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Open AccessJournal ArticleDOI

Convergence of meshfree collocation methods for fully nonlinear parabolic equations

Yumiharu Nakano
- 01 Jul 2017 - 
- Vol. 136, Iss: 3, pp 703-723
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TLDR
It is proved that the convergence of meshfree collocation methods for the terminal value problems of fully nonlinear parabolic partial differential equations in the framework of viscosity solutions can be proved.
Abstract
We prove the convergence of meshfree collocation methods for the terminal value problems of fully nonlinear parabolic partial differential equations in the framework of viscosity solutions, provided that the basis function approximations of the terminal condition and the nonlinearities are successful at each time step. A numerical experiment with a radial basis function demonstrates the convergence property.

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Citations
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Journal ArticleDOI

Hamilton–Jacobi–Bellman Quasi-Variational Inequality arising in an environmental problem and its numerical discretization

TL;DR: A finite difference scheme with a penalization technique is established for solving the HJBQVI, which is free from any iterative solvers and is unconditionally stable and convergent in the viscosity sense under certain conditions.
Journal ArticleDOI

Kernel-based collocation methods for Zakai equations

TL;DR: In this article, the authors examined an application of the kernel-based interpolation to numerical solutions for Zakai equations in nonlinear filtering, and aim to prove its rigorous convergence by finding the class of kernels and the structure of collocation points explicitly under which the process of iterative interpolation is stable.
Journal ArticleDOI

Mesh-free error integration in arbitrary dimensions: A numerical study of discrepancy functions

TL;DR: A numerical study of the error discrepancy function based on a comparison between several numerical strategies, when one varies the choice of the kernel, the number of approximation points, and the dimension of the problem.
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Kernel-based collocation methods for Zakai equations

TL;DR: This work finds the class of kernels and the structure of collocation points explicitly under which the process of iterative interpolation is stable, and shows that the approximation error is bounded by the order of the square root of the time step and the error that comes from a single step interpolation.
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Inverse stochastic optimal controls

TL;DR: In this article, an inverse problem of the stochastic optimal control of general diffusions with performance index having the quadratic penalty term of the control process is studied, and a numerical method for the inverse problem by replacing the expectation above with arithmetic mean of observed optimal control processes and the corresponding state processes is proposed.
References
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