Commonly, in Ordinary Differential Equations courses, equations with impulses or discontinuous forcing functions are studied. In this context, the Laplace Transform of the Dirac delta function and ...
The transfer function module has a number of transfer function classes for multivariate transfer functions (a base MultiVariateTransferFunction and a PlanckTransferFunction). They build OK, but it ...
Please see https://docs.rs/rootfinder. Licensed under either of Apache License, Version 2.0 or MIT license at your option. Unless you explicitly state otherwise, any ...
1 Institute of Mathematics, University of Lübeck, Lübeck, Germany 2 Institute of Mathematics, National Academy of Sciences of Ukraine, Kyiv, Ukraine This paper ...
Finding the extrema of a multivariable function is an essential skill in calculus and applied mathematics. This process allows you to determine the minima and maxima of a function across multiple ...
Abstract: Symbolic regression is aimed at discovering mathematical expressions, in symbolic form, that fit a given sample of data points. While genetic programming (GP) constitutes a powerful tool for ...
Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...
Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback