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Improving robustness and parallel scalability of Newton method through nonlinear preconditioning
Feng Nan Hwang
, Xiao Chuan Cai
數學系
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引文 斯高帕斯（Scopus）
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深入研究「Improving robustness and parallel scalability of Newton method through nonlinear preconditioning」主題。共同形成了獨特的指紋。
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Keyphrases
Parallel Scalability
100%
Inexact Newton Method
100%
Newton's Method
100%
Nonlinear Preconditioning
100%
Popular
50%
Steady State
50%
Numerical Experiments
50%
Easy-to-implement
50%
Incompressible Navier-Stokes Equations
50%
High Reynolds number
50%
Nonlinear System of Equations
50%
Large Sparse Nonlinear System
50%
Velocity-pressure Formulation
50%
Additive Schwarz
50%
Walker
50%
Newton Direction
50%
Steepest Descent Direction
50%
Mathematics
Newton's Method
100%
Reynolds Number
25%
Numerical Experiment
25%
Nonlinear Systems Of Equations
25%
Navier-Stokes Equation
25%
Steepest Descent Direction
25%
Newton Direction
25%
Engineering
Newton's Method
100%
Nonlinear System
25%
Navier-Stokes Equation
25%
Numerical Experiment
25%
High Reynolds Number
25%
Practical Problem
25%
Steepest Descent Direction
25%
Computer Science
Newton's Method
100%
Nonlinear System
25%
Backtracking
25%
Reynolds Number
25%
incompressible navi stoke equation
25%
Steepest Descent
25%
Descent Direction
25%
Chemical Engineering
Nonlinear System
100%
Scalability
100%