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A linearly implicit conservative difference scheme is applied to discretize the attractive coupled nonlinear Schr\"odinger equations with fractional Laplacian. Complex symmetric linear systems can be obtained, and the system matrices are…

Numerical Analysis · Mathematics 2023-10-19 Yan Cheng , Xi Yang

We combine the newly-constructed Galerkin difference basis with the energy-based discontinuous Galerkin method for wave equations in second order form. The approximation properties of the resulting method are excellent and the allowable…

Numerical Analysis · Mathematics 2021-05-06 Lu Zhang , Daniel Appelö , Thomas Hagstrom

We present a paradigm for developing arbitrarily high order, linear, unconditionally energy stable numerical algorithms for gradient flow models. We apply the energy quadratization (EQ) technique to reformulate the general gradient flow…

Numerical Analysis · Mathematics 2020-07-15 Yuezheng Gong , Jia Zhao , Qi Wang

The new class of alternating-conjugate splitting methods is presented and analyzed. They are obtained by concatenating a given composition involving complex coefficients with the same composition but with the complex conjugate coefficients.…

Numerical Analysis · Mathematics 2025-12-19 J. Bernier , S. Blanes , F. Casas , A. Escorihuela-Tomàs

Energy preserving numerical methods for a certain class of PDEs are derived, applying the partition of unity method. The methods are extended to also be applicable in combination with moving mesh methods by the rezoning approach. These…

Numerical Analysis · Mathematics 2017-10-04 Sølve Eidnes , Torbjørn Ringholm

A high-order numerical method is developed for solving the Cahn-Hilliard-Navier-Stokes equations with the Flory-Huggins potential. The scheme is based on the $Q_k$ finite element with mass lumping on rectangular grids, the second-order…

Numerical Analysis · Mathematics 2024-07-24 Yali Gao , Daozhi Han , Sayantan Sarkar

We focus on the numerical approximation of the Cahn-Hilliard type equations, and present a family of second-order unconditionally energy-stable schemes. By reformulating the equation into an equivalent system employing a scalar auxiliary…

Fluid Dynamics · Physics 2018-03-19 Suchuan Dong , Zhiguo Yang , Lianlei Lin

Most real optimization problems are defined over a mixed search space where the variables are both discrete and continuous. In engineering applications, the objective function is typically calculated with a numerically costly black-box…

Optimization and Control · Mathematics 2022-05-04 Jhouben Cuesta-Ramirez , Rodolphe Le Riche , Olivier Roustant , Guillaume Perrin , Cedric Durantin , Alain Gliere

We propose finite-volume schemes for the Cahn-Hilliard equation which unconditionally and discretely preserve the boundedness of the phase field and the dissipation of the free energy. Our numerical framework is applicable to a variety of…

Numerical Analysis · Mathematics 2023-12-18 Rafael Bailo , José A. Carrillo , Serafim Kalliadasis , Sergio P. Perez

In this paper, we present and analyse a class of "filtered" numerical schemes for second order Hamilton-Jacobi-Bellman equations. Our approach follows the ideas introduced in B.D. Froese and A.M. Oberman, Convergent filtered schemes for the…

Numerical Analysis · Mathematics 2016-11-16 Olivier Bokanowski , Athena Picarelli , Christoph Reisinger

The paper describes two iterative algorithms for solving general systems of M simultaneous linear algebraic equations (SLAE) with real matrices of coefficients. The system can be determined, underdetermined, and overdetermined. Linearly…

Numerical Analysis · Mathematics 2025-10-20 A. S. Kondratiev , N. P. Polishchuk

We develop new numerical schemes for Vlasov--Poisson equations with high-order accuracy. Our methods are based on a spatially monotonicity-preserving (MP) scheme and are modified suitably so that positivity of the distribution function is…

Computational Physics · Physics 2017-11-08 Satoshi Tanaka , Kohji Yoshikawa , Takashi Minoshima , Naoki Yoshida

In this work, high order asymptotic preserving schemes are constructed and analysed for kinetic equations under a diffusive scaling. The framework enables to consider different cases: the diffusion equation, the advection-diffusion equation…

Numerical Analysis · Mathematics 2023-05-24 Megala Anandan , Benjamin Boutin , Nicolas Crouseilles

It is well known that for gradient systems in Euclidean space or on a Riemannian manifold, the energy decreases monotonically along solutions. In this letter we derive and analyse functionally fitted energy-diminishing methods to preserve…

Numerical Analysis · Mathematics 2018-04-17 Bin Wang , Ting Li , Yajun Wu

There are several well-established approaches to constructing finite difference schemes that preserve global invariants of a given partial differential equation. However, few of these methods preserve more than one conservation law locally.…

Numerical Analysis · Mathematics 2021-10-19 Gianluca Frasca-Caccia , Peter E. Hydon

We propose new linear combinations of compositions of a basic second-order scheme with appropriately chosen coefficients to construct higher order numerical integrators for differential equations. They can be considered as a generalization…

Numerical Analysis · Mathematics 2024-04-25 Sergio Blanes , Fernando Casas , Luke Shaw

We present new linear energy-stable numerical schemes for numerical simulation of complex polymer-solvent mixtures. The mathematical model proposed by Zhou, Zhang and E (Physical Review E 73, 2006) consists of the Cahn-Hilliard equation…

Numerical Analysis · Mathematics 2018-12-07 Paul J. Strasser , Giordano Tierra , Burkhard Dünweg , Mária Lukáčová-Medvid'ová

In this paper, we propose a geometric integrator for nonholonomic mechanical systems. It can be applied to discrete Lagrangian systems specified through a discrete Lagrangian defined on QxQ, where Q is the configuration manifold, and a…

Numerical Analysis · Mathematics 2009-11-13 S. Ferraro , D. Iglesias , D. Martín de Diego

In this article we develop a high order accurate method to solve the incompressible boundary layer equations in a provably stable manner.~We first derive continuous energy estimates,~and then proceed to the discrete setting.~We formulate…

Numerical Analysis · Mathematics 2023-06-06 Mojalefa P. Nchupang , Arnaud G. Malan , Fredrik Laurén , Jan Nordström

This paper presents an energy-preserving machine learning method for inferring reduced-order models (ROMs) by exploiting the multi-symplectic form of partial differential equations (PDEs). The vast majority of energy-preserving…

Machine Learning · Computer Science 2024-09-17 Süleyman Yıldız , Pawan Goyal , Peter Benner
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