超出线性估计的信号恢复

J. Stillwell
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引用次数: 0

摘要

这一章解释了为什么皮亚诺算法(PA)的Σ[1]公式捕获了所有可计算的可枚举集合,正如Alonzo Church在上一章中所声称的那样。这允许我们在PA语言中捕获“可计算分析”,因为可计算集和函数是根据可计算枚举性定义的。为了证明Σ“0 1”=“可计算枚举”的说法是正确的,本章对计算的概念进行了彻底的分析。它需要一个精确的,但直觉上自然的计算概念,并将其翻译成PA的语言。这一章证明了翻译确实是Σ™0 1,但是对Σ™0 1的定义略有不同(尽管相同)。
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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Signal Recovery Beyond Linear Estimates
This chapter explains why Σ‎0 1 formulas of Peano arithmetic (PA) capture all computably enumerable sets, as claimed by Alonzo Church's thesis from the previous chapter. This allows us to capture “computable analysis” in the language of PA, since computable sets and functions are definable in terms of computable enumerability. To justify the claim that Σ‎0 1 = “computably enumerable,” this chapter makes a thorough analysis of the concept of computation. It takes a precise, but intuitively natural, concept of computation and translates it into the language of PA. The chapter demonstrates that the translation is indeed Σ‎0 1, but with a slightly different (though equivalent) definition of Σ‎0 1.
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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
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