Mathematical Programming

Mathematical Programming
Author: Michel Minoux
Publisher: John Wiley & Sons
Total Pages: 526
Release: 1986
Genre: Mathematics
ISBN:

This comprehensive work covers the whole field of mathematical programming, including linear programming, unconstrained and constrained nonlinear programming, nondifferentiable (or nonsmooth) optimization, integer programming, large scale systems optimization, dynamic programming, and optimization in infinite dimensions. Special emphasis is placed on unifying concepts such as point-to-set maps, saddle points and perturbations functions, duality theory and its extensions.

Mathematical Computing

Mathematical Computing
Author: David Betounes
Publisher: Springer Science & Business Media
Total Pages: 419
Release: 2012-12-06
Genre: Computers
ISBN: 1461300673

This book teaches introductory computer programming using Maple, offering more mathematically oriented exercises and problems than those found in traditional programming courses, while reinforcing and applying concepts and techniques of calculus. Includes case studies.

Mathematical and Computer Programming Techniques for Computer Graphics

Mathematical and Computer Programming Techniques for Computer Graphics
Author: Peter Comninos
Publisher: Springer Science & Business Media
Total Pages: 556
Release: 2010-04-06
Genre: Computers
ISBN: 1846282926

Provides a comprehensive and detailed coverage of the fundamentals of programming techniques for computer graphics Uses lots of code examples, encouraging the reader to explore and experiment with data and computer programs (in the C programming language)

Mathematical Programming for Operations Researchers and Computer Scientists

Mathematical Programming for Operations Researchers and Computer Scientists
Author: Holzman
Publisher: CRC Press
Total Pages: 398
Release: 1981-06-01
Genre: Computers
ISBN: 9780824714994

This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.

Mathematical Programming

Mathematical Programming
Author: Steven Vajda
Publisher: Courier Corporation
Total Pages: 322
Release: 2009-01-01
Genre: Mathematics
ISBN: 0486472132

This classic by a well-known expert explores both theory and applications. It focuses on linear programming, in addition to other programming topics, and features numerous worked-out examples and problems. 1961 edition.

Scientific Programming

Scientific Programming
Author: Jorge Alberto Calvo
Publisher: Cambridge Scholars Publishing
Total Pages: 562
Release: 2018-12-19
Genre: Computers
ISBN: 1527523845

This book offers an introduction to computer programming, numerical analysis, and other mathematical ideas that extend the basic topics learned in calculus. It illustrates how mathematicians and scientists write computer programs, covering the general building blocks of programming languages and a description of how these concepts fit together to allow computers to produce the results they do. Topics explored here include binary arithmetic, algorithms for rendering graphics, the smooth interpolation of discrete data, and the numerical approximation of non-elementary integrals. The book uses an open-source computer algebra system called Maxima. Using Maxima, first-time programmers can perform familiar tasks, such as graphing functions or solving equations, and learn the basic structures of programming before moving on to other popular programming languages. The epilogue provides some simple examples of how this process works in practice. The book will particularly appeal to students who have finished their calculus sequence.

Types and Programming Languages

Types and Programming Languages
Author: Benjamin C. Pierce
Publisher: MIT Press
Total Pages: 656
Release: 2002-01-04
Genre: Computers
ISBN: 9780262162098

A comprehensive introduction to type systems and programming languages. A type system is a syntactic method for automatically checking the absence of certain erroneous behaviors by classifying program phrases according to the kinds of values they compute. The study of type systems—and of programming languages from a type-theoretic perspective—has important applications in software engineering, language design, high-performance compilers, and security. This text provides a comprehensive introduction both to type systems in computer science and to the basic theory of programming languages. The approach is pragmatic and operational; each new concept is motivated by programming examples and the more theoretical sections are driven by the needs of implementations. Each chapter is accompanied by numerous exercises and solutions, as well as a running implementation, available via the Web. Dependencies between chapters are explicitly identified, allowing readers to choose a variety of paths through the material. The core topics include the untyped lambda-calculus, simple type systems, type reconstruction, universal and existential polymorphism, subtyping, bounded quantification, recursive types, kinds, and type operators. Extended case studies develop a variety of approaches to modeling the features of object-oriented languages.

Recent Developments in Mathematical Programming

Recent Developments in Mathematical Programming
Author: Santosh Kumar
Publisher: CRC Press
Total Pages: 470
Release: 2022-01-27
Genre: Mathematics
ISBN: 1000657620

This work is concerned with theoretical developments in the area of mathematical programming, development of new algorithms and software and their applications in science and industry. It aims to expose recent mathematical developments to a larger audience in science and industry.

Algorithmic Principles of Mathematical Programming

Algorithmic Principles of Mathematical Programming
Author: Ulrich Faigle
Publisher: Springer Science & Business Media
Total Pages: 360
Release: 2002-08-31
Genre: Computers
ISBN: 9781402008528

Algorithmic Principles of Mathematical Programming investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Recent advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. This book offers a comprehensive introduction to the whole subject and leads the reader to the frontiers of current research. The prerequisites to use the book are very elementary. All the tools from numerical linear algebra and calculus are fully reviewed and developed. Rather than attempting to be encyclopedic, the book illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature. The book is equally suited for self-study for a motivated beginner and for a comprehensive course on the principles of mathematical programming within an applied mathematics or computer science curriculum at advanced undergraduate or graduate level. The presentation of the material is such that smaller modules on discrete optimization, linear programming, and nonlinear optimization can easily be extracted separately and used for shorter specialized courses on these subjects.