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We also investigate techniques for improving convergence rates by means of some suitable choices of the function f.
We then develop strategies for constructing designs and investigate techniques for improving convergence rates by using the properties of the directional derivatives of the criterion function.
We also derive quasi Pareto-optimal cuts for improving convergence and propose a Benders decomposition scheme to solve our RSCP problem.
We propose two methods for reducing the errors associated with the discontinuity and improving convergence with respect to the regularization parameter.
Furthermore, the new set of functions is found to be particularly capable in improving convergence of solutions, especially when there is a large crack.
Applications are given to problems in sub-Riemannian geometry, and to improving convergence estimates for the Campbell-Baker-Hausdorff-Dynkin formula in the context of Banach algebras.
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This seems to improve convergence.
This improves convergence to the trim condition.
Enabling this feature typically improves convergence with respect to the number of G-vectors.
Enabling this feature may improve convergence with respect to the number of G-vectors.
A comparison of initialization schemes indicates that the SOCP-based approach offers improved convergence rate, execution time and solution quality.
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