 Moral Hazard: Multiple Agents 1.1 Moral Hazard in a Team 1 Moral Hazard: Multiple Agents 1.1 Moral Hazard in a Team Multiple agents (firm?) Partnership: Q jointly affected Individual q i s. (tournaments) Common shocks, cooperations, collusion, monitor- ing.

More information

A FLOW DIAGRAM FOR CALCULATING LIMITS OF FUNCTIONS (OF SEVERAL VARIABLES).

A FLOW DIAGRAM FOR CALCULATING LIMITS OF FUNCTIONS (OF SEVERAL VARIABLES). A FLOW DIAGRAM FOR CALCULATING LIMITS OF FUNCTIONS (OF SEVERAL VARIABLES). Version 5.5, 2/12/2008 In many ways it is silly to try to describe a sophisticated intellectual activity by a simple and childish

More information

Lecture notes 2: Applications

Lecture notes 2: Applications Lecture notes 2: Applications Vincent Conitzer In this set of notes, we will discuss a number of problems of interest to computer scientists where linear/integer programming can be fruitfully applied.

More information

The ambiguous impact of contracts on competition in the electricity market Yves Smeers

The ambiguous impact of contracts on competition in the electricity market Yves Smeers The ambiguous impact of contracts on competition in the electricity market Yves Smeers joint work with Frederic Murphy Climate Policy and Long Term Decisions-Investment and R&D, Bocconi University, Milan,

More information

Pre-Algebra PoW Packet Anh s Code September 13, 2010

Pre-Algebra PoW Packet Anh s Code September 13, 2010 Pre-Algebra PoW Packet Anh s Code September 13, 2010 http://mathforum.org/pows/ Welcome! Standards The Problem This packet contains a copy of the problem, the answer check, our solutions, teaching suggestions

More information

Problem Set #1 solutions

Problem Set #1 solutions Problem Set # solutions... This number trick involves your favorite three-digit number and your age. Multiply your age by 7. Subtract from the result. Multiply by. Add 8. Multiply by 3. Add your favorite

More information

Symmetric Separating Equilibria in English Auctions 1

Symmetric Separating Equilibria in English Auctions 1 Games and Economic Behavior 38, 19 27 22 doi:116 game21879, available online at http: wwwidealibrarycom on Symmetric Separating Equilibria in English Auctions 1 Sushil Bihchandani 2 Anderson Graduate School

More information

Lecture 4: Misc. Topics and Reinforcement Learning

Lecture 4: Misc. Topics and Reinforcement Learning Approximate Dynamic Programming Lecture 4: Misc. Topics and Reinforcement Learning Mengdi Wang Operations Research and Financial Engineering Princeton University August 1-4, 2015 1/56 Feature Extraction

More information

Solutions to the 74th William Lowell Putnam Mathematical Competition Saturday, December 7, 2013

Solutions to the 74th William Lowell Putnam Mathematical Competition Saturday, December 7, 2013 Solutions to the 74th William Lowell Putnam Mathematical Competition Saturday, December 7, 213 Kiran Kedlaya and Lenny Ng A1 Suppose otherwise. Then each vertex v is a vertex for five faces, all of which

More information

Each trial has only two possible outcomes success and failure. The possible outcomes are exactly the same for each trial.

Each trial has only two possible outcomes success and failure. The possible outcomes are exactly the same for each trial. Section 8.6: Bernoulli Experiments and Binomial Distribution We have already learned how to solve problems such as if a person randomly guesses the answers to 10 multiple choice questions, what is the

More information

1 Modular Arithmetic Grade Level/Prerequisites: Time: Materials: Preparation: Objectives: Navajo Nation Math Circle Connection

1 Modular Arithmetic Grade Level/Prerequisites: Time: Materials: Preparation: Objectives: Navajo Nation Math Circle Connection 1 Modular Arithmetic Students will explore a type of arithmetic that results from arranging numbers in circles instead of on a number line. Students make and prove conjectures about patterns relating to

More information

Exam III #1 Solutions

Exam III #1 Solutions Department of Mathematics University of Notre Dame Math 10120 Finite Math Fall 2017 Name: Instructors: Basit & Migliore Exam III #1 Solutions November 14, 2017 This exam is in two parts on 11 pages and

More information

ECO 199 GAMES OF STRATEGY Spring Term 2004 Precepts Week 7 March Questions GAMES WITH ASYMMETRIC INFORMATION QUESTIONS

ECO 199 GAMES OF STRATEGY Spring Term 2004 Precepts Week 7 March Questions GAMES WITH ASYMMETRIC INFORMATION QUESTIONS ECO 199 GAMES OF STRATEGY Spring Term 2004 Precepts Week 7 March 22-23 Questions GAMES WITH ASYMMETRIC INFORMATION QUESTIONS Question 1: In the final stages of the printing of Games of Strategy, Sue Skeath

More information

Discrete distribution. Fitting probability models to frequency data. Hypotheses for! 2 test. ! 2 Goodness-of-fit test

Discrete distribution. Fitting probability models to frequency data. Hypotheses for! 2 test. ! 2 Goodness-of-fit test Discrete distribution Fitting probability models to frequency data A probability distribution describing a discrete numerical random variable For example,! Number of heads from 10 flips of a coin! Number

More information

Volume vs. Diameter. Teacher Lab Discussion. Overview. Picture, Data Table, and Graph

Volume vs. Diameter. Teacher Lab Discussion. Overview. Picture, Data Table, and Graph 5 6 7 Middle olume Length/olume vs. Diameter, Investigation page 1 of olume vs. Diameter Teacher Lab Discussion Overview Figure 1 In this experiment we investigate the relationship between the diameter

More information