Computers And Mathematical Programming
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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.
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.
Author | : William Wallace White |
Publisher | : |
Total Pages | : 388 |
Release | : 1978 |
Genre | : Computers |
ISBN | : |
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.
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.
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.
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.
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.
Author | : Richard P. Paul |
Publisher | : Richard Paul |
Total Pages | : 298 |
Release | : 1981 |
Genre | : Computers |
ISBN | : 9780262160827 |
Homogeneous transformations; Kinematic equations; Solving kinematic equations; Differential relationships; Motion trajectories; Dynamics; Control; Static forces; Compliance; Programming.
Author | : Eric Lehman |
Publisher | : |
Total Pages | : 988 |
Release | : 2017-03-08 |
Genre | : Business & Economics |
ISBN | : 9789888407064 |
This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.