1991
DOI: 10.1137/0728023
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A Finite Element Approximation Theory for the Drift Diffusion Semiconductor Model

Abstract: Two-sided estimates are derived for the approximation of solutions to the driftdiffusion steady-state semiconductor device system which are identified with fixed points of Gummel's solution map. The approximations are defined in terms of fixed points of numerical finite element discretization maps. By use of a calculus developed by Krasnosel'skii and his coworkers, it is possible both to locate approximations near fixed points in an "a priori" manner, as well as fixed points near approximations in an '% poster… Show more

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Cited by 56 publications
(42 citation statements)
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“…Many mathematical papers have been written about the existence and uniqueness of solutions of the boundary value problems, and numerical algorithms have been developed to approximate solutions even for high-dimensional systems (see, e.g., [39,42,61,44]). Under the assumption that 1, the problem can be viewed as a singular perturbation one.…”
mentioning
confidence: 99%
“…Many mathematical papers have been written about the existence and uniqueness of solutions of the boundary value problems, and numerical algorithms have been developed to approximate solutions even for high-dimensional systems (see, e.g., [39,42,61,44]). Under the assumption that 1, the problem can be viewed as a singular perturbation one.…”
mentioning
confidence: 99%
“…where J Many mathematical works have been done on the existence, uniqueness, and qualitative properties of boundary value problems even for high dimensional systems, and algorithms have been developed toward numerical approximations (see, e.g., [5,6,13,7]). Under the assumption that 1, the problem can be viewed as a singularly perturbed system.…”
mentioning
confidence: 99%
“…The iterative procedures of the above-mentioned papers try to construct numerical approximations to the Gummel map (and to its fixed points). A rigorous analysis of the convergence of such numerical approximations can be found in [20]. These iterative procedures can also be applied to solve the transient problem; see [21] and [14].…”
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confidence: 99%