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Optimization Theory and Methods: Nonlinear Programming (Springer Optimization and Its Applications, 1, Band 1) - Hardcover

Sun, Wenyu; Yuan, Ya-Xiang

 
9780387249759: Optimization Theory and Methods: Nonlinear Programming (Springer Optimization and Its Applications, 1, Band 1)

Inhaltsangabe

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. Finally, apart from its use for teaching, Optimization Theory and Methods will be very useful as a research reference.

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Über die Autorin bzw. den Autor

Dr. Wenyu Sun received his B.E. degree from Huazhong University of Science and Technology, Hubei , China, in 2013 and the Ph.D. degree in Engineering from Tsinghua University, Beijing, China, in 2018. Dr. Sun received Bernard Lewis Fellowship from International Combustion Institute, 2018. His Ph.D.thesis was nominated as The Excellent Ph.D. Thesis of Tsinghua University in 2018.

Dr. Sun's work work is centered on combustion kinetics of oxygenated fuels by using experimental, kinetic modeling and theoretical methods. He has published more than 20 scientific papers since 2017. He also serves as reviewer for the journals Proceedings of the Combustion Institute, Combustion Science and Technology since 2017.

Von der hinteren Coverseite

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.

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