A guide with examples for learning this key idea in options trading Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive ...

This paper considers the problem of pooling means of two independent random samples from discrete distributions (in particular Poisson and binomial) which can be approximated by normal distributions ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

First-order derivatives: n additional function calls are needed. Second-order derivatives based on gradient calls, when the "grd" module is specified (Dennis and Schnabel 1983): n additional gradient ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: Based on the far-field approximations, a deep learning-based method is proposed for millimeter-wave short-range imaging. By using convolutional neural networks, the distortions caused by the ...

Abstract: Diversity assessment of Pareto front approximations is an important issue in the stochastic multiobjective optimization community. Most of the diversity indicators in the literature were ...

Path A series of points joined by straight line segements. Bezier Curve A polynomial curve defined by a list of control points. The curve starts at the first control point and ends at the last one.

Classical conditioning is a way to learn using unconscious associations. Pavlov discovered classical conditioning when dogs started to salivate at the sound of a bell before they got food. The ...