We investigate a novel adaptive choice rule of the Tikhonov regularization parameter in numerical differentiation which is a classic ill-posed problem. By assuming a ...
We demonstrate the flexibility and ease of use of C++ algorithmic differentiation (AD) tools based on overloading through application to numerical patterns (kernels) arising in computational finance.
Earlier D.Đ. Tošić obtained an infinite series representation for the central difference operator ${\delta _\theta }f\left( z \right) = f\left( {z' + \frac{1}{2}h ...
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