Advancements in Numerical Methods for Partial Differential Equations

The field of numerical methods for partial differential equations is experiencing significant growth, with a focus on developing efficient and accurate algorithms for solving complex problems. Recent research has concentrated on improving spectral methods, introducing new techniques for handling non-periodic boundaries, and exploring the application of fractional calculus. Notably, the development of fast multipole methods and hybrid shifted Gegenbauer integral-pseudospectral methods has shown great promise in solving problems with high accuracy and efficiency.

Noteworthy papers include: The paper on Fourier Spectral Methods for Block Copolymer Systems on Sphere, which demonstrates the effectiveness of the OK model in real-world applications. The paper on Non-periodic Fourier propagation algorithms for partial differential equations, which presents a method that can treat vector fields with a combination of Dirichlet and/or Neumann boundary conditions in one or more space dimensions. The paper on Hybrid Shifted Gegenbauer Integral-Pseudospectral Method for Solving Time-Fractional Benjamin-Bona-Mahony-Burgers Equation, which achieves spectral accuracy and outperforms existing numerical approaches.

Sources

Fourier Spectral Methods for Block Copolymer Systems on Sphere

Barenblatt solutions for the time-fractional porous medium equation: approach via integral equations

Spectral element methods for boundary-value problems of functional differential equations

Non-periodic Fourier propagation algorithms for partial differential equations

Fast multipole method for the Laplace equation in half plane with Robin boundary condition

Numerical Methods for Solving Nonlinearly Coupled Poisson Equations in Dual-Continuum Modeled Porous Electrodes

Hybrid Shifted Gegenbauer Integral-Pseudospectral Method for Solving Time-Fractional Benjamin-Bona-Mahony-Burgers Equation

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