Introduction to optimization -- Classical optimization techniques -- Linear Programming I: Simplex Method -- Linear Programming II: additional topics and extensions -- Nonlinear Programming I: One-Dimensional minimization methods -- Nonlinear Programming II: unconstrained optimization techniques -- Nonlinear Programming III: constrained optimization techniques -- Geometric Programming -- Dynamic Programming -- Integer Programming -- Stochastic Programming -- Optimal control and optimality criteria methods -- Modern methods of optimization -- Practical aspects of optimization -- App. A Convex and concave functions -- App. B Some computational aspects of optimization -- App. C Introduction to MATLAB -- Answers to selected problems
Summary
This is the only book on the market that discusses all the important methods of optimization. All the methods are presented in a simple language in the most comprehensive manner. Nonlinear, linear, geometric, dynamic and stochastic programming techniques are presented with a focus on engineering applications
