Elementary Matrix Algebra with Linear Programming PDF Download
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Author: Richard J. Painter
Publisher:
ISBN:
Category : Linear programming
Languages : en
Pages : 392
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Book Description
Author: Richard J. Painter
Publisher:
ISBN:
Category : Linear programming
Languages : en
Pages : 392
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Book Description
Author: Richard J. Painter
Publisher:
ISBN:
Category : Linear programming
Languages : en
Pages : 372
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Book Description
Author: Toshinori Munakata
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 488
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Book Description
Author: Hugh G. Campbell
Publisher: Prentice Hall
ISBN:
Category : Mathematics
Languages : en
Pages : 340
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Book Description
Author: Bernard Kolman
Publisher: Elsevier
ISBN: 148326968X
Category : Mathematics
Languages : en
Pages : 417
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Book Description
Elementary Linear Programming with Applications presents a survey of the basic ideas in linear programming and related areas. It also provides students with some of the tools used in solving difficult problems which will prove useful in their professional career. The text is comprised of six chapters. The Prologue gives a brief survey of operations research and discusses the different steps in solving an operations research problem. Chapter 0 gives a quick review of the necessary linear algebra. Chapter 1 deals with the basic necessary geometric ideas in Rn. Chapter 2 introduces linear programming with examples of the problems to be considered, and presents the simplex method as an algorithm for solving linear programming problems. Chapter 3 covers further topics in linear programming, including duality theory and sensitivity analysis. Chapter 4 presents an introduction to integer programming. Chapter 5 covers a few of the more important topics in network flows. Students of business, engineering, computer science, and mathematics will find the book very useful.
Author: Aaart R. Heesterman
Publisher: Springer Science & Business Media
ISBN: 940097941X
Category : Computers
Languages : en
Pages : 800
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Book Description
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.
Author: Gordon Mills
Publisher: Routledge
ISBN: 1351511564
Category : Mathematics
Languages : en
Pages : 215
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Book Description
This is the first book on linear algebra written specifically for social scientists. It deals only with those aspects of the subject applicable in the social sciences and provides a thorough understanding of linear algebra for those who wish to use it as a tool in the design, execution, and interpretation of research. Linear mathematical models play an important role in all of the social sciences. This book provides a step-by-step introduction to those parts of linear algebra which are useful in such model building. It illustrates some of the applications of linear analysis and helps the reader learn how to convert his formulation of a social science problem into algebraic terms. The author covers matrix algebra, computational methods, linear models involving discrete variables, and clear, complete explanations of necessary mathematical concepts. Prior knowledge of calculus is not required since no use is made of calculus or of complex numbers. A novel feature of the mathematical content of the book is the treatment of models expressed in terms of variables which must be whole numbers (integers). The book is distinguished by a step-by-step exposition that allows the reader to grasp quickly and fully the principles of linear algebra. All of the examples used to illustrate the text are drawn from the social sciences, enabling the reader to relate the subject to concrete problems in his field. Exercises are included as a necessary part of the text to develop points not covered in the text and to provide practice in the algebraic formulation of applied problems. An appendix gives solutions (or hints) for selected exercises.
Author: Dorothy L. Bordner
Publisher:
ISBN:
Category : Algebras, Linear
Languages : en
Pages : 116
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Book Description
Author: Edward G. Bennion
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 164
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Book Description
Author: Hugh G. Campbell
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 468
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Book Description
To interest non-mathematics majors, an effort has been made to interest the reader by means of numerous and diverse examples at the end of most sections. Text presupposes a knowledge of some trigonometry and analytic geometry.
