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 Guido Schaefer - Utrecht University
From the table of contents: Preliminaries (Optimization Problems); Minimum Spanning Trees; Matroids; Shortest Paths; Maximum Flows; Minimum Cost Flows; Matchings; Integrality of Polyhedra; Complexity Theory; Approximation Algorithms.
by Ian Craw - University of Aberdeen
The book describes the simplex algorithm and shows how it can be used to solve real problems. It shows how previous results in linear algebra give a framework for understanding the simplex algorithm and describes other optimization algorithms.
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 C.T. Kelley - Society for Industrial Mathematics
This book presents a carefully selected group of methods for unconstrained and bound constrained optimization problems and analyzes them in depth both theoretically and algorithmically. It focuses on clarity in algorithmic description and analysis.