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: Applied Mathematical Programming Using Algebraic SystemsApplied Mathematical Programming Using Algebraic Systems
by - Texas A&M University
This book is intended to both serve as a reference guide and a text for a course on Applied Mathematical Programming. The text concentrates upon conceptual issues, problem formulation, computerized problem solution, and results interpretation.
(7734 views)
Book cover: Optimization Algorithms on Matrix ManifoldsOptimization Algorithms on Matrix Manifolds
by - Princeton University Press
Many science and engineering problems can be rephrased as optimization problems on matrix search spaces endowed with a manifold structure. This book shows how to exploit the structure of such problems to develop efficient numerical algorithms.
(13287 views)
Book cover: A Practical Guide to Robust OptimizationA Practical Guide to Robust Optimization
by - arXiv
The aim of this paper is to help practitioners to understand robust optimization and to successfully apply it in practice. We provide a brief introduction to robust optimization, and also describe important do's and don'ts for using it in practice.
(4279 views)
Book cover: Optimal Stopping and ApplicationsOptimal Stopping and Applications
by - UCLA
From the table of contents: Stopping Rule Problems; Finite Horizon Problems; The Existence of Optimal Rules; Applications. Markov Models; Monotone Stopping Rule Problems; Maximizing the Rate of Return; Bandit Problems; Solutions to the Exercises.
(8717 views)