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"This book provides a comprehensive and up-to-date account of the NMF problem and its most significant features"--
Achieving a better solution or improving the performance of existing system design is an ongoing a process for which scientists, engineers, mathematicians and researchers have been striving for many years. Ever increasingly practical and robust methods have been developed, and e…
"Shape optimization and spectral theory" is a survey book aiming to give an overview of recent results in spectral geometry and its links with shape optimization.It covers most of the issues which are important for people working in PDE and differential geometry interested in sh…
„Shape optimization and spectral theory” is a survey book aiming to give an overview of recent results in spectral geometry and its links with shape optimization.It covers most of the issues which are important for people working in PDE and differential geometry interested in sh…
„Shape optimization and spectral theory" is a survey book aiming to give an overview of recent results in spectral geometry and its links with shape optimization.It covers most of the issues which are important for people working in PDE and differential geometry interested in sh…
"Linear optimization is a powerful modeling method for discovering the best solution to a problem among a set of available alternatives. It is one of today's most important branches of mathematics and computer science--and also a surprisingly rich medium for creating breathtakin…
"This book is about nonlinear observability. It provides a modern theory of observability based on a new paradigm borrowed from theoretical physics. Notably, it presents the first general analytic solution of a very complex open problem: the nonlinear Unknown Input Observability…
"We have effective theories for very few things. Gravity is one, electromagnetism another. But for most things -- whether as mundane as finding a mate or as major as managing an economy -- our theories are lousy or nonexistent. Fortunately, we don't need them, any more than a fi…
"This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an accessible analysis of fundamental problems of hypothesis testing and signal recovery, Anatoli Juditsky and Arkadi Nemirovski show how conv…
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Optimization has played a key role in the design, planning and operation of chemical and related processes, for several decades. Global optimization has been receiving considerable attention in the past two decades. Of the two types of techniques for global optimization, stochas…
Covering the current state of the art, this book explores an important and central issue in convex optimization: optimality conditions. It focuses on finite dimensions to allow for much deeper results and a better understanding of the structures involved in a convex optimization…