Lectures on Optimization: Theory and Algorithms
by John Cea
Publisher: Tata Institute of Fundamental Research 1978
Number of pages: 237
Contents: Differential Calculus in Normed Linear Spaces; Minimization of Functionals - Theory; Minimization Without Constraints - Algorithms; Minimization with Constraints - Algorithms; Duality and Its Applications; Elements of the Theory of Control and Elements of Optimal Design.
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by S. Bradley, A. Hax, T. Magnanti - Addison-Wesley
This book shows you how to model a wide array of problems. Covered are topics such as linear programming, duality theory, sensitivity analysis, network/dynamic programming, integer programming, non-linear programming, and my favorite, etc.
by Pravin Varaiya - Van Nostrand
The author presents the main concepts mathematical programming and optimal control to students having diverse technical backgrounds. A reasonable knowledge of advanced calculus, linear algebra, and linear differential equations is required.
by Jim Burke - University of Washington
These are notes for 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.
by Bram L. Gorissen, Ihsan Yanıkoğlu, Dick den Hertog - 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.