Adaptive numerical methods for solving {PDE}sDeVore, R A
Laecio C.de BarrosInstitute of MathematicsESFuzzy Sets & SystemsG. P. Silveira and L. C. De Barros, "Numerical methods integrated with fuzzy logic and stochastic method for solving PDEs: An application to dengue," Fuzzy Sets Syst., vol. 225, pp. 39-57, 2013....
we will introduce and discuss the current developments of two most effective and efficient numerical methods for solving general inverse problems of PDEs,namely,sampling type methods (DSMs) and adaptive finite element methods.These research projects were supported by Hong Kong RGC General Research Fund...
The biggest advantage of using numerical methods for solving PDEs is that one can solve almost any available model equation. On the other hand, in comparison with analytical solutions, the numerical computations are time-consuming and must be conducted with special care. When using models with conc...
Numerical Methods in Engineering and Science The numerical methods are generated to solve (1) which is a standard algorithm for ordinary differential equations and Newton-Cote integration formulae are required for solving the integral part since it cannot be solved explicitly. Solving Volterra Integrodi...
当当中华商务进口图书旗舰店在线销售正版《海外直订Numerical Methods for Pdes: State of the Art Techniques 偏微分方程的数值方法:最新技术》。最新《海外直订Numerical Methods for Pdes: State of the Art Techniques 偏微分方程的数值方法:最新技术》简介、书评、试
Computational Science & Engineering(共32册),这套丛书还有 《Vector Extrapolation Methods with Applications》《Nonlocal Integral Equation Continuum Models》《A First Course on Numerical Methods》《Mathematical Theory of Finite Elements》《Solving PDEs in C++ (Computational Science and Engineering)》等。 我...
南方科技大学 South University of Science and Technology of China Efficient and accurate numerical methods for solving fractional PDEs 讲座论坛 0 2018-01-11 15:00 Conference Room 415, Wisdom Valley3#
ThisbookteachesC++andusesittosolvepartialdifferentialequations(PDEs). Basic and advanced numerical methods are introduced and implemented easily and efficiently in a unified object-oriented approach. The powerful features and advanced tools available in C++ are particularly useful for implementing the complex...
Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations 来自 Springer 喜欢 1 阅读量: 1205 作者:E, Weinan,J Han,A Jentzen 摘要: We study a new algorithm for solving parabolic partial differential equations (PDEs) ...