Semi-Infinite Programming, Miguel ?ngel Goberna; Marco A. L?pez

Автор: Langtangen Hans Petter
Название: A Primer on Scientific Programming with Python
ISBN: 3662498863 ISBN-13(EAN): 9783662498866
Издательство: Springer
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Цена: 4890.00 р. 6986.00 -30%
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Описание: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches 'Matlab-style' and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.Alex Small, IEEE, CiSE Vol. 14 (2), March?/April 2012 “This fourth edition is awonderful, inclusive textbook that covers pretty much everything one needs toknow to go from zero to fairly sophisticated scientific programming in Python…”Joan Horvath, Computing Reviews, March2015

Автор: Eric V. Denardo
Название: Linear Programming and Generalizations
ISBN: 1489977716 ISBN-13(EAN): 9781489977717
Издательство: Springer
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Цена: 10475.00 р.
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Описание: Written by a leading expert in Mathematical Programming methods, this book introduces students to the conceptual ideas of Linear Programming methodology and its generalizations. The book has a distinct application focus with emphasis on application problems.

Автор: Hu, T. C. Kahng, Andrew B.
Название: Linear and integer programming made easy
ISBN: 3319239996 ISBN-13(EAN): 9783319239996
Издательство: Springer
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Цена: 7836.00 р.
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Описание: This textbook provides concise coverage of the basics of linear and integer programming which, with megatrends toward optimization, machine learning, big data, etc., are becoming fundamental toolkits for data and information science and technology.

Автор: Giuseppe Lancia; Paolo Serafini
Название: Compact Extended Linear Programming Models
ISBN: 3319639757 ISBN-13(EAN): 9783319639758
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book provides a handy, unified introduction to the theory of compact extended formulations of exponential-size integer linear programming (ILP) models.

Название: Linear and Nonlinear Programming
ISBN: 3319374397 ISBN-13(EAN): 9783319374390
Издательство: Springer
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Цена: 12577.00 р.
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Описание: It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities.New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming.

Автор: Ram U. Verma
Название: Semi-Infinite Fractional Programming
ISBN: 9811062552 ISBN-13(EAN): 9789811062551
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Higher Order Parametric Optimality Conditions.- Parametric Duality Models.- New Generation Parametric Optimality.- Accelerated Roles for Parametric Optimality.- Semiinfinite Multiobjective Fractional Programming I.- Semiinfinite Multiobjective Fractional Programming II.- Semiinfinite Multiobjective Fractional Programming III.- Hanson-Antczak-type V-invexity I.- Hanson-Antczak-type V-invexity II.- Parameter Optimality in Semiinfinite Fractional Programs.- Semiinfinite Discrete Minmax Fractional Programs.- Next Generation Semiinfinite Discrete Fractional Programs.- Hanson-Antczak-type Sonvexity III.- Semiinfinite Multiobjective Optimization.

Автор: Rembert Reemtsen; Jan-J. R?ckmann
Название: Semi-Infinite Programming
ISBN: 1441947957 ISBN-13(EAN): 9781441947956
Издательство: Springer
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Цена: 27245.00 р.
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Описание: Semi-infinite programming (briefly: SIP) is an exciting part of mathematical programming. The theory in SIP as well as the number of numerical SIP methods and appli- cations have expanded very fast during the last years.

Автор: Henggeler Antunes, Carlos Joao Alves, Maria Climaco, Joao
Название: Multiobjective linear and integer programming
ISBN: 3319287443 ISBN-13(EAN): 9783319287447
Издательство: Springer
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Цена: 10760.00 р.
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Описание: Introducing multiobjective optimization for students in engineering, management, economics and applied mathematics, this book focuses on multiobjective linear programming and multiobjective integer/mixed integer programming. It is accompanied by an interactive software package which enables students to experiment and enhance their technical skills.

Автор: Rembert Reemtsen; Jan-J. R?ckmann
Название: Semi-Infinite Programming
ISBN: 0792350545 ISBN-13(EAN): 9780792350545
Издательство: Springer
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Цена: 27245.00 р.
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Описание: Offers a collection of tutorial and survey articles on semi-infinite programming. This book includes an analysis of sensitivity and stability properties and a discussion of parameter-dependent problems. It includes a comprehensive survey of methods and a discussion of connections with semi-definite programming.