G
Granville Sewell
Researcher at University of Texas at El Paso
Publications - 41
Citations - 789
Granville Sewell is an academic researcher from University of Texas at El Paso. The author has contributed to research in topics: Partial differential equation & Exponential integrator. The author has an hindex of 12, co-authored 39 publications receiving 755 citations. Previous affiliations of Granville Sewell include University of Texas at Austin.
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Book
The numerical solution of ordinary and partial differential equations
TL;DR: In this paper, a review of direct methods for the solution of linear systems is given, followed by a discussion of the more commonly used finite difference methods for solving a variety of problems.
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The Numerical Solution of Ordinary and Partial Differential Equations
Granville Sewell,Harvey Gould +1 more
TL;DR: After a review of direct methods for the solution of linear systems, following chapters introd and analyze the more commonly used finite difference methods for solving a variety of problems.
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Thermal structure, coupling and metamorphism in the Mexican subduction zone beneath Guerrero
Vlad Constantin Manea,Marina Manea,Vladimir Kostoglodov,Claire A. Currie,Claire A. Currie,Granville Sewell +5 more
TL;DR: In this paper, a finite element model is applied to examine the temperature constraints on the width of the coupled area in the Guerrero subduction zone, and the numerical scheme solves a system of 2D Stokes equation and 2D steady-state heat transfer equations.
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Thermo-mechanical model of the mantle wedge in Central Mexican subduction zone and a blob tracing approach for the magma transport
TL;DR: In this paper, the temperature and mantle wedge flow models for the Mexican subduction zone are developed using the finite element method to investigate the thermal structure below the Central Mexican Volcanic Belt (CMVB).
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PDE2D: Easy-to-use software for general two-dimensional partial differential equations
TL;DR: The interactive user interface, which makes this software exceptionally easy to use, and the linear system solvers, which make it efficient, are described in turn.