Gradient Descent: This article describes how to implement a gradient descent using the differential approach (2D example implementation), then, using the perturbation approach (3D example ...

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Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a discrete, simple barrier option is presented. The parameters for the ...

This paper describes a new algorithm for the selection of the pivot row in matrix inversion when using the product form of the inverse. This algorithm has been developed for linear programming codes; ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data. Linear ...

Abstract: The procedure for cleaning weak inequalities in the Fourier-Chernikov algorithm for convolution of a system of linear inequalities is considered. An algorithm for identifying all weak ...