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AF: Medium: Computational Complexity Theory and Circuit Complexity

AF: Medium: Computational Complexity Theory and Circuit Complexity
AF:中:计算复杂性理论和电路复杂性
批准号:
1064785
负责人:
Eric Allender
金额:
$42.68万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-06-01 至 2015-05-31

项目摘要

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中文摘要
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英文摘要
This award focuses on problems in computational complexity theory, with the goal of clarifying the power and limitations of various important classes of algorithms (known as "complexity classes"). Complexity classes provide the best tools currently available for understanding the computational complexity of real-world computational problems. Part of the award supports a collaboration with researchers at the Czech Academy of Sciences.Kolmogorov complexity measures the amount of "information" in a finite string, and also provides a mathematical definition of what it means for a string to be "random". Although the Kolmogorov complexity of an arbitrary string cannot be computed, there are strong connections between the (non-computable) notion of randomness and questions about the circuit size required to compute various functions. This award will support an investigation into recent indications that computational complexity classes can be characterized in terms of efficient access to the Kolmogorov complexity function, thus possibly opening a new portal for techniques from the theory of computability and algorithmic randomness to be applied in complexity theory. The award will also support an investigation into the limits of computation by arithmetic circuits. (In an arithmetic circuit, data can only be manipulated by arithmetic operations such as addition and multiplication; operations that directly access the individual bits of numeric data are not supported.)The long-term goals of research in computational complexity, if finally achieved, will have profound impact on the society---for instance, by providing firm mathematical underpinnings to public-key cryptography, which currently rests upon many unproven conjectures. This research activity offers concrete plans for incremental progress toward this long-range goal. The award also supports graduate education. As such, it will assist with training new researchers and educators. The research results will be broadly disseminated, not only through journal publication but also through survey articles in various venues.
期刊论文(1)
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科研奖励(0)
会议论文
DOI: 10.1007/s00037-016-0124-0
发表时间: 2016-02
期刊: computational complexity
影响因子: 1.4
作者: [Eric Allender;D. Holden;Valentine Kabanets]
通讯作者: Eric Allender;D. Holden;Valentine Kabanets
AF: Small: Algebraic Methods in Codes and Computation
  • 批准号:
    1909683
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2019
  • 负责人:
    Eric Allender
  • 依托单位:
AF: Small: Computational Complexity Theory and Circuit Complexity
  • 批准号:
    1909216
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2019
  • 负责人:
    Eric Allender
  • 依托单位:
AF: Student Travel to Clay Mathematics Institute Complexity Workshop
  • 批准号:
    1809703
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.0万
  • 财政年份:
    2018
  • 负责人:
    Eric Allender
  • 依托单位:
EAGER: AF: New approaches to hardness for circuit minimization
  • 批准号:
    1555409
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2015
  • 负责人:
    Eric Allender
  • 依托单位:
海外基金