Parameter Optimization in the Regularized Shannon's Kernels of Higher-Order Discrete Singular Convolutions

Parameter Optimization in the Regularized Shannon's Kernels of Higher-Order Discrete Singular Convolutions

The δ-type discrete singular convolution (DSC) algorithm has recently been proposed and applied to solve kinds of partial differential equations (PDEs). With appropriate parameters, particularly the key parameter r in its regularized Shannon's kernel, the DSC algorithm can be more accurate than...

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Bibliographic Details
Main Authors: XIONG, Wei, ZHAO, Yibao, GU, Yun
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2003
Subjects:
Discrete singular convolutions
Energy minimization
Numerical differentiators
Objective functions
Parameter optimization
Regularized Shannon's kernels
Physical Sciences and Mathematics
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/929
https://ink.library.smu.edu.sg/context/lkcsb_research/article/1928/viewcontent/Parameter_optimization_Shannon_2003.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/lkcsb_research/929
https://ink.library.smu.edu.sg/context/lkcsb_research/article/1928/viewcontent/Parameter_optimization_Shannon_2003.pdf

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