Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing search ...
SIAM Journal on Numerical Analysis, Vol. 49, No. 5/6 (2011), pp. 2017-2038 (22 pages) General autonomous stochastic differential equations (SDEs) driven by one-dimensional Brownian motion in the ...
The RBF Orthogonal Gradients Method (OGr) allows us to compute differential operators restricted to general surfaces in R3 just by means of point clouds. It also benefits from RBFs' strengths: ...
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