His main research concerns Mathematical analysis, Finite element method, Boundary value problem, Iterative method and Partial differential equation. His research investigates the connection with Mathematical analysis and areas like Saddle point which intersect with concerns in Uzawa iteration. The Finite element method study combines topics in areas such as Discretization, Algorithm and Smoothed finite element method.
The study incorporates disciplines such as Elliptic curve, Boundary and Preconditioner in addition to Boundary value problem. He usually deals with Iterative method and limits it to topics linked to Conjugate gradient method and System of linear equations. His Partial differential equation research is multidisciplinary, relying on both Positive-definite matrix, Dirichlet problem and Differential equation.
His primary areas of investigation include Mathematical analysis, Boundary value problem, Finite element method, Applied mathematics and Multigrid method. His study connects Iterative method and Mathematical analysis. His biological study deals with issues like Elliptic curve, which deal with fields such as Product.
His Boundary value problem research incorporates themes from Boundary, Galerkin method and Bounded function. The various areas that he examines in his Finite element method study include Discretization, Algorithm, Numerical analysis and Boundary problem. His work carried out in the field of Applied mathematics brings together such families of science as Positive-definite matrix, Discrete mathematics, Projection, Simple and Mathematical optimization.
James H. Bramble spends much of his time researching Mathematical analysis, Domain, Boundary value problem, Finite element method and Sobolev space. In his study, Lipschitz continuity is strongly linked to Boundary, which falls under the umbrella field of Mathematical analysis. His work is dedicated to discovering how Boundary value problem, Function are connected with Analytic geometry and other disciplines.
His research integrates issues of Discretization, Multigrid method and Numerical analysis in his study of Finite element method. His work in Discretization addresses issues such as Preconditioner, which are connected to fields such as Finite difference. His Sobolev space research is multidisciplinary, incorporating perspectives in Besov space, Linear system, Elliptic curve, Weak formulation and Applied mathematics.
His primary scientific interests are in Mathematical analysis, Domain, Boundary, Lipschitz continuity and Dirichlet problem. His study in Mathematical analysis concentrates on Boundary value problem, Sobolev space, Lipschitz domain, Biharmonic equation and Helmholtz equation. The concepts of his Sobolev space study are interwoven with issues in Positive-definite matrix, Linear system, Petrov–Galerkin method, Weak formulation and Applied mathematics.
His Biharmonic equation study integrates concerns from other disciplines, such as Linear elasticity and Convex hull, Regular polygon. His Helmholtz equation research includes elements of Numerical integration, Frequency domain and Perfectly matched layer. He interconnects Besov space, Elliptic curve, Partial differential equation and Hilbert space in the investigation of issues within Dirichlet problem.
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Parallel multilevel preconditioners
James H. Bramble;Joseph E. Pasciak;Jinchao Xu.
Mathematics of Computation (1990)
Parallel multilevel preconditioners
James H. Bramble;Joseph E. Pasciak;Jinchao Xu.
Mathematics of Computation (1990)
The construction of preconditioners for elliptic problems by substructuring. I
J H Bramble;J E Pasciak;A H Schatz.
Mathematics of Computation (1986)
The construction of preconditioners for elliptic problems by substructuring. I
J H Bramble;J E Pasciak;A H Schatz.
Mathematics of Computation (1986)
A preconditioning technique for indefinite systems resulting from mixed approximations of elliptic problems
James H. Bramble;Joseph E. Pasciak.
Mathematics of Computation (1988)
A preconditioning technique for indefinite systems resulting from mixed approximations of elliptic problems
James H. Bramble;Joseph E. Pasciak.
Mathematics of Computation (1988)
Estimation of Linear Functionals on Sobolev Spaces with Application to Fourier Transforms and Spline Interpolation
J. H. Bramble;S. R. Hilbert.
SIAM Journal on Numerical Analysis (1970)
Analysis of the Inexact Uzawa Algorithm for Saddle Point Problems
James H. Bramble;Joseph E. Pasciak;Apostol T. Vassilev.
SIAM Journal on Numerical Analysis (1997)
Analysis of the Inexact Uzawa Algorithm for Saddle Point Problems
James H. Bramble;Joseph E. Pasciak;Apostol T. Vassilev.
SIAM Journal on Numerical Analysis (1997)
Convergence estimates for multigrid algorithms without regularity assumptions
James H. Bramble;Joseph E. Pasciak;Jun Ping Wang;Jinchao Xu.
Mathematics of Computation (1991)
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