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Saturday, April 25, 2020 | History

2 edition of Quasi-Newton and multigrid methods for semiconductor device simulation found in the catalog.

Quasi-Newton and multigrid methods for semiconductor device simulation

Sumantri Slamet

Quasi-Newton and multigrid methods for semiconductor device simulation

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  • 17 Currently reading

Published by Dept. of Computer Science, University of Illinois at Urbana-Champaign in Urbana, Ill. (1304 W. Springfield Ave., Urbana 61801) .
Written in English

    Subjects:
  • Metal oxide semiconductor field-effect transistors -- Mathematical models.

  • Edition Notes

    Statementby Sumantri Slamet.
    SeriesReport / Department of Computer Science, University of Illinois at Urbana-Champaign ;, no. UIUCDCS-R-83-1154, Report (University of Illinois at Urbana-Champaign. Dept. of Computer Science) ;, no. UIUCDCS-R-83-1154.
    Classifications
    LC ClassificationsQA76 .I4 no. 1154, TK7871.95 .I4 no. 1154
    The Physical Object
    Paginationv, 74 p. :
    Number of Pages74
    ID Numbers
    Open LibraryOL3002851M
    LC Control Number84621977

    2. 3. 4. 4. PHL PHL PHP Science and Technology of Thin Films Semiconductor Device Technology Solid State Materials Laboratory-II Programme Elective-II Open Elective-I Total Credits Semester III 1. 2. 3. PHD Major Project Part 1 Open Elective-II Programme Elective - III # Total Credits Semester IV 1. A Complete Bibliography of Publications in Computing Nelson H. F. Beebe University of Utah Department of Mathematics, LCB S E RM Salt Lake City, UT USA Tel: +1 FAX: +1 E-mail: [email protected], [email protected], [email protected][email protected], [email protected], [email.


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Quasi-Newton and multigrid methods for semiconductor device simulation by Sumantri Slamet Download PDF EPUB FB2

() A Quasi-Newton Preconditioned Newton–Krylov Method for Robust and Efficient Time-Domain Simulation of Integrated Circuits With Strong Parasitic Couplings.

IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsCited by: Continuation methods in semiconductor device simulation. Continuation Techniques and Bifurcation Problems, () Numerical Determination of an Emanating Branch of Hopf Bifurcation Points in a Two-Parameter by: A key contribution of this paper is to introduce an effective quasi-Newton preconditioning scheme for Krylov-subspace methods to reduce the number and cost of LU factorization during an entire.

A quasi-Newton preconditioned Newton-Krylov method for robust and efficient time-domain simulation of integrated circuits with strong parasitic couplings quasi-Newton methods as useful. A comparison of various quasi-Newton schemes for partitioned fluid-structure interaction.

In: Proceedings of 6th International Conference on Computational Methods for Coupled Problems in Science and Engineering, Venice, pp. 1–12 () Google ScholarAuthor: David Blom, Florian Lindner, Miriam Mehl, Klaudius Scheufele, Benjamin Uekermann, Alexander van Zuij. namics can be interpreted as a quasi-Newton method.

This insight enables very efficient simulation of a large class of hyperelastic materials, including the Neo-Hookean, spline-based materials, and others. The quasi-Newton interpretation also allows us to leverage ideas from numerical optimization. In File Size: 6MB. Krylov subspace methods: Introduction to Krylov subspace, Arnoldi’s method, GMRES method, Conjugate gradient algorithm, Lanczos Algorithm.

Convergence & Preconditioners: Convergence check for Krylov subspace methods, Preconditioned CG, ILU preconditioner, Approximate inverse preconditioners, Multigrid methods. The signature feature of QuantumATK is simulation of device systems. While most DFT device simulation codes have been constructed on top of an electronic struc-ture code that was designed for simulating bulk systems, QuantumATK has been designed from scratch to achieve the highest accuracy and performance for both bulk and device by:   python c pdf parallel-computing scientific-computing partial-differential-equations ordinary-differential-equations petsc krylov multigrid variational-inequality advection newtons-method preconditioning supercomputing finite-element-methods finite-difference-schemes fluid-mechanics obstacle-problem firedrake algebraic-multigrid.

Laux S and Byrnes R () Semiconductor device simulation using generalized mobility models, IBM Journal of Research and Development,(), Online publication date: 1-May Schmidt J, Hoyer W and Haufe C () Consistent approximations in Newton-type decomposition methods, Numerische Mathematik,(), Online.

Evaluation of Multigrid as a Solver for Stress Analysis Problems in Semiconductor Process Simulation, Slobodan Mijalkovi\'c, Multigrid Methods VI: Proceedings of the Sixth European Multigrid Conference Held Gent, Belgium, September, Erik Dick, Kris Riemslagh, Jan Vierendeels, In this paper the authors discuss the use of multigrid preconditioning inside a semiconductor device modeling code, DANCIR.

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Numerical solution of systems of nonlinear equations, and unconstrained optimization problems. Newton's method, Quasi-Newton methods, secant methods, and conjugate gradient algorithms. Students with credit for MATH or may not take APMA for further credit.

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