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NeuroComputation Techniques in SampledData Electromagnetic Field Problems
"... AbstractIn this paper, a technique is introduced by which to extend the applicability of the existing analytic solutions of electromagnetic field problems to cases where randomnoisysampled data (such as measurement outputs) are available, rather than analytic input functions. We address those pro ..."
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AbstractIn this paper, a technique is introduced by which to extend the applicability of the existing analytic solutions of electromagnetic field problems to cases where randomnoisysampled data (such as measurement outputs) are available, rather than analytic input functions. We address those
Compatibility relations and the finiteelement formulation of electromagnetic field problem
 IEEE Trans. Magn
, 1994
"... tion will be generalized to the use of the compatibility relations for electromagnetic fields. It will also be shown that the use of divergencefree edge elements, which is advocated by some authors (see ..."
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Cited by 1 (0 self)
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tion will be generalized to the use of the compatibility relations for electromagnetic fields. It will also be shown that the use of divergencefree edge elements, which is advocated by some authors (see
APPROACH TO FINITE ELEMENT SOFTWARE DEVELOPMENT FOR ELECTROMAGNETIC FIELD PROBLEMS
"... Much of today’s finite elementsbased software for electromagnetic field computation has been developed on an ad hoc basis, often as an outgrowth of ongoing research whether at universities or agencies like NASA. “Design ” is seen as the execution of computational algorithms yielding the computed de ..."
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Much of today’s finite elementsbased software for electromagnetic field computation has been developed on an ad hoc basis, often as an outgrowth of ongoing research whether at universities or agencies like NASA. “Design ” is seen as the execution of computational algorithms yielding the computed
DEVELOPMENT AND IMPLEMENTATION OF A FINITE ELEMENT PROGRAM FOR STATIC ELECTROMAGNETIC FIELD PROBLEMS
"... ive rsi ty ..."
The Solution of Electromagnetic Field Problems Using a Sliding Window GaussSeidel Algorithm on a Multicore Processor
"... Chipbased multicore processors (CMPs) raise the possibility of significant improvement in the performance of electromagnetic simulation tools. They can impact the mesh generation, solution, and result evaluation phases. This paper investigates the parallelization and scalability of Gauss–Seidel on ..."
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–Seidel on CMPs by using a new cache blocking technique to overcome the small cache problem while using a thread synchronization technique for better cache sharing and to maximize thread cycle utilization. Index Terms—Cache blocking, chip multicore processors (CMPs), electromagnetic field problem solver, Gauss
Inverse Acoustic and Electromagnetic Scattering Theory, Second Edition
, 1998
"... Abstract. This paper is a survey of the inverse scattering problem for timeharmonic acoustic and electromagnetic waves at fixed frequency. We begin by a discussion of “weak scattering ” and Newtontype methods for solving the inverse scattering problem for acoustic waves, including a brief discussi ..."
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Cited by 1061 (45 self)
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Abstract. This paper is a survey of the inverse scattering problem for timeharmonic acoustic and electromagnetic waves at fixed frequency. We begin by a discussion of “weak scattering ” and Newtontype methods for solving the inverse scattering problem for acoustic waves, including a brief
Numerical solution of initial boundary value problems involving Maxwell’s equations in isotropic media
 IEEE Trans. Antennas and Propagation
, 1966
"... The characteristics of the waves guided along a plane [I] P. S. Epstein, “On the possibility of electromagnetic surface waves, ” Proc. Nat’l dcad. Sciences, vol. 40, pp. 11581165, Deinterface which separates a semiinfinite region of free cember 1954. space from that of a magnetoionic medium are in ..."
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Cited by 1048 (0 self)
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are investi [2] T. Tamir and A. A. Oliner, “The spectrum of electromagnetic waves guided by a plasma layer, ” Proc. IEEE, vol. 51, pp. 317gated for the case in which the static magnetic field is 332, February 1963. oriented perpendicular to the plane interface. It is [3] &I. A. Gintsburg, “Surface waves
1 Visualizing EdgeConforming Discrete Field Quantities in Electromagnetic Field Problems with Interfaces
"... Finite elementbased electromagnetic field simulation strongly benefits from using edgeconforming representations of the electric field. In this paper we address the visualization of discrete field data resulting from such simulations on 10node quadratic tetrahedral grids. The use of higherorder ..."
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Finite elementbased electromagnetic field simulation strongly benefits from using edgeconforming representations of the electric field. In this paper we address the visualization of discrete field data resulting from such simulations on 10node quadratic tetrahedral grids. The use of higher
Inducing Features of Random Fields
 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 1997
"... We present a technique for constructing random fields from a set of training samples. The learning paradigm builds increasingly complex fields by allowing potential functions, or features, that are supported by increasingly large subgraphs. Each feature has a weight that is trained by minimizing the ..."
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Cited by 670 (10 self)
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We present a technique for constructing random fields from a set of training samples. The learning paradigm builds increasingly complex fields by allowing potential functions, or features, that are supported by increasingly large subgraphs. Each feature has a weight that is trained by minimizing
Markov Random Field Models in Computer Vision
, 1994
"... . A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is defined as the maximum a posteriori (MAP) probability estimate of the true labeling. The posterior probability is usually derived from a prior model and a likelihood model. The l ..."
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Cited by 516 (18 self)
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. The latter relates to how data is observed and is problem domain dependent. The former depends on how various prior constraints are expressed. Markov Random Field Models (MRF) theory is a tool to encode contextual constraints into the prior probability. This paper presents a unified approach for MRF modeling
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