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Found 2 papers, 1 papers with code
Universal halting times in optimization and machine learning
Given an algorithm, which we take to be both the optimization routine and the form of the random landscape, the fluctuations of the halting time follow a distribution that, after centering and scaling, remains unchanged even when the distribution on the landscape is changed.
Fast computation of Gauss quadrature nodes and weights on the whole real line
The algorithm is based on Newton's method with carefully selected initial guesses for the nodes and a fast evaluation scheme for the associated orthogonal polynomial.
Numerical Analysis
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