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A new least square based reproducing kernel space method for solving regular and weakly singular 1D Volterra-Fredholm integral equations with smooth and nonsmooth solutions
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  • Minqiang Xu,
  • Jing Niu,
  • Emran Tohidi,
  • Jinjiao Hou
Minqiang Xu
Zhejiang University of Technology
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Jing Niu
Harbin Normal University
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Emran Tohidi
Ton Duc Thang University
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Jinjiao Hou
Harbin Normal University - Songbei Campus
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Based on the least square method, we proposed a new algorithm to obtain the solution of the second kind regular and weakly singular Volterra-Fredholm integral equations in reproducing kernel spaces. The stability and uniform convergence of the algorithm are investigated in details. Numerical experiments verify the theoretical findings. Meanwhile this method is also applicable to the nonlinear Volterra integral equations. Test problems which have non-smooth solutions are also considered and our proposed method is efficient as some recent Krylov subspace methods such as LSQR and LSMR.

Peer review status:UNDER REVIEW

10 Aug 2020Submitted to Mathematical Methods in the Applied Sciences
11 Aug 2020Assigned to Editor
11 Aug 2020Submission Checks Completed
16 Aug 2020Reviewer(s) Assigned