Search Results - "Gottlieb, Sigal"

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  1. 1

    STRONG STABILITY PRESERVING INTEGRATING FACTOR RUNGE–KUTTA METHODS by ISHERWOOD, LEAH, GRANT, ZACHARY J., GOTTLIEB, SIGAL

    Published in SIAM journal on numerical analysis (01-01-2018)
    “…Strong stability preserving (SSP) Runge–Kutta methods are often desired when evolving in time problems that have two components that have very different time…”
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    High Order Strong Stability Preserving Time Discretizations by Gottlieb, Sigal, Ketcheson, David I., Shu, Chi-Wang

    Published in Journal of scientific computing (01-03-2009)
    “…Strong stability preserving (SSP) high order time discretizations were developed to ensure nonlinear stability properties necessary in the numerical solution…”
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    Explicit strong stability preserving multistep Runge--Kutta methods by BRESTEN, CHRISTOPHER, GOTTLIEB, SIGAL, GRANT, ZACHARY, HIGGS, DANIEL, KETCHESON, DAVID I., NÉMETH, ADRIAN

    Published in Mathematics of computation (01-03-2017)
    “…High-order spatial discretizations of hyperbolic PDEs are often designed to have strong stability properties, such as monotonicity. We study explicit multistep…”
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    Optimal explicit strong stability preserving Runge--Kutta methods with high linear order and optimal nonlinear order by GOTTLIEB, SIGAL, GRANT, ZACHARY, HIGGS, DANIEL

    Published in Mathematics of computation (01-11-2015)
    “…linear order exist. These methods reduce to second order when applied to nonlinear problems. In the current work we aim to find explicit SSP Runge-Kutta…”
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  7. 7

    Strong Stability-Preserving High-Order Time Discretization Methods by Gottlieb, Sigal, Shu, Chi-Wang, Tadmor, Eitan

    Published in SIAM review (01-03-2001)
    “…In this paper we review and further develop a class of strong stability-preserving (SSP) high-order time discretizations for semidiscrete method of lines…”
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  8. 8

    Total variation diminishing Runge-Kutta schemes by Gottlieb, Sigal, Shu, Chi-Wang

    Published in Mathematics of computation (01-01-1998)
    “…In this paper we further explore a class of high order TVD (total variation diminishing) Runge-Kutta time discretization initialized in a paper by Shu and…”
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  9. 9

    A Review of David Gottlieb’s Work on the Resolution of the Gibbs Phenomenon by Gottlieb, Sigal, Jung, Jae-Hun, Kim, Saeja

    Published in Communications in computational physics (01-03-2011)
    “…Given a piecewise smooth function, it is possible to construct a global expansion in some complete orthogonal basis, such as the Fourier basis. However, the…”
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  10. 10

    Stability and Convergence Analysis of Fully Discrete Fourier Collocation Spectral Method for 3-D Viscous Burgers’ Equation by Gottlieb, Sigal, Wang, Cheng

    Published in Journal of scientific computing (01-10-2012)
    “…This paper analyzes the stability and convergence of the Fourier pseudospectral method coupled with a variety of specially designed time-stepping methods of up…”
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  11. 11

    An EIM-degradation free reduced basis method via over collocation and residual hyper reduction-based error estimation by Chen, Yanlai, Gottlieb, Sigal, Ji, Lijie, Maday, Yvon

    Published in Journal of computational physics (01-11-2021)
    “…•We present an efficient reduced basis method for nonlinear and nonaffine steady state or transient PDEs.•A new and efficiently implementable error estimator…”
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    On High Order Strong Stability Preserving Runge–Kutta and Multi Step Time Discretizations by Gottlieb, Sigal

    Published in Journal of scientific computing (01-10-2005)
    “…Strong stability preserving (SSP) high order time discretizations were developed for solution of semi-discrete method of lines approximations of hyperbolic…”
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    Supercomputing-Enabled Advances in Science and Engineering by Gottlieb, Sigal, Khanna, Gaurav

    Published in Computing in science & engineering (01-07-2018)
    “…This special issue of CiSE offers readers a taste of the range of advances enabled by supercomputing. The articles feature applications in astrophysics, engine…”
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  14. 14

    A general linear method approach to the design and optimization of efficient, accurate, and easily implemented time-stepping methods in CFD by DeCaria, Victor, Gottlieb, Sigal, Grant, Zachary J., Layton, William J.

    Published in Journal of computational physics (15-04-2022)
    “…•We present new methods for time accurate simulations of fluids.•The new methods can be easily implemented in codes based on commonly used methods.•The new…”
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    Strong Stability Preserving Integrating Factor Two-Step Runge–Kutta Methods by Isherwood, Leah, Grant, Zachary J., Gottlieb, Sigal

    Published in Journal of scientific computing (01-12-2019)
    “…Problems with components that feature significantly different time scales, where the stiff time-step restriction comes from a linear component,…”
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    A Fourier pseudospectral method for the "good" Boussinesq equation with second-order temporal accuracy by Cheng, Kelong, Feng, Wenqiang, Gottlieb, Sigal, Wang, Cheng

    “…In this article, we discuss the nonlinear stability and convergence of a fully discrete Fourier pseudospectral method coupled with a specially designed…”
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    Reduced Collocation Methods: Reduced Basis Methods in the Collocation Framework by Chen, Yanlai, Gottlieb, Sigal

    Published in Journal of scientific computing (01-06-2013)
    “…In this paper, we present the first reduced basis method well-suited for the collocation framework. Two fundamentally different algorithms are presented: the…”
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    Explicit and implicit error inhibiting schemes with post-processing by Ditkowski, Adi, Gottlieb, Sigal, Grant, Zachary J.

    Published in Computers & fluids (15-08-2020)
    “…•Defines conditions that result in an exact form of the leading error term.•Explicitly constructs a post-processor that extracts higher order.•Finds methods…”
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    Explicit Strong Stability Preserving Multistage Two-Derivative Time-Stepping Schemes by Christlieb, Andrew J., Gottlieb, Sigal, Grant, Zachary, Seal, David C.

    Published in Journal of scientific computing (01-09-2016)
    “…High order strong stability preserving (SSP) time discretizations are advantageous for use with spatial discretizations with nonlinear stability properties for…”
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    Implicit and Implicit–Explicit Strong Stability Preserving Runge–Kutta Methods with High Linear Order by Conde, Sidafa, Gottlieb, Sigal, Grant, Zachary J., Shadid, John N.

    Published in Journal of scientific computing (01-12-2017)
    “…Strong stability preserving (SSP) time discretizations preserve the monotonicity properties satisfied by the spatial discretization when coupled with the first…”
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