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长亭科技 - 下一代应用安全领导者

长亭科技是国内顶尖的网络信息安全公司之一，专注为企业级用户提供高质量的应用安全防护解决方案。全球范围内首发基于智能语义分析的雷池（SafeLine）下一代 Web 应用防火墙，为企业用户带来更简单、更智能、更省心的安全产品及服务。
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长亭科技 - 下一代应用安全领导者
长亭科技是国内顶尖的网络信息安全公司之一，专注为企业级用户提供高质量的应用安全防护解决方案。全球范围内首发基于智能语义分析的雷池（SafeLine）下一代 Web 应用防火墙，为企业用户带来更简单、更智能、更省心的安全产品及服务。 Measure of algorithmic complexity. In algorithmic information theory (a subfield of computer science and mathematics), the Kolmogorov complexity of an object, such as a piece of text, is the length of a shortest computer program (in a predetermined programming language) that produces the object as output. It is a measure of the computational resources needed to specify the object, and is also known as algorithmic complexity, Solomonoff–Kolmogorov–Chaitin complexity, program-size complexity, descriptive complexity, or algorithmic entropy. It is named after Andrey Kolmogorov, who first published on the subject in 1963 and is a generalization of classical information theory. The notion of Kolmogorov complexity can be used to state and prove impossibility results akin to Cantor's diagonal argument, Gödel's incompleteness theorem, and Turing's halting problem. In particular, no program P computing a lower bound for each text's Kolmogorov complexity can return a value essentially larger than P's own length (see section § Chaitin's incompleteness theorem); hence no single program can compute the exact Kolmogorov complexity for infinitely many texts.

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