Operations research : (Record no. 485)
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000 -LEADER | |
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fixed length control field | 07276cam a22002294a 4500 |
001 - CONTROL NUMBER | |
control field | 1698 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200701120700.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 060929s2007 njua b 001 0 eng |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9788131711040 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | PK |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 658.4/034 |
Edition number | 22 |
Item number | T1286 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Taha, Hamdy A. |
245 10 - TITLE STATEMENT | |
Title | Operations research : |
Remainder of title | an introduction / |
Statement of responsibility, etc | Hamdy A. Taha. |
250 ## - EDITION STATEMENT | |
Edition statement | 8th ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc | New Delhi : |
Name of publisher, distributor, etc | Pearson/Prentice Hall, |
Date of publication, distribution, etc | 2009 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xxii, 775 p. |
Other physical details | ill. ; |
Dimensions | 25 cm. + |
Accompanying material | 1 CD-ROM (4 3/4 in.) |
500 ## - GENERAL NOTE | |
General note | Includes bibliographical references and index. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Operations research. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Programming (Mathematics) |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Books |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Chapter 1: what is operations research?<br/>1.1 operations research models<br/>1.2 solving the or model<br/>1.3 queueing and simulation models<br/>1.4 art of modeling<br/>1.5 more than just mathematics<br/>1.6 phases of an or study<br/>1.7 about this book problems references chapter 2: modeling with linear programming<br/>2.1 two-variable lp mode<br/>L2.2 graphical lp solution<br/>2.3 selected lp applications<br/>2.4 computer solution with solver and ampl problems references chapter 3: the simplex method and sensitivity analysis<br/>3.1 lp model in equation form<br/>3.2 transition from graphical to algebraic solution<br/>3.3 the simplex method<br/>3.4 artificial starting solution<br/>3.5 special cases in the simplex method <br/>3.6 sensitivity analysis problems references <br/>Chapter 4: duality and post-optimal analysis<br/>4.1 definition of the dual problem<br/>4.2 primal-dual relationships<br/>4.3 economic interpretation of duality<br/>4.4 additional simplex algorithms <br/>4.5 post-optimal analysis problems references <br/>Chapter 5: transportation model and its variants<br/>5.1 definition of the transportation model<br/>5.2 nontraditional transportation models<br/>5.3 the transportation algorithm<br/>5.4 the assignment model<br/>5.5 the transshipment model problems references <br/>Chapter 6: network models<br/>6.1 scope and definition of network models<br/>6.2 minimal spanning tree algorithm<br/>6.3 shortest-route problem<br/>6.4 maximal flow model<br/>6.5 cpm and pert problems references <br/>Chapter 7: advanced linear programming<br/>7.1 simplex method fundamentals <br/>7.2 revised simplex method<br/>7.3 bounded variables algorithm<br/>7.4 duality<br/>7.5 parametric linear programming problems references <br/>Chapter 8: goal programming<br/>8.1 a goal programming formulation<br/>8.2 goal programming algorithms problems references<br/>Chapter 9: integer linear programming<br/>9.1 illustrative applications<br/>9.2 integer programming algorithms<br/>9.3 traveling salesperson (tsp) problem problems references <br/>Chapter 10: deterministic dynamic programming<br/>10.1 recursive nature of computations in dp<br/>10.2 forward and backward recursion<br/>10.3 selected dp applications<br/>10.4 problem of dimensionality problems references <br/>Chapter 11: deterministic inventory models<br/>11.1 general inventory model<br/>11.2 role of demand in the development of inventory models<br/>11.3 static economic-order-quantity (eoq) models<br/>11.4 dynamic eoq models problems references <br/>Chapter 12: review of basic probability<br/>12.1 laws of probability<br/>12.2 random variables and probability distributions<br/>12.3 expectation of a random variable <br/>12.4 four common probability distributions<br/>12.5 empirical distributions problems references <br/>Chapter 13: decision analysis and games<br/>13.1 decision making under certainty-analytic hierarchy process (ahp)<br/>13.2 decision making under risk<br/>13.3 decision under uncertainty<br/>13.4 game theory problems references <br/>Chapter 14: probabilistic inventory models<br/>14.1 continuous review models<br/>4.2 single-period models<br/>14.3 multiperiod model problems references <br/>Chapter 15:queueing systems<br/>15.1 why study queues?