**Applied Mathematical Programming Using Algebraic Systems**

by Bruce A. McCarl, Thomas H. Spreen

**Publisher**: Texas A&M University 2011**Number of pages**: 567

**Description**:

This book is intended to both serve as a reference guide and a text for a course on Applied Mathematical Programming. The material presented will concentrate upon conceptual issues, problem formulation, computerized problem solution, and results interpretation. Solution algorithms will be treated only to the extent necessary to interpret solutions and overview events that may occur during the solution process.

Download or read it online for free here:

**Download link**

(1.7MB, PDF)

## Similar books

**Discrete Optimization**

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.

(

**8897**views)

**Notes on Optimization**

by

**Pravin Varaiya**-

**Van Nostrand**

The author presents the main concepts mathematical programming and optimal control to students having diverse technical backgrounds. A reasonable knowledge of advanced calculus, linear algebra, and linear differential equations is required.

(

**11761**views)

**Optimization and Dynamical Systems**

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.

(

**13973**views)

**Optimization Algorithms on Matrix Manifolds**

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.

(

**17708**views)