Matrices and Simplex Algorithms : A Textbook in Mathematical Programming and its Associated Mathematical Topics Free Download


Ebook Matrices and Simplex Algorithms : A Textbook in Mathematical Programming and its Associated Mathematical Topics in PDF - Download Free! Category: Economics
Language: English
Format files: PDF, EPUB, TXT, DOC
The size of the: 12.98 MB
City - Country: Dordrecht, Netherlands
The author of the book: Aaart R. Heesterman
Edition: Springer
Date of issue: 01 Feb 1983
EAN: 9027715149
ISBN: 9789027715142

Full description of the book "Matrices and Simplex Algorithms : A Textbook in Mathematical Programming and its Associated Mathematical Topics":

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 PDF 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 ePub, to first acquaint himself with my ideas. viii INTRODUCTION Parts III and IV are concerned with nonlinear programming.


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About the author Aaart R. Heesterman

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