## Optimization: theory and applications |

### What people are saying - Write a review

User Review - Flag as inappropriate

A Really good book with stress both on fundamentals and on applications. Also, it covers a wide variety of algorithms.

User Review - Flag as inappropriate

Optimization Theory and Applications by S.S.Rao

### Contents

Preface | 1 |

Classical Optimization Techniques | 37 |

Linear Programming It Simplex Method | 86 |

Copyright | |

29 other sections not shown

### Other editions - View all

### Common terms and phrases

activities algorithm approximation assume basic feasible solution basic solution basic variables canonical form column components computations considered convergence convex convex function convex set corresponding cost coefficients critical path cycle decision problem denote derivatives design variables dual dynamic programming equality constraints equations evaluated Example feasible region Figure function value geometric programming given by Eq gives gradient hence Hessian matrix inequality infeasible integer programming interior penalty function interval of uncertainty iteration linear programming problem LP problem matrix Maximize maximum negative node nonbasic variables nonlinear programming nonnegative normal distribution objective function obtain optimization problem optimum point optimum solution optimum value partial solution penalty function method polynomial primal procedure quadratic quadratic programming random variables satisfied search direction shown in Fig simplex method slack variables solving stage step length Table tableau techniques theorem unconstrained minimization vector zero