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Spectral Functions and Smoothing Techniques on Jordan Algebras. How algebraic techniques can help to design efficient optimization algorithms

Код 1230458

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Аннотация к книге "Spectral Functions and Smoothing Techniques on Jordan Algebras. How algebraic techniques can help to design efficient optimization algorithms"

Convex optimization has witnessed a considerable progress, mainly due to the development of powerful algorithms and software. In fact, one class of convex problems, called self-scaled, can be particularly efficiently solved. This class encompasses a large amount of real-life convex optimization problems, including linear and semidefinite programming. This class is best described using an algebraic structure known as formally real (or Euclidean) Jordan algebra, which provides an elegant and...

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Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-8383-1210-1
Объём: 268 страниц
Масса: 430 г
Размеры(высота, ширина, толщина), см: 23 x 16 x 2

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