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Discrete Analysis and Operations Research

Discrete Analysis and Operations Research
Author: Alekseii D. Korshunov
Publisher: Springer Science & Business Media
Total Pages: 343
Release: 2013-03-07
Genre: Mathematics
ISBN: 940091606X

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The contributions to this volume have all been translated from the first volume of the Russian journal Discrete Analysis and Operational Research, published at the Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia, in 1994. The papers collected here give an excellent overview of recent Russian research in topics such as analysis of algorithms, combinatorics, graphs, lower bounds for complexity of Boolean functions, packing and coverings, scheduling theory, search and sorting, linear programming, and testing. Audience: This book will be of interest to specialists in discrete mathematics and computer science, and engineers.


Operations Research and Discrete Analysis

Operations Research and Discrete Analysis
Author: Alekseii D. Korshunov
Publisher: Springer Science & Business Media
Total Pages: 332
Release: 2012-12-06
Genre: Mathematics
ISBN: 9401156786

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The contributions to this volume have all been translated from the second volume of the Russian journal Discrete Analysis and Operational Research, published at the Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia, in 1995. The papers collected here give an excellent overview of recent Russian research in such topics as analysis of algorithms, combinatorics, coding theory, graphs, lower bounds for complexity of Boolean functions and scheduling theory, and can be seen as an update of the book Discrete Analysis and Operational Research, published by Kluwer in 1996. Audience: This book will be of interest to specialists in discrete mathematics and computer science, and engineers.


Operations Research and Discrete Analysis

Operations Research and Discrete Analysis
Author: Alekseii D. Korshunov
Publisher: Springer
Total Pages: 336
Release: 2012-10-11
Genre: Mathematics
ISBN: 9789401063951

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This book contains translations of papers from the second volume of the new Russian-language journal published at the Sobolev Institute of Mathematics (Sibe rian Branch of the Russian Academy of Sciences, Novosibirsk) since 1994. In 1994 the journal was titled Sibirskil Zhurnal Issledovaniya Oper atsil. Since 1995 this journal has the title Diskretny'l Analiz i Issledovanie Operatsi'l (Discrete Analysis and Operations Research). The aim of this journal is to bring together research papers in different areas of discrete mathematics and computer science. The journal DiskretnYl Analiz i Issledovanie Operatsil covers the following fields: • discrete optimization • synthesis and complexity • discrete structures and • of control systems extremal problems • automata • combinatorics • graphs • control and reliability • game theory and its of discrete devices applications • mathematical models and • coding theory methods of decision making • scheduling theory • design and analysis • functional systems theory of algorithms Contributions presented to the journal can be original research papers and occasional survey articles of moderate length. The journal is published in one volume of four issues per year that appear in March, June, September, and December. Each volume contains approximately 400 pages. I express my sincere gratitude to Professor S. S. Kutateladze for his help in editing the English translation.


Handbook on Modelling for Discrete Optimization

Handbook on Modelling for Discrete Optimization
Author: Gautam M. Appa
Publisher: Springer Science & Business Media
Total Pages: 443
Release: 2006-08-18
Genre: Mathematics
ISBN: 0387329420

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This book aims to demonstrate and detail the pervasive nature of Discrete Optimization. The handbook couples the difficult, critical-thinking aspects of mathematical modeling with the hot area of discrete optimization. It is done with an academic treatment outlining the state-of-the-art for researchers across the domains of the Computer Science, Math Programming, Applied Mathematics, Engineering, and Operations Research. The book utilizes the tools of mathematical modeling, optimization, and integer programming to solve a broad range of modern problems.


Discrete-Event Simulation

Discrete-Event Simulation
Author: George S. Fishman
Publisher: Springer Science & Business Media
Total Pages: 554
Release: 2013-03-09
Genre: Computers
ISBN: 1475735529

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"This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming, output analysis, pseudo-random number generation and modelling and these sections are quite thorough. Methods are provided for generating pseudo-random numbers (including combining such streams) and for generating random numbers from most standard statistical distributions." --ISI Short Book Reviews, 22:2, August 2002


Modern Discrete Mathematics and Analysis

Modern Discrete Mathematics and Analysis
Author: Nicholas J. Daras
Publisher: Springer
Total Pages: 516
Release: 2018-07-05
Genre: Mathematics
ISBN: 3319743252

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A variety of modern research in analysis and discrete mathematics is provided in this book along with applications in cryptographic methods and information security, in order to explore new techniques, methods, and problems for further investigation. Distinguished researchers and scientists in analysis and discrete mathematics present their research. Graduate students, scientists and engineers, interested in a broad spectrum of current theories, methods, and applications in interdisciplinary fields will find this book invaluable.


Discrete Data Analysis with R

Discrete Data Analysis with R
Author: Michael Friendly
Publisher: CRC Press
Total Pages: 700
Release: 2015-12-16
Genre: Mathematics
ISBN: 1498725864

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An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical meth


Operations Research: Introduction To Models And Methods

Operations Research: Introduction To Models And Methods
Author: Richard Johannes Boucherie
Publisher: World Scientific
Total Pages: 512
Release: 2021-10-26
Genre: Mathematics
ISBN: 9811239363

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This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.Each chapter contains numerous exercises, and a large selection of exercises includes solutions.


Discrete Choice Analysis

Discrete Choice Analysis
Author: Moshe Ben-Akiva
Publisher: MIT Press
Total Pages: 414
Release: 2018-04-20
Genre: Architecture
ISBN: 0262536404

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Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The methods of discrete choice analysis and their applications in the modelling of transportation systems constitute a comparatively new field that has largely evolved over the past 15 years. Since its inception, however, the field has developed rapidly, and this is the first text and reference work to cover the material systematically, bringing together the scattered and often inaccessible results for graduate students and professionals. Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The introductory chapter presents the background of discrete choice analysis and context of transportation demand forecasting. Subsequent chapters cover, among other topics, the theories of individual choice behavior, binary and multinomial choice models, aggregate forecasting techniques, estimation methods, tests used in the process of model development, sampling theory, the nested-logit model, and systems of models. Discrete Choice Analysis is ninth in the MIT Press Series in Transportation Studies, edited by Marvin Manheim.