Introduction to Linear Optimization and Extensions with MATLAB (Instructor Resources)
Introduction to Linear Optimization and Extensions with MATLAB (Instructor Resources) by Roy H. Kwon
English | 2013 | ISBN-13: 978-1439862636 | Instructor Resources | PDF/PPTX | 9.42 MB
English | 2013 | ISBN-13: 978-1439862636 | Instructor Resources | PDF/PPTX | 9.42 MB
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 linear optimization technologies such as predictor-path following interior point methods for both linear and quadratic optimization as well as the inclusion of linear optimization of uncertainty i.e. stochastic programming with recourse and robust optimization.