Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

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Bibliographic Details

Title: Linear Programming 1: Introduction
Publisher: New Age International Publisher
Publication Date: 2010
Language: English
ISBN 10: 8184893825
ISBN 13: 9788184893823
Binding: Soft cover
Condition: very good

About this title

Synopsis

In this textbook, George Dantzig, pioneer in linear programming (LP) theory, and Mukund Thapa, specialist in LP applications and software, have joined forces to produce this comprehensive and self-contained introduction to the field. Throughout, examples are used to illustrate key ideas such as the formulation of practical LP problems and to explain solution techniques such as the simplex method and interior-point methods. Theorems are made intuitively easy to understand by examples rather than by formal proofs, and the authors` emphasis is on providing clarity and motivation. The accompanying Windows - based software enables the student to formulate an appropriate model on a PC, input its data, obtain an optimal solution, and interpret the results. These features plus an excellent collection of exercises make the book ideal for those who come to this subject for the first time. This special low-priced edition is for sale in India, Bangladesh, Bhutan, Maldives, Nepal, Myanmar, Pakistan and Sri Lanka only. About The Author: George B. Dantzig received the highest U.S. Scientific award, the National Medal of Science for inventing LP, for demonstrating its wide applicability, and for the discovery of an efficient algorithm for numerically solving LPs, the simplex method. Mukund N. Thapa? is President and Chief Executive Officer of Optical Fusion, Inc. which is developing an IP-based multipoint videoconferencing system over networks. As President of Stanford Business Software, Inc., he has consulted with industry on the practical applications of linear programming and its extensions. Many of the book`s examples, exercises, and algorithms reflect his wide-ranging experie

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