论计算可溯性

Statistical Inference via Convex Optimization Pub Date : 2020-04-07 DOI:10.2307/j.ctvqsdxqd.8

Neil Rhodes, F. Sullivan, C. Babbage, Jon Bentley

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摘要

“对我来说，伟大的算法是计算的诗歌。就像诗歌一样，它们可以简洁、暗指、密集，甚至神秘。但一旦解锁，它们将为计算机的某些方面带来全新的光芒。”——沙利文

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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On Computational Tractability

Day 2: Basic of Algorithms Analysis "For me, great algorithms are the poetry of computation. Just like verse, they can be terse, allusive, dense, and even mysterious. But once unlocked, they cast a brilliant new light on some aspect of computing."-Francis Sullivan

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Statistical Inference via Convex Optimization

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Index 1. Sparse Recovery via ℓ1 Minimization Frontmatter Appendix: Executive Summary on Efficient Solvability of Convex Optimization Problems 5. Signal Recovery Beyond Linear Estimates