**Decision Making and Productivity Measurement**

by Dariush Khezrimotlagh

**Publisher**: arXiv 2016**Number of pages**: 214

**Description**:

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.

Download or read it online for free here:

**Download link**

(4.6MB, PDF)

## Similar books

**Applied Mathematical Programming**

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.

(

**16541**views)

**Lectures on Optimization: Theory and Algorithms**

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.

(

**9646**views)

**Convex Optimization: Algorithms and Complexity**

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.

(

**4408**views)

**Convex Optimization**

by

**Stephen Boyd, Lieven Vandenberghe**-

**Cambridge University Press**

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.

(

**17294**views)