**Linear Optimisation and Numerical Analysis**

by Ian Craw

**Publisher**: University of Aberdeen 2002**Number of pages**: 151

**Description**:

The overall aim of the course is: to describe the simplex algorithm and show how it can be used to solve real problems; to show how previous results in linear algebra give a framework for understanding the simplex algorithm; and to place the simplex algorithm in a more general context by describing other calculus-based and computer based optimization algorithms.

Download or read it online for free here:

**Download link**

(1.1MB, PDF)

## Similar books

**Scientific Computing**

by

**Jeffrey R. Chasnov**-

**Harvey Mudd College**

This course consists of both numerical methods and computational physics. MATLAB is used to solve various computational math problems. The course is primarily for Math majors and supposes no previous knowledge of numerical analysis or methods.

(

**5497**views)

**Finite Difference Computing with PDEs**

by

**Hans Petter Langtangen, Svein Linge**-

**Springer**

This easy-to-read book introduces the basics of solving partial differential equations by means of finite difference methods. Unlike many of the traditional academic works on the topic, this book was written for practitioners.

(

**3798**views)

**Lectures in Basic Computational Numerical Analysis**

by

**James M. McDonough**-

**University of Kentucky**

These notes cover the following topics: Numerical linear algebra; Solution of nonlinear equations; Approximation theory; Numerical solution of ordinary differential equations; Numerical solution of partial differential equations.

(

**10294**views)

**Notes on Harmonic Analysis**

by

**George Benthien**

Tutorial discussing some of the numerical aspects of practical harmonic analysis. Topics include Historical Background, Fourier Series and Integral Approximations, Convergence Improvement, Differentiation of Fourier Series and Sigma Factors, etc.

(

**8693**views)