"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…
Optimization, simulation and control are very powerful tools in engineering and mathematics, and play an increasingly important role. Because of their various real-world applications in industries such as finance, economics, and telecommunications, research in these fields is ac…
"Preface Support vector machines (SVMs), which were introduced by Vapnik in the early 1990s, are proved effective and promising techniques for data mining. SVMs have recently been breakthroughs in advance in their theoretical studies and implementations of algorithms. They have …
With the proliferation of parallel computers and faster community networks, parallel metaheuristics are an effective alternative to speed up the search for approximate solutions of optimizations problems and allow solving larger problems while leading to more efficient algorithm…
"In a self-contained presentation, this book builds upon the standard mathematical background imparted in an undergraduate engineering program. It develops the often-encountered abstruse concepts by proceeding from concrete examples to abstract results. Based on the author's cla…
Nonconvex Optimal Control and Variational Problems is an important contribution to the existing literature in the field and is devoted to the presentation of progress made in the last 15 years of research in the area of optimal control and the calculus of variations. This volume…
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…
"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…
"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…
Annotation
"This book provides a comprehensive and up-to-date account of the NMF problem and its most significant features"--
Annotation
"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…