Decision Making and Productivity Measurement
by Dariush Khezrimotlagh
Publisher: arXiv 2016
Number of pages: 214
I wrote this book as a self-teaching tool to assist every teacher, student, mathematician or non-mathematician for educating herself or others, and to support their understanding of the elementary concepts on assessing the performance of a set of homogenous firms, as well as how to correctly adapt mathematics to these concepts step by step, in order to underpin this area and rebuild the foundation and columns of efficiency measurement for further research.
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by John Cea - 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.
by Sebastien Bubeck - 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.
by Katta G. Murty - 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.
by Thomas S. Ferguson - 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.