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Titlebook: Structured Adaptive Mesh Refinement (SAMR) Grid Methods; Scott B. Baden,Nikos P. Chrisochoides,Michael L. N Conference proceedings 2000 Sp

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书目名称Structured Adaptive Mesh Refinement (SAMR) Grid Methods
编辑Scott B. Baden,Nikos P. Chrisochoides,Michael L. N
视频video
丛书名称The IMA Volumes in Mathematics and its Applications
图书封面Titlebook: Structured Adaptive Mesh Refinement (SAMR) Grid Methods;  Scott B. Baden,Nikos P. Chrisochoides,Michael L. N Conference proceedings 2000 Sp
描述Structured adaptive mesh refinement (SAMR) methods have matured over the past 20 years and are now the method of choice for certain difficult problems, such as compressible flow. SAMR presents difficult technical challenges, both in terms of the numerical techniques involved and the complexity of the programming effort, especially on parallel computers. In order to gain insight into managing these difficulties, much research effort has been directed at mesh generation, parallel computation, and improvements in accuracy, aimed primarily at refinement interfaces. A major stumbling block in this endeavor is that many of these techniques entail substantial amounts of problem specific detail. Standardization is highly unlikely, except within narrowly defined problem domains. The papers presented in this collection are based on talks given at the Workshop on Structured Adaptive Mesh Refinement Grid Methods, held at the Institute for Mathematics and its Applications, University of Minnesota, on March 12-13 1997. They describe research to improve the general understanding of the application of SAMR to practical problems; identify issues critical to efficient and effective implementation on
出版日期Conference proceedings 2000
关键词Fortran; algorithms; complexity; mathematics; programming; combinatorics
版次1
doihttps://doi.org/10.1007/978-1-4612-1252-2
isbn_softcover978-1-4612-7062-1
isbn_ebook978-1-4612-1252-2Series ISSN 0940-6573 Series E-ISSN 2198-3224
issn_series 0940-6573
copyrightSpringer Science+Business Media New York 2000
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0940-6573 rch to improve the general understanding of the application of SAMR to practical problems; identify issues critical to efficient and effective implementation on978-1-4612-7062-1978-1-4612-1252-2Series ISSN 0940-6573 Series E-ISSN 2198-3224
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John G. Michalakesply quantum adaptive dynamics to biology. We show that contextuality and adaptivity of bio-systems leads to violation of laws of classical probability theory (based on the Kolmogorov axiomatics, 1933). Finally, we emphasize the role of quantum information in life science.
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