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 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.
by Marius Durea, Radu Strugariu - De Gruyter Open
Starting with the case of differentiable data and the classical results on constrained optimization problems, continuing with the topic of nonsmooth objects involved in optimization, the book concentrates on both theoretical and practical aspects.
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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.
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A comprehensive introduction to the subject for students and practitioners in engineering, computer science, mathematics, statistics, finance, etc. The book shows in detail how optimization problems can be solved numerically with great efficiency.