International Symposium on Wen-Tsun Wu's Academic Thought and Mathematics Mechanization

IF 0.4 Q4 MATHEMATICS, APPLIED
Academy of Mathematics and Systems Science
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引用次数: 0

Abstract

During May 12-17, 2019, shall we celebrate the late famous mathematician Wen-Tsun Wu's centenary birthday. Professor Wen-Tsun Wu is one of the most internationally influential mathematicians in China, who brought far-reaching influence on both mathematics and computer research by his great contributions to the field of topology and the opening of the new area of Mathematics Mechanization. His research includes algebraic topology, di.erential topology, mathematics mechanization, algebraic geometry, game theory as well as the history of mathematics. His work has been regarded as among the greatest classical influential results in topology. In late 1970s, he opened the area of mathematics mechanization by the so-called "Wu method" which automatically proves geometric theorems using computers and was taken as the pioneer work in automatic reasoning. The symposium focuses on his achievements in topology, mathematics mechanization as well as the history of mathematics, and casts light on their future prospects and potential applications. Specific topics for the symposium include but are not limited to: •Algebraic topology •Automated reasoning •Computational algebraic geometry and optimization •Computational geometry and topology •Computational number theory •Coding theory and cryptology •Di.erential and di.erence algebras •History of mathematics •Polynomial equation solving •Symbolic or symbolic-numeric computation •Applications of mathematical mechanization
温学术思想与数学机械化国际学术研讨会
2019年5月12日至17日,我们将庆祝已故著名数学家温的百年诞辰。温教授是我国最具国际影响力的数学家之一,他对拓扑学和数学机械化新领域的开拓做出了重大贡献,对数学和计算机研究都产生了深远的影响。他的研究内容包括代数拓扑、二元拓扑、数学机械化、代数几何、博弈论以及数学史。他的工作被认为是拓扑学中最具影响力的经典成果之一。20世纪70年代末,他用计算机自动证明几何定理的“吴法”开辟了数学机械化领域,被认为是自动推理的先驱。研讨会重点介绍了他在拓扑学、数学机械化以及数学史方面的成就,并对其未来前景和潜在应用进行了展望。研讨会的具体主题包括但不限于:•代数拓扑•自动推理•计算代数几何和优化•计算几何和拓扑•计算数论•编码理论和密码学•递推代数和递推代数•数学史•多项式方程求解•符号或符号数字计算•数学机械化的应用
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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CiteScore
0.70
自引率
0.00%
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