Titlebook: Matrices; Theory and Applicati Denis Serre Textbook 2010Latest edition The Editor(s) (if applicable) and The Author(s), under exclusive lic

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脆弱带来

Denis Serreallow to solve nonsmooth convex optimization problems faster than dictate theoretical lower complexity bounds. In this work the particular attention is given to Nesterov smoothing technique, Nesterov universal approach, and Legendre (saddle point) representation approach. The new results on universa

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pace, an intermediate iterate is defined such that the overall convergence is driven by the .-step. As a result, the serious-step subsequence converges with superlinear speed..By focusing on the proximal variants of bundle methods, this chapter introduces gradually the .-theory and the ingredients n

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Denis Serrel implications. He also explains in detail the numerical schemes utilized..Readers will find that this book offers a compact yet comprehensive introduction..978-3-319-01474-6978-3-319-01475-3Series ISSN 2191-9100 Series E-ISSN 2191-9119

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Textbook 2010Latest editional analysis. As such, this book will provide many scientists, not just mathematicians, with a useful and reliable reference. It is intended for advanced undergraduate and graduate students with either applied or theoretical goals. This book is based on a course given by the author at the École Normale Supérieure de Lyon.

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新陈代谢

Denis Serre students attending courses on numerical nonsmooth optimization, for lecturers who teach optimization courses, and for practitioners who apply nonsmooth optimization methods in engineering, artificial intellige978-3-030-34912-7978-3-030-34910-3

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https://doi.org/10.1007/978-1-4419-7683-3Approximation of eigenvalues; Determinant, Pfaffian; Eigenvalue; Eigenvalues, localization; Exponential,

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Matrices978-1-4419-7683-3Series ISSN 0072-5285 Series E-ISSN 2197-5612