Partition functions, which enumerate the distinct ways a positive integer may be expressed as a sum of positive integers, have long captivated mathematicians due to their deep connections with number ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Move the point T along the graph of y=sin(x) by moving the slider. The slope function (derivative) is then traced out in blue. Can you identify the graph of the derivative? This is a Java Applet ...

Derivatives, financial instruments whose value derives from an underlying asset, serve diverse purposes in global markets. They enable investors to hedge risks, speculate on price movements and ...

A tax wedge is the difference between before-tax and after-tax wages. It also refers to the market inefficiency that is created when a good is taxed.

The financial market system in India can be broadly classified into two areas: the cash segment and the derivative segment. The cash segment has always been an investor favourite. However, India has ...

Abstract: Various computational problems can be reduced to computing the marginals and the partition function of a suitably defined standard factor graph (S-FG). The sum-product algorithm (SPA) is an ...

This library contains a pure-Python implementation of the HMAC-based key derivation function (HKDF) as specified in RFC 5869. The order and names of arguments within the function signatures in this ...

Abstract: The artificial potential function (APF) is a widely applied algorithm in collision-free formation control in multiagent systems (MASs). However, it suffers from oscillations and acceleration ...

This is a reference implementation and will not be actively maintained in the future. The code in this repository is a refactored version of the codebase we used to produce the results in the paper ...

In the context of the rapid development of computer hardware and the continuous improvement of the artificial intelligence and deep learning theory, aiming at the traditional numerical solution method ...