复杂
发表于 2025-3-21 20:02:04
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expunge
发表于 2025-3-21 20:39:34
Large-Scale and Distributed Optimization978-3-319-97478-1Series ISSN 0075-8434 Series E-ISSN 1617-9692
女歌星
发表于 2025-3-22 04:28:40
Pontus Giselsson,Anders RantzerContributes to current and upcoming research on large-scale and distributed optimization.Covers the increasingly important tools and methods for large-scale optimization.Offers a valuable source of in
VAN
发表于 2025-3-22 06:08:25
Lecture Notes in Mathematicshttp://image.papertrans.cn/l/image/581426.jpg
apiary
发表于 2025-3-22 12:07:51
https://doi.org/10.1007/978-3-319-97478-1Large-Scale Optimization; Distributed Optimization; Operator Splitting Methods; Machine Learning; Convex
Priapism
发表于 2025-3-22 14:46:12
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AND
发表于 2025-3-22 18:31:28
Frank-Wolfe Style Algorithms for Large Scale Optimization,rithm using stochastic gradients, approximate subproblem solutions, and sketched decision variables in order to scale to enormous problems while preserving (up to constants) the optimal convergence rate ..
achlorhydria
发表于 2025-3-22 23:59:22
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liposuction
发表于 2025-3-23 01:57:21
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谷物
发表于 2025-3-23 05:34:29
Decomposition Methods for Large-Scale Semidefinite Programs with Chordal Aggregate Sparsity and ParIn this chapter, we review two decomposition frameworks for large-scale SDPs characterized by either chordal aggregate sparsity or partial orthogonality. Chordal aggregate sparsity allows one to decompose the positive semidefinite matrix variable in the SDP, while partial orthogonality enables the d