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Matrices and Simplex Algorithms

Matrices and Simplex Algorithms
Author: Aaart R. Heesterman
Publisher: Springer
Total Pages: 816
Release: 1983
Genre: Business & Economics
ISBN:

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This book provides an introduction to the theory and application of a range of mathematical programming algorithms, a nd to the prerequisite fields of linear algebra and the graphical presentation of a number of rational functions. The algorithms offered cover matrix inversion, linear programming, quadratic programming with linear side-conditions, quadratic programming with quadratic side-conditions, and integer programming. The resolution of mixed systems of equations and inequalities; systems with sign-constrained and free variables; and the accommodation of upper and lower limbs in specified variables without explicitly written restrictions are discussed, for linear programming, as well as for quadratic programming with linear side-conditions. Of the algorithms provided, the sequentially constrained maximization method for solving the general quantitive programming problem is, in part, novel. The other algorithms are, in outline, established methods. There is however, a more direct approach to the problem of the infeasible starting solution and, as a result, a less rigid separation between the traditional I and II than is usual.


Matrices and Simplex Algorithms

Matrices and Simplex Algorithms
Author: Art R. Heesterman
Publisher: Springer
Total Pages: 766
Release: 2011-12-14
Genre: Computers
ISBN: 9789400979420

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This is a textbook devoted to mathematical programming algorithms and the mathematics needed to understand such algorithms. It was mainly written for economists, but the mathematics itself obviously has relevance for other disciplines. It is a textbook as well a~ in parts, a contribution to new knowledge. There is, accordingly, a broad ordering of climbing sophistication, the earlier chapters being purely for the student, the later chapters being more specialist and containing some element of novelty on certain points. The book is edited in five parts. Part I deals with elementary matrix operations, matrix inversion, determinants, etc. Part II is mainly devoted to linear programming. As far as students' readability is concerned, these two parts are elementary undergraduate material. However, I would claim, in particular with respect to linear programming, that I do things more efficiently than the standard textbook approach has it. This refers mainly to the search for a feasible solution i.e. Chapter 9, and to upper and lower limits, i.e. Chapter 10. I have also argued that the standard textbook treatment of degeneracy misses a relevant problem, namely that of accuracy. In short, I would invite anyone who has the task of writing or designing an LP-code, to first acquaint himself with my ideas. viii INTRODUCTION Parts III and IV are concerned with nonlinear programming.


The Simplex Method of Linear Programming

The Simplex Method of Linear Programming
Author: F.A. Ficken
Publisher: Courier Dover Publications
Total Pages: 68
Release: 2015-06-17
Genre: Mathematics
ISBN: 048679685X

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Originally published: New York: Holt, Rinehart and Winston, 1961.


Linear Optimization

Linear Optimization
Author: Glenn Hurlbert
Publisher: Springer Science & Business Media
Total Pages: 279
Release: 2009-11-09
Genre: Mathematics
ISBN: 0387791485

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The Subject A little explanation is in order for our choice of the title Linear Opti- 1 mization (and corresponding terminology) for what has traditionally been called Linear Programming.Theword programming in this context can be confusing and/or misleading to students. Linear programming problems are referred to as optimization problems but the general term linear p- gramming remains. This can cause people unfamiliar with the subject to think that it is about programming in the sense of writing computer code. It isn’t. This workbook is about the beautiful mathematics underlying the ideas of optimizing linear functions subject to linear constraints and the algorithms to solve such problems. In particular, much of what we d- cuss is the mathematics of Simplex Algorithm for solving such problems, developed by George Dantzig in the late 1940s. The word program in linear programming is a historical artifact. When Dantzig ?rstdevelopedthe Simplex Algorithm to solvewhat arenowcalled linear programming problems, his initial model was a class of resource - location problems to be solved for the U.S. Air Force. The decisions about theallocationswerecalled‘Programs’bytheAirForce,andhencetheterm.


Linear Programming

Linear Programming
Author: Narendra Paul Loomba
Publisher:
Total Pages: 312
Release: 1964
Genre: Industrial management
ISBN:

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Linear programming and management; The graphical method; Systematic trial-and-error method; Matrices and vectors; The vector method; The simplex method; The dual; Degeneracy; The transportation model; The assignment model; The meaning of linearity.


Fast Reliable Algorithms for Matrices with Structure

Fast Reliable Algorithms for Matrices with Structure
Author: T. Kailath
Publisher: SIAM
Total Pages: 351
Release: 1999-01-01
Genre: Computers
ISBN: 9781611971354

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This book is the first to pay special attention to the combined issues of speed and numerical reliability in algorithm development. These two requirements have often been regarded as competitive, so much so that the design of fast and numerically reliable algorithms for large-scale structured systems of linear equations, in many cases, remains a significant open issue. Fast Reliable Algorithms for Matrices with Structure helps bridge this gap by providing the reader with recent contributions written by leading experts in the field. The authors deal with both the theory and the practice of fast numerical algorithms for large-scale structured linear systems. Each chapter covers in detail different aspects of the most recent trends in the theory of fast algorithms, with emphasis on implementation and application issues. Both direct and iterative methods are covered. This book is not merely a collection of articles. The editors have gone to considerable lengths to blend the individual papers into a consistent presentation. Each chapter exposes the reader to some of the most recent research while providing enough background material to put the work into proper context.