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Review

2020

Review

2020

Deep learning has achieved remarkable success in diverse applications; however, its use in solving partial differential equations… Expand

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Highly Cited

2009

Highly Cited

2009

A new method that enables easy and convenient discretization of partial differential equations with derivatives of arbitrary real… Expand

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Highly Cited

2009

Highly Cited

2009

Many applications in the natural and applied sciences require the solutions of partial differential equations (PDEs) on surfaces… Expand

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Highly Cited

2008

Highly Cited

2008

Decomposition Frameworks.- Schwarz Iterative Algorithms.- Schur Complement and Iterative Substructuring Algorithms.- Lagrange… Expand

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Highly Cited

2001

Highly Cited

2001

This paper presents a framework for the construction of Galerkin approximations of elliptic boundary-value problems with… Expand

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Highly Cited

1995

Highly Cited

1995

Partial differential equations are the chief means of providing mathematical models in science, engineering and other fields… Expand

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Highly Cited

1990

Highly Cited

1990

Abstract We discuss the generation of curvilinear composite overlapping grids and the numerical solution of partial differential… Expand

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Highly Cited

1988

Highly Cited

1988

Professor Johnson presents an easily accessible introduction to one of the most important methods used to solve partial… Expand

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Highly Cited

1974

Highly Cited

1974

Learn to write programs to solve ordinary and partial differential equations The Second Edition of this popular text provides an… Expand

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Highly Cited

1966

Highly Cited

1966

Maxwell's equations are replaced by a set of finite difference equations. It is shown that if one chooses the field points… Expand

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