steepest descent method मीनिंग इन हिंदी

उदाहरण वाक्य

1. An asymptotic evaluation is then possible along the lines of the linear stationary phase / steepest descent method.
2. Thus, every iteration of these steepest descent methods is a bit cheaper compared to that for the conjugate gradient methods.
3. In both the original and the preconditioned conjugate gradient methods one only needs to set \ beta _ k : = 0 in order to make them locally optimal, using the line search, steepest descent methods.
4. A ( properly speaking ) nonlinear steepest descent method was introduced by Kamvissis, K . McLaughlin and P . Miller in 2003, based on previous work of Lax, Levermore, Deift, Venakides and Zhou.
5. The mathematical explanation of the better convergence behavior of the method with the Polak Ribi�re formula is that the method is "'locally optimal "'in this case, in particular, it does not converge slower than the locally optimal steepest descent method.