<br/>15.2 elements of a queuing model<br/>15.3 role of exponential distribution<br/>15.4 pure birth and death models (relationship between the exponential and poisson distributions)<br/>15.5 generalized poisson queuing model<br/>15.6 specialized poisson queues<br/>15.7 (m/g/1):(gd/inf/inf)-pollaczek-khintchine (p-k) formula<br/>15.8 other queuing models<br/>15.9 queueing decision models problems references <br/>Chapter 16: simulation modeling<br/>16.1 monte carlo simulation<br/>16.2 types of simulation<br/>16.3 elements of discrete-event simulation<br/>16.4 generation of random numbers<br/>16.5 mechanics of discrete simulation<br/>16.6 methods for gathering statistical observations<br/>16.7 simulation languages problems references <br/>Chapter 17: markov chains<br/>17.1 definition of a markov chain<br/>17.2 absolute and n-step transition probabilities<br/>17.3 classification of the states in a markov chain<br/>17.4steady-state probabilities and mean return times of ergodic chains<br/>17.5 first passage time<br/>17.6 analysis of absorbing states problems references <br/>Chapter 18: classical optimization theory<br/>18.1 unconstrained problems<br/>18.2 constrained problems problems references <br/>Chapter 19: nonlinear programming algorithms<br/>19.1 unconstrained algorithms<br/>19.2 constrained algorithms problems references appendix a: ampl modeling languagea.<br/>1 rudimentary ampl modela.<br/>2 components of ampl modela.<br/>3 mathematical expressions and computed parametersa.<br/>4 subsets and indexed setsa.<br/>5 accessing external filesa.<br/>6 interactive commandsa.<br/>7 iterative and conditional execution of ampl commadsa.<br/>8 sensitivity analysis using ampl reference appendix b: statistical tables <br/>Appendix c: partial answers to selected problems index on the cd <br/>Chapter 20: additional network and lp algorithms<br/>20.1 minimim-cost capacitated flow problem<br/>20.2 decomposition algorithm<br/>20.3 karmarkar interior-point method problems references <br/>Chapter 21: forecasting models<br/>21.1 moving average technique<br/>21.2 exponential smoothing<br/>21.3 maximization of the event of achieving a goal problems references <br/>Chapter 22: probabilistic dynamic programming<br/>22.1 a game of chance<br/>22.2 investment problem<br/>22.3 maximization of the event of achieving a goal problems references <br/>Chapter 23: markovian decision process<br/>23.1 scope of the markovian decision problem<br/>23.2 finite-stage dynamic programming model<br/>23.3 infinite-stage model<br/>23.4 linear programming solution problems references <br/>Chapter 24: case analysiscase 1: airline fuel allocation using optimum tinkering<br/>Case 2: optimization of heart valves production<br/>Case 3: scheduling appointments at australian tourist commission trade events<br/>Case 4: saving federal travel dollars<br/>Case 5: optimal ship routing and personnel assignments for naval recruitment in Thailand<br/>Case 6: allocation of operating room time in mount sinai hospital<br/>Case 7: optimizing trailer payloads at pfg building glass<br/>Case 8: optimization of crosscutting and log allocation at Weyerhaeuser<br/>Case 9: layout planning of a computer integrated manufacturing (cim) facility<br/>Case 10: booking limits in hotel reservations<br/>Case 11: casey's problem: interpreting and evaluating a new test<br/>Case 12: ordering golfers on the final day of ryder cup matches<br/>Case 13: inventory decisions in dell's supply chain<br/>Case 14: analysis of an internal transport system in a manufacturing plant<br/>Case 15: telephone sales manpower planning at qantas airways <br/>Appendix d: review of vectors and matricesd.<br/>1 vectorsd.<br/>2 matricesd.<br/>3 quadratic formsd.<br/>4 convex and concave functions problems references <br/>Appendix e: case studies<br/><br/> |
Withdrawn status | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
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UE-Central Library | UE-Central Library | 06.06.2018 | U.E. | 658.4034 T1286 | T1698 | 06.06.2018 | 06.06.2018 | Books |