Boying Wu

ORCID: 0000-0003-3985-3783
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Research Areas
  • Fractional Differential Equations Solutions
  • Differential Equations and Numerical Methods
  • Numerical methods in engineering
  • Numerical methods for differential equations
  • Advanced Mathematical Modeling in Engineering
  • Advanced Numerical Methods in Computational Mathematics
  • Iterative Methods for Nonlinear Equations
  • Numerical methods in inverse problems
  • Nonlinear Differential Equations Analysis
  • Advanced Optimization Algorithms Research
  • Differential Equations and Boundary Problems
  • Model Reduction and Neural Networks
  • Medical Image Segmentation Techniques
  • Computational Fluid Dynamics and Aerodynamics
  • Matrix Theory and Algorithms
  • Electromagnetic Simulation and Numerical Methods
  • Mathematical functions and polynomials
  • Nonlinear Waves and Solitons
  • Optimization and Variational Analysis
  • Nonlinear Partial Differential Equations
  • Stability and Controllability of Differential Equations
  • Sparse and Compressive Sensing Techniques
  • Solidification and crystal growth phenomena
  • Magnetic Properties and Applications
  • Orbital Angular Momentum in Optics

Harbin Institute of Technology
2015-2024

Heilongjiang Institute of Technology
2012-2022

Changshu Institute of Technology
2020-2022

Hubei Engineering University
2022

University of South Florida
2020

10.1016/j.cam.2012.11.002 article EN publisher-specific-oa Journal of Computational and Applied Mathematics 2012-11-07

10.1016/j.aml.2015.10.009 article EN publisher-specific-oa Applied Mathematics Letters 2015-10-27

This study investigates Dirichlet boundary condition related to a class of nonlinear parabolic problem with nonnegative $L^1$-data, which has variable-order fractional $p$-Laplacian operator. The existence and uniqueness renormalized solutions entropy the equation is proved. To address significant challenges encountered during this process, we use approximation energy methods. In process proving, well-posedness weak been established initially, while also establishing comparative result solutions.

10.48550/arxiv.2501.04326 preprint EN arXiv (Cornell University) 2025-01-08

10.1016/j.nonrwa.2011.04.015 article EN Nonlinear Analysis Real World Applications 2011-05-21

10.1016/j.aml.2017.08.020 article EN publisher-specific-oa Applied Mathematics Letters 2017-09-14

10.1016/j.amc.2020.125276 article EN Applied Mathematics and Computation 2020-04-16

Journal Article Superconvergence of the local discontinuous Galerkin method for linear fourth-order time-dependent problems in one space dimension Get access Xiong Meng, Meng * Department Mathematics, Harbin Institute Technology, Harbin, Heilongjiang 150001, People's Republic China *Corresponding author: xiongmeng@hit.edu.cn Search other works by this author on: Oxford Academic Google Scholar Chi-Wang Shu, Shu Division Applied Brown University, Providence, RI 02912, USA, shu@dam.brown.edu...

10.1093/imanum/drr047 article EN IMA Journal of Numerical Analysis 2012-01-10

In this article, we introduce a new space‐time spectral collocation method for solving the one‐dimensional sine‐Gordon equation. We apply discretizing spatial derivatives, and then use time integration of resulting nonlinear second‐order system ordinary differential equations (ODE). Our formulation has high‐order accurate in both space time. Optimal priori error bounds are derived L 2 ‐norm semidiscrete formulation. Numerical experiments show that our have exponential rates convergence ©...

10.1002/num.21910 article EN Numerical Methods for Partial Differential Equations 2014-07-24

This paper is devoted to a new numerical method for fractional Riccati differential equations. The combines the reproducing kernel and quasilinearization technique. Its main advantage that it can produce good approximations in larger interval, rather than local vicinity of initial position. Numerical results are compared with some existing methods show accuracy effectiveness present method.

10.1155/2014/970967 article EN cc-by Abstract and Applied Analysis 2014-01-01

The main aim of this paper is to propose a new approach for Atangana-Baleanu variable order fractional problems. We introduce reproducing kernel function with polynomial form. advantage that its derivatives can be calculated explicitly. Based on function, collocation technique developed problems in the sense. To show accuracy and effectiveness our approach, we provide three numerical experiments.

10.3934/math.2020151 article EN cc-by AIMS Mathematics 2020-01-01

10.1007/s10589-012-9460-4 article EN Computational Optimization and Applications 2012-02-09
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