Rao S.S. Engineering optimization: theory and practice

John Wiley & Sons, 2009. 813 p. 4th ed. ISBN 978-0-470-18352-6.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.
A Convex and Concave Functions.
B Some Computational Aspects of Optimization.
C Introduction to MatLAB.
Answers to Selected Problems.