Numerical methods for ordinary differential equations

Results: 90



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11Local strong form meshless method on multiple Graphics Processing Units G. Kosec1,2, P. Zinterhof3 1 Jožef Stefan Institute, Department of Communication Systems, JamovaLjubljana, Slovenia 2

Local strong form meshless method on multiple Graphics Processing Units G. Kosec1,2, P. Zinterhof3 1 Jožef Stefan Institute, Department of Communication Systems, JamovaLjubljana, Slovenia 2

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Source URL: www-e6.ijs.si

Language: English - Date: 2013-08-01 05:14:14
12Copyright © 2011 Tech Science Press  CMC, vol.26, no.3, pp, 2011 H-Adaptive Local Radial Basis Function Collocation Meshless Method

Copyright © 2011 Tech Science Press CMC, vol.26, no.3, pp, 2011 H-Adaptive Local Radial Basis Function Collocation Meshless Method

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Source URL: www-e6.ijs.si

Language: English - Date: 2013-08-01 05:14:15
13Chapter 7  Ordinary Differential Equations  Matlab has several different functions for the numerical solution of ordinary differential equations. This chapter describes the simplest of these functions and then

Chapter 7 Ordinary Differential Equations Matlab has several different functions for the numerical solution of ordinary differential equations. This chapter describes the simplest of these functions and then

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Source URL: www.mathworks.com

Language: English - Date: 2013-09-25 13:50:03
14Accurate and stable time integrators

Accurate and stable time integrators

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-16 21:24:51
151. Department, Course Number, Title ORE 766 Numerical Methods in Ocean Engineering 2. Designation as a Required or Elective Course Elective Course 3. Course Catalog Description Formulation and application of numerical me

1. Department, Course Number, Title ORE 766 Numerical Methods in Ocean Engineering 2. Designation as a Required or Elective Course Elective Course 3. Course Catalog Description Formulation and application of numerical me

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Source URL: www.ore.hawaii.edu

Language: English - Date: 2014-09-26 18:25:13
16Index  P -th order accurate 135 local truncation error 205

Index P -th order accurate 135 local truncation error 205

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Source URL: vmm.math.uci.edu

Language: English - Date: 2010-07-07 15:29:34
17The Advanced Research WRF (ARW) Dynamics Solver Bill Skamarock  Jimy Dudhia

The Advanced Research WRF (ARW) Dynamics Solver Bill Skamarock Jimy Dudhia

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Source URL: www2.mmm.ucar.edu

Language: English - Date: 2014-02-03 19:37:13
18Chapter 5  Numerical Methods 5.1. Introduction In the previous chapters we have developed a theoretical understanding of initial value problems for ODEs. Only rarely can these problems be solved in closed form, and even

Chapter 5 Numerical Methods 5.1. Introduction In the previous chapters we have developed a theoretical understanding of initial value problems for ODEs. Only rarely can these problems be solved in closed form, and even

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Source URL: vmm.math.uci.edu

Language: English - Date: 2010-07-07 15:31:11
19Journal of Computational Physics 171, 357–doi:jcph, available online at http://www.idealibrary.com on A Gauss–Seidel Projection Method for Micromagnetics Simulations Xiao-Ping Wang,∗ Ca

Journal of Computational Physics 171, 357–doi:jcph, available online at http://www.idealibrary.com on A Gauss–Seidel Projection Method for Micromagnetics Simulations Xiao-Ping Wang,∗ Ca

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Source URL: www.math.ust.hk

Language: English - Date: 2002-08-02 21:28:42
20The Advanced Research WRF (ARW) Dynamics Solver Bill Skamarock  Jimy Dudhia

The Advanced Research WRF (ARW) Dynamics Solver Bill Skamarock Jimy Dudhia

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Source URL: www2.mmm.ucar.edu

Language: English - Date: 2012-07-23 18:55:45