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Einführung in die Mathematik der Operationsforschung mit Mathematica von Kevin-
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eBay-Artikelnr.:182418767241
Artikelmerkmale
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- Neuwertig
- Hinweise des Verkäufers
- EAN
- 9781574446128
- UPC
- 9781574446128
- ISBN
- 9781574446128
- Brand
- Taylor & Francis Ltd
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Über dieses Produkt
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1574446126
ISBN-13
9781574446128
eBay Product ID (ePID)
50792708
Product Key Features
Number of Pages
592 Pages
Language
English
Publication Name
Introduction to the Mathematics of Operations Research with Mathematica®
Publication Year
2006
Subject
Probability & Statistics / General, Operations Research, General
Type
Textbook
Subject Area
Mathematics, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.5 in
Item Weight
34.5 Oz
Item Length
9.2 in
Item Width
6.3 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2005-056055
Illustrated
Yes
Dewey Decimal
658.40340151 22
Table Of Content
Graph Theory and Network Analysis. Linear Programming. Further Topics in Linear Programming. Markov Chains. Continuous Time Processes. Dynamic Programming.
Edition Description
Revised edition,New Edition
Synopsis
The breadth of information about operations research and the overwhelming size of previous sources on the subject make it a difficult topic for non-specialists to grasp. Fortunately, Introduction to the Mathematics of Operations Research with Mathematica(R), Second Edition delivers a concise analysis that benefits professionals in operations research and related fields in statistics, management, applied mathematics, and finance. The second edition retains the character of the earlier version, while incorporating developments in the sphere of operations research, technology, and mathematics pedagogy. Covering the topics crucial to applied mathematics, it examines graph theory, linear programming, stochastic processes, and dynamic programming. This self-contained text includes an accompanying electronic version and a package of useful commands. The electronic version is in the form of Mathematica notebooks, enabling you to devise, edit, and execute/reexecute commands, increasing your level of comprehension and problem-solving. Mathematica sharpens the impact of this book by allowing you to conveniently carry out graph algorithms, experiment with large powers of adjacency matrices in order to check the path counting theorem and Markov chains, construct feasible regions of linear programming problems, and use the "dictionary" method to solve these problems. You can also create simulators for Markov chains, Poisson processes, and Brownian motions in Mathematica, increasing your understanding of the defining conditions of these processes. Among many other benefits, Mathematica also promotes recursive solutions for problems related to first passage times and absorption probabilities., Revised and updated to reflect recent advances, Introduction to the Mathematics of Operations Research with Mathematica®, Second Edition focuses on the topics of graph theory, linear programming, stochastic processes, and dynamic programming. Integrating technology into the development, this second edition features a CD-ROM with Mathematica, the program used throughout the text. It also offers new material in areas such as simulation, Brownian motion, and famous graph theory problems such as the traveling salesman problem. Further enhancing the interactive approach of the book, the author emphasizes problem solving with longer investigations, self-check questions, problem sets, and an appendix of solutions for selected problems., The breadth of information about operations research and the overwhelming size of previous sources on the subject make it a difficult topic for non-specialists to grasp. Fortunately, Introduction to the Mathematics of Operations Research with Mathematica®, Second Edition delivers a concise analysis that benefits professionals in operations research and related fields in statistics, management, applied mathematics, and finance. The second edition retains the character of the earlier version, while incorporating developments in the sphere of operations research, technology, and mathematics pedagogy. Covering the topics crucial to applied mathematics, it examines graph theory, linear programming, stochastic processes, and dynamic programming. This self-contained text includes an accompanying electronic version and a package of useful commands. The electronic version is in the form of Mathematica notebooks, enabling you to devise, edit, and execute/reexecute commands, increasing your level of comprehension and problem-solving. Mathematica sharpens the impact of this book by allowing you to conveniently carry out graph algorithms, experiment with large powers of adjacency matrices in order to check the path counting theorem and Markov chains, construct feasible regions of linear programming problems, and use the "dictionary" method to solve these problems. You can also create simulators for Markov chains, Poisson processes, and Brownian motions in Mathematica, increasing your understanding of the defining conditions of these processes. Among many other benefits, Mathematica also promotes recursive solutions for problems related to first passage times and absorption probabilities.
LC Classification Number
T57.6.H385 2006
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