Software for Error Controlled Numerical Solution of Boundary Value Ordinary Differential Equations and Parabolic Partial Differential Equations
Software for Error Controlled Numerical Solution of Boundary Value Ordinary Differential Equations and Parabolic Partial Differential Equations
批准号:
946-2012
负责人:
Muir, Paul
金额:
$1.6万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2012
资助国家:
加拿大
项目状态:
已结题
起止时间:
2012-01-01 至 2013-12-31
中文摘要
与理论和实验科学一样,计算建模现在被视为科学探究的第三个基本分支。在化学、物理、生物和金融等领域产生的大多数计算模型都涉及到复杂的微分方程组(DES),这些微分方程组的近似解是通过使用复杂的数值软件获得的。由于数值解是近似的,因此软件还必须评估计算解的质量。两种流行的评估类型是整体误差(近似解和精确解之间的差异)和缺陷(数值解未能满足方程的程度)。高质量的软件将调整计算,以便可以有效地获得数值解,并且使得对全局误差或缺陷的估计满足用户提供的容差。
英文摘要
Along with theoretical and experimental science, computational modeling is now viewed as a third fundamental branch of scientific inquiry. A majority of computational models, arising in such areas as chemistry, physics, biology, and finance, involve complex systems of differential equations (DEs), for which approximate solutions are obtained through the use of sophisticated numerical software. Because the numerical solutions are approximate, it is essential that the software also assess the quality of the computed solution. Two popular types of assessment are the global error (the difference between the approximate and exact solutions) and the defect (the amount by which the numerical solution fails to satisfy the equations). Good quality software will adapt a computation so that the numerical solution can be obtained efficiently and so that an estimate of the global error or defect satisfies a user-provided tolerance.
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Numerical Software for the Adaptive Error Controlled Solution of Ordinary and Partial Differential Equations
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批准号:RGPIN-2017-05811
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.79万
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财政年份:2022
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负责人:Muir, Paul
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依托单位:
Numerical Software for the Adaptive Error Controlled Solution of Ordinary and Partial Differential Equations
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批准号:RGPIN-2017-05811
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.89万
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财政年份:2021
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负责人:Muir, Paul
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依托单位:
Numerical Software for the Adaptive Error Controlled Solution of Ordinary and Partial Differential Equations
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批准号:RGPIN-2017-05811
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.89万
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财政年份:2020
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负责人:Muir, Paul
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依托单位:
Numerical Software for the Adaptive Error Controlled Solution of Ordinary and Partial Differential Equations
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批准号:RGPIN-2017-05811
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.89万
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财政年份:2019
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负责人:Muir, Paul
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依托单位:
Numerical Software for the Adaptive Error Controlled Solution of Ordinary and Partial Differential Equations
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批准号:RGPIN-2017-05811
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.89万
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财政年份:2018
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负责人:Muir, Paul
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依托单位:
Software for Error Controlled Numerical Solution of Boundary Value Ordinary Differential Equations and Parabolic Partial Differential Equations
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批准号:946-2012
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.6万
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财政年份:2016
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负责人:Muir, Paul
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依托单位:
Software for Error Controlled Numerical Solution of Boundary Value Ordinary Differential Equations and Parabolic Partial Differential Equations
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批准号:946-2012
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.6万
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财政年份:2015
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负责人:Muir, Paul
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依托单位:
Software for Error Controlled Numerical Solution of Boundary Value Ordinary Differential Equations and Parabolic Partial Differential Equations
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批准号:946-2012
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.6万
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财政年份:2014
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负责人:Muir, Paul
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依托单位:
Software for Error Controlled Numerical Solution of Boundary Value Ordinary Differential Equations and Parabolic Partial Differential Equations
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批准号:946-2012
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.6万
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财政年份:2013
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负责人:Muir, Paul
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依托单位:
Robustness and efficiency improvements and problem class extensions for numerical software for differential equations
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批准号:946-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.35万
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财政年份:2011
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负责人:Muir, Paul
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依托单位:
Robustness and efficiency improvements and problem class extensions for numerical software for differential equations
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批准号:946-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.35万
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财政年份:2010
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负责人:Muir, Paul
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依托单位:
Robustness and efficiency improvements and problem class extensions for numerical software for differential equations
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批准号:946-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.35万
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财政年份:2009
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负责人:Muir, Paul
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依托单位:
Robustness and efficiency improvements and problem class extensions for numerical software for differential equations
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批准号:946-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.35万
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财政年份:2008
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负责人:Muir, Paul
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依托单位:
Robustness and efficiency improvements and problem class extensions for numerical software for differential equations
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批准号:946-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.35万
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财政年份:2007
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负责人:Muir, Paul
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依托单位:
Software development in numerical methods for differential equations based on Runge-Kutta methods and defect control
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批准号:946-2002
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.46万
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财政年份:2006
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负责人:Muir, Paul
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依托单位:
Software development in numerical methods for differential equations based on Runge-Kutta methods and defect control
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批准号:946-2002
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.46万
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财政年份:2005
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负责人:Muir, Paul
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依托单位:
Software development in numerical methods for differential equations based on Runge-Kutta methods and defect control
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批准号:946-2002
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.46万
-
财政年份:2004
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负责人:Muir, Paul
-
依托单位:
Software development in numerical methods for differential equations based on Runge-Kutta methods and defect control
-
批准号:946-2002
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.46万
-
财政年份:2003
-
负责人:Muir, Paul
-
依托单位:
Software development in numerical methods for differential equations based on Runge-Kutta methods and defect control
-
批准号:946-2002
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.46万
-
财政年份:2002
-
负责人:Muir, Paul
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依托单位:
Efficient runge-kutta software for mixed order systems of boundary ODEs value
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批准号:946-1998
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.26万
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财政年份:2001
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负责人:Muir, Paul
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依托单位:
国内基金
海外基金
基于Laplace Error惩罚函数的变量选择方法及其在全基因组关联分析中的应用
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批准号:11001280
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2010
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负责人:王学钦
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依托单位: