Logo

Linear Programming by Jim Burke

Small book cover: Linear Programming

Linear Programming
by

Publisher: University of Washington

Description:
An introductory course in linear programming. The four basic components of the course are modeling, solution methodology, duality theory, and sensitivity analysis. We focus on the simplex algorithm due to George Dantzig since it offers a complete framework for discussing both the geometry and duality theory for linear programs.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Optimization Models For Decision MakingOptimization Models For Decision Making
by - Springer
This is a Junior level book on some versatile optimization models for decision making in common use. The aim of this book is to develop skills in mathematical modeling, and in algorithms and computational methods to solve and analyze these models.
(10883 views)
Book cover: Convex Optimization: Algorithms and ComplexityConvex Optimization: Algorithms and Complexity
by - arXiv.org
This text presents the main complexity theorems in convex optimization and their algorithms. Starting from the fundamental theory of black-box optimization, the material progresses towards recent advances in structural and stochastic optimization.
(5841 views)
Book cover: Lectures on Optimization: Theory and AlgorithmsLectures on Optimization: Theory and Algorithms
by - Tata Institute of Fundamental Research
Contents: Differential Calculus in Normed Linear Spaces; Minimization of Functionals; Minimization Without Constraints; Minimization with Constraints; Duality and Its Applications; Elements of the Theory of Control and Elements of Optimal Design.
(10500 views)
Book cover: Robust OptimizationRobust Optimization
by - Princeton University Press
Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of this relatively new approach to optimization.
(10351 views)