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Structured Adaptive Mesh Refinement (SAMR) Grid Methods

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Cover of 'Structured Adaptive Mesh Refinement (SAMR) Grid Methods'

Table of Contents

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    Book Overview
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    Chapter 1 Systems Engineering for High Performance Computing Software: The HDDA/DAGH Infrastructure for Implementation of Parallel Structured Adaptive Mesh
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    Chapter 2 HAMR: The Hierarchical Adaptive Mesh Refinement System
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    Chapter 3 AMR++: A Design for Parallel Object-Oriented Adaptive Mesh Refinement
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    Chapter 4 RSL: A Parallel Runtime System Library for Regional Atmospheric Models with Nesting
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    Chapter 5 Software Abstractions and Computational Issues in Parallel Structured Adaptive Mesh Methods for Electronic Structure Calculations
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    Chapter 6 Structured Adaptive Mesh Refinement using High Performance Fortran
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    Chapter 7 The Dynamics of Localized Coherent Structures and the Role of Adaptive Software in Multiscale Modeling
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    Chapter 8 Progress, Results, and Experiences in Developing an Adaptive Solver for Steady State Turbulent Reacting Flows in Industrial Boilers and Furnaces
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    Chapter 9 Making Arbitrarily Small Black Holes: Experiences with AMR in Numerical Relativity
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    Chapter 10 A Hybrid AMR Application for Cosmology and Astrophysics
Attention for Chapter 6: Structured Adaptive Mesh Refinement using High Performance Fortran
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Chapter title
Structured Adaptive Mesh Refinement using High Performance Fortran
Chapter number 6
Book title
Structured Adaptive Mesh Refinement (SAMR) Grid Methods
Published by
Springer, New York, NY, January 2000
DOI 10.1007/978-1-4612-1252-2_6
Book ISBNs
978-1-4612-7062-1, 978-1-4612-1252-2
Authors

Piyush Mehrotra, Mehrotra, Piyush

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Engineering 1 100%

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