Optimization Theory and Methods: Nonlinear Programming (Springer Optimization and Its Applications, Vol. 1) (Springer Optimization and Its Applications (1))

This book, a result of the authors’ teaching and research experience in various universities and institutes over the past ten years, can be used as a textbook for an optimization course for graduates and senior undergraduates. It systematically describes optimization theory and several powerful methods, including recent results. For most methods, the authors discuss an idea’s motivation, study the derivation, establish the global and local convergence, describe algorithmic steps, and discuss the numerical performance. The book deals with both theory and algorithms of optimization concurrently. It also contains an extensive bibliography with 366 references. Finally, apart from its use for teaching, __Optimization Theory and Methods__ is also very beneficial for doing research. __Audience__ This book is intended for senior students, graduates, teachers, and researchers in optimization, operations research, computational mathematics, applied mathematics, and some engineering and economics. It will also be useful for scientists in engineering and economics. "This book, a result of the authors' teaching and research experience in various universities and institutes over the past ten years, can be used as a textbook for an optimization course for graduates and senior undergraduates. It systematically describes optimization theory and several powerful methods, including recent results. For most methods, the authors discuss an idea's motivation, study the derivation, establish the global and local convergence, describe algorithmic steps, and discuss the numerical performance. The book deals with both theory and algorithms of optimization concurrently. It also contains an extensive bibliography with 366 references. Finally, apart from its use for teaching, Optimization Theory and Methods is also very beneficial for doing research. Audience This book is intended for senior students, graduates, teachers, and researchers in optimization, operations research, computational mathematics, applied mathematics, and some engineering and economics. It will also be useful for scientists in engineering and economics."--Publisher's website

this Book, A Result Of The Author's Teaching And Research Experience In Various Universities And Institutes Over The Past Ten Years, Can Be Used As A Textbook For An Optimization Course For Graduates And Senior Undergraduates. It Systematically Describes Optimization Theory And Several Powerful Methods, Including Recent Results. For Most Methods, The Authors Discuss An Idea’s Motivation, Study The Derivation, Establish The Global And Local Convergence, Describe Algorithmic Steps, And Discuss The Numerical Performance. The Book Deals With Both Theory And Algorithms Of Optimization Concurrently. It Also Contains An Extensive Bibliography. Finally, Apart From Its Use For Teaching, Optimization Theory And Methods Will Be Very Beneficial As A Research Reference.

Optimization Theory and Methods can be used as a textbook for an optimization course for graduates and senior undergraduates. It is the result of the author's teaching and research over the past decade. It describes optimization theory and several powerful methods. For most methods, the book discusses an idea’s motivation, studies the derivation, establishes the global and local convergence, describes algorithmic steps, and discusses the numerical performance.