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Titlebook: Efficient Checking of Polynomials and Proofs and the Hardness of Approximation Problems; Madhu Sudan Book 1995 Springer-Verlag Berlin Heid

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書目名稱Efficient Checking of Polynomials and Proofs and the Hardness of Approximation Problems
編輯Madhu Sudan
視頻videohttp://file.papertrans.cn/303/302965/302965.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Efficient Checking of Polynomials and Proofs and the Hardness of Approximation Problems;  Madhu Sudan Book 1995 Springer-Verlag Berlin Heid
描述This book is based on the author‘s PhD thesis which was selected as the winning thesis of the 1993 ACM Doctoral Dissertation Competition. The author improved the presentation and included the progress achieved since the thesis was approved by the University of California at Berkeley..This work is a fascinating piece of theoretical computer science research building on deep results from different areas. It provides new theoretical insights and advances applicable techniques in such different areas as computational complexity, efficient (randomized) checking of proofs, programs and polynomials, approximation algorithms, NP-complete optimization, and error-detection and error-correction algorithms in coding theory.
出版日期Book 1995
關(guān)鍵詞Beweisprüfung; Optimierung; Probabilistische Algorithmen; algorithm; algorithms; approximation; class; codi
版次1
doihttps://doi.org/10.1007/3-540-60615-7
isbn_softcover978-3-540-60615-4
isbn_ebook978-3-540-48485-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1995
The information of publication is updating

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Book 1995mproved the presentation and included the progress achieved since the thesis was approved by the University of California at Berkeley..This work is a fascinating piece of theoretical computer science research building on deep results from different areas. It provides new theoretical insights and adv
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Book 1995ances applicable techniques in such different areas as computational complexity, efficient (randomized) checking of proofs, programs and polynomials, approximation algorithms, NP-complete optimization, and error-detection and error-correction algorithms in coding theory.
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