Advances in digital computer efficiency and the evolution of a reliable software for numerical computation during the past three decades has led to rapid growth in the theory, methods, and numerical optimization algorithms. This body of knowledge has led to widespread applications of optimization methods in many disciplines, for example, engineering, business, and science, and then causes the solution to problems that are considered hard not too long ago. Key Features: classroom-tested extensively provides a complete teaching package with MATLAB exercises and online solutions to the problem of end-of-chapter including current methods of interest arise, such as semidefinite programming and second-order cone programming presents an integrated treatment optimization unlimited and limited using a practical treatment of optimization accessible to a wide audience, from students to scientists and industry professionals provides a thorough appendix with background theory so that non-experts can understand how the completed application from the viewpoint of optimization