Which Branch of Mathematics Is Most Widely Used in Engineering?

Find out why the most popular mathematical subjects in engineering in 2026 are calculus and linear algebra. Discover how ...
IEEE

Analog Matrix Inversion Circuit Design for Solving Tridiagonal Linear Systems: A Compact and Decoupled Approach

Abstract: Recently, analog matrix inversion circuits (INV) have demonstrated significant advantages in solving matrix equations. However, solving large-scale sparse tridiagonal linear systems (TLS) ...
IEEE

Matrix-vector multiplication and triangular linear solver using GPGPU for symmetric positive definite matrices derived from elliptic equations

Abstract: The modern GPUs are well suited for intensive computational tasks and massive parallel computation. Sparse matrix multiplication and linear triangular solver are the most important and ...
GitHub

Finite Difference Solver for Chromatography Equations

This project offers functions and an example to simulate chromatography of multiple components using a transport dispersive model and supports Hery, Langmuir and SMA as isotherm models for the ...
GitHub

This is a Poisson 2D equation Python solver using FEM.

-(a(x)u'(x))' = f(x) for all x belongs to I = (0,1) a(x)u'(0) = k_0(u(0) - g_0) -a(x)u'(1) = k_1(u(1) - g_1) Which is Robin general boundry condition (BC). If k_i = 0, this implies Neumann BC (in the ...
Frontiers

Retrieving interpretability to support vector machine regression models in dynamic system identification

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...