Performance measurement and data base design
Alfonso P. Cardenas, Larry F. Bowman, et al.
ACM Annual Conference 1975
We discuss a nonlinear difference scheme for approximating the solution of the initial value problem for linear partial differential equations. At each time step of the calculation the method proceeds by processing the data and determining the best possible scheme to use for that step, according to an optimization criterion to be described. We show that the method is stable and convergent applicating it on the heat equation. In all cases considered the nonlinear method was more accurate than the classical methods. © 1973 Springer-Verlag.
Alfonso P. Cardenas, Larry F. Bowman, et al.
ACM Annual Conference 1975
S.F. Fan, W.B. Yun, et al.
Proceedings of SPIE 1989
Sonia Cafieri, Jon Lee, et al.
Journal of Global Optimization
Xiaozhu Kang, Hui Zhang, et al.
ICWS 2008