Unsupervised kernel least mean square algorithm for solving ordinary differential equations
β Scribed by Hadi Sadoghi Yazdi; Morteza Pakdaman; Hamed Modaghegh
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 695 KB
- Volume
- 74
- Category
- Article
- ISSN
- 0925-2312
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
We investigate the estimation of the mean first passage time of a stochastic differential equation by numerical methods. In order to determine the mean first passage time correctly, one needs a numerical procedure to generate trajectories which converge in the mean square limit to exact solutions of
A method of solving certain differential equations governing forced and free oscillations is proposed. The nonlinear differential equation governing such oscillations is linearized with the help of the Begenbauer polynomial approximation, and a one-term solution corresponding to the fundamental freq