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 U. Helmke, J. B. Moore - Springer
Aimed at mathematics and engineering graduate students and researchers in the areas of optimization, dynamical systems, control systems, signal processing, and linear algebra. The problems solved are those of linear algebra and linear systems theory.
by P.-A. Absil, R. Mahony, R. Sepulchre - 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.
by A. Ben-Tal, L. El Ghaoui, A. Nemirovski - 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.
by Alexander Bolonkin - viXra.org
This book describes new method of optimization (''Method of Deformation of Functional'') that has the advantages at greater generality and flexibility as well as the ability to solve complex problems which other methods cannot solve.