Introduction to Linear Optimization and Extensions with MATLAB
β Scribed by Roy H. Kwon (Author)
- Publisher
- CRC Press
- Year
- 2013
- Leaves
- 356
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics, the book discusses current l
β¦ Table of Contents
FUNDAMENTALS: Geometry of Linear Optimization. Simplex Method. Duality and Sensitivity Analysis. EXTENSIONS: Decomposition in Linear Optimization. Quadratic Optimization. Interior Point Methods. ROBUST STRATEGIES FOR LINEAR OPTIMIZATION: Stochastic Programming. Robust Linear Optimization.
β¦ Subjects
Engineering & Technology;Industrial Engineering & Manufacturing;Operations Research;Production Systems;Mathematics & Statistics;Statistics & Probability;Operations Research
π SIMILAR VOLUMES
This book is based on the lecture notes of the author delivered to the students at the Institute of Science, Banaras Hindu University, India.Β It covers simplex, revised simplex, two-phase method, duality, dual simplex, complementary slackness, transportation and assignment problems with good number
This book emerged from the idea that an optimization training should include three basic components: a strong theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual βreal-lifeβ problems. The book is intended
This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimizationβtheoretical and algorithmic foundation, familiarity with vari
This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization-theoretical and algorithmic foundation, familiarity with vari