Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

The job title Quant is ubiquitously used. That makes it a dynamic, exciting and dynamic discipline, but one which also can ...

Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...

This course gives a thorough introduction to linear algebra with emphasis on vector spaces, linear maps, spectral theory, orthogonality and applications of this theory. MATLAB is used for ...

latex linear-algebra matrix-algebra. Updated Feb 24, 2025; TeX; quil-lang / magicl. Star 246. Code Issues Pull requests Matrix Algebra ... Matrix Algebra, Free Electron Theory, Number Theory etc.

Advances in Linear Algebra & Matrix Theory Vol.11 No.4, November 16, 2021 DOI: 10.4236/alamt.2021.114009. Open Access. Representations of Ten-Dimensional Levi Decomposition Lie Algebras. Narayana ...

A study of data from 2,000 students highlights the best strategies for catching kids up and ensuring they pass this key subject.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

In this paper, the issue of stabilization is investigated for the discrete-time linear system with time-variant state delays and distinct input delays. The trivariant fundamental matrix is adopted to ...

At present, Symmetric Positive Definite (SPD) matrix data is the most common non-Euclidean data in machine learning. Because SPD data don’t form a linear space, most machine learning algorithms can ...

Advances in Linear Algebra & Matrix Theory Vol.8 No.2, June 25, 2018 DOI: 10.4236/alamt.2018.82009. Open Access Fermat and Pythagoras Divisors for a New Explicit Proof of Fermat’s Theorem:a 4 + b 4 = ...

Linear Algebra Matrices and systems of linear equations, the Euclidean space of three dimensions and other real vector spaces, ... Graph Theory and Number Theory. We will study the linear algebra ...