nonlinear evolution, and B is the M Ο« N dimensional noise term, which is a functional of , and multiplies an A robust semi-implicit central partial difference algorithm for the numerical solution of coupled stochastic parabolic partial differen-N dimensional real or complex Gaussian-distributed stot
An algorithm for solving partial differential parametric systems
β Scribed by Jimin Wang; Xiao-Shan Gao
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 243 KB
- Volume
- 136
- Category
- Article
- ISSN
- 0166-218X
No coin nor oath required. For personal study only.
β¦ Synopsis
For a partial di erential parametric system P1 = 0; : : : ; Pr = 0; Q1 = 0; : : : ; Qs = 0;
where Pi; Qj are di erential polynomials in K{u1; : : : ; ut; y1; : : : ; yn} and u k are parameters, an algorithm to solve the parametric system is presented in this paper. The algorithm ΓΏnds not just the values of the parameters u k such that the system has solutions, but also all solutions of this system.
π SIMILAR VOLUMES
TO THE MEMORY OF PASQUALE PORCELLI A successive approximation process for a class of nth order nonlinear partial differential equations on EV,, is given. Analytic solutions are found by iteration. The pairing between initial estimates and limiting functions forms a basis for the study of boundary co