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Titlebook: Computing and Combinatorics; 8th Annual Internati Oscar H. Ibarra,Louxin Zhang Conference proceedings 2002 Springer-Verlag Berlin Heidelber

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發(fā)表于 2025-3-21 16:32:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Computing and Combinatorics
副標(biāo)題8th Annual Internati
編輯Oscar H. Ibarra,Louxin Zhang
視頻videohttp://file.papertrans.cn/235/234760/234760.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computing and Combinatorics; 8th Annual Internati Oscar H. Ibarra,Louxin Zhang Conference proceedings 2002 Springer-Verlag Berlin Heidelber
出版日期Conference proceedings 2002
關(guān)鍵詞Automat; algorithms; automata; combinatorial optimization; combinatorics; complexity; complexity theory; co
版次1
doihttps://doi.org/10.1007/3-540-45655-4
isbn_softcover978-3-540-43996-7
isbn_ebook978-3-540-45655-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2002
The information of publication is updating

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(2 + ,(,))-SAT and Its Propertieslems in . (denoted as .) with respect to this (2 + .(.))-SAT model. We prove that the restricted version of it is not in . under the assumption . ≠.. Actually it is indeed in . under some stronger but plausible assumption, specifically, the Exponential-Time Hypothesis (.) which was introduced by Impagliazzo and Paturi.
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On the Minimal Polynomial of a Matrixlosed under complement. The latter condition is one of the main open problems in this area..As an application of our techniques we show that the problem to decide whether a matrix is diagonalizable is complete for ..(.=.), the ..-..=..
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2.1 Thermal conductivity at 273 - 300 K,ns of CBV-functions to semi-computable real numbers produce the whole closure of semi-computable real numbers under total computable real functions, and the image sets of semi-computable real numbers under monotone computable functions and CBV-functions are different.
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2.1 Thermal conductivity at 273 - 300 K,t . of resources suffices for an optimal off-line algorithm. The accommodating function was originally used only for α ≥ 1. We focus on α < 1, observe that the function now appears interesting for a greater variety of problems, and use it to make new distinctions between known algorithms and to find new ones.
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