挑剔小责
发表于 2025-3-23 13:46:21
Voices of the Soviet Space ProgramBasic concepts of numerical optimization (Chap. 11); descent principles for nonsmooth minimization (Chaps. IX and XIII); definition and elementary properties of approximate subdifferentials (Chap. XI); and to a lesser extent: minirnality conditions for simple minimization problems, and elements of duality theory (Chaps. VII and XII).
MERIT
发表于 2025-3-23 16:34:14
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febrile
发表于 2025-3-23 20:24:33
Conjugacy in Convex Analysis,Definitions, properties and operations concerning convex sets (Chap. III) and convex functions (Chap. IV); definition of sublinear functions and associated convex sets (Chap. V); definitions of the subdifferential of a finite convex function (§VI.l). Onedimensional conjugacy (§I.6) can be helpful but is not necessary.
扫兴
发表于 2025-3-23 23:14:19
Approximate Subdifferentials of Convex Functions,Sublinear functions and associated convex sets (Chap. V); characterization of the subdifferential via the conjugacy correspondence (§X.l.4); calculus mIes on conjugate functions (§X.2); and also: behaviour at infinity of one-dimensional convex functions (§I.2.3).
ANT
发表于 2025-3-24 05:28:35
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不能仁慈
发表于 2025-3-24 07:05:18
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HPA533
发表于 2025-3-24 13:40:37
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Triglyceride
发表于 2025-3-24 17:49:51
Acceleration of the Cutting-Plane Algorithm: Primal Forms of Bundle Methods,le convex minimization problems) will suffice for a superficial reading. However, practically all the book is useful for a complete understanding of every detail; in particular: Chap. 11 (basic principies for minimization algorithms), Chap. IV (properties ofperspective-functions), Chap. IX (bundling
Pituitary-Gland
发表于 2025-3-24 22:43:41
Book 1993ain everything from rigorous proofs to tables of numerical calculations.... one of the strong features of these books...that they are designed not for the expert, but for those who whish to learn the subject matter starting from little or no background...there are numerous examples, and counter-exam
锉屑
发表于 2025-3-24 23:35:36
Acceleration of the Cutting-Plane Algorithm: Primal Forms of Bundle Methods, mechanism for descent algorithms), Chap. X (conjugacy, smoothness of the conjugate), Chap. XI (approximate subdifferentials, infimal convolution), Chap. XII (classical algorithms for convex minimization, duality schemes in the convex case), Chap. XIV (general principles of dual bundle methods).