The Eisenhower Matrix can offer several benefits that help you save time and energy, thus reducing stress overall: Prioritizing what really matters: This method helps you get the most important things ...

From Tzuong-Tsieng Moh, a seasoned expert in algebra, comes a new book for students to better understand linear algebra. Writing from an experienced standpoint, Moh covers the many standard aspects ...

Abstract: In this article, the existing approaches, including numerical algorithms as well as neural networks to solve dynamic linear matrix equations, have been presented and reviewed. Specifically, ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

This course aims to develop your knowledge in the mathematics topics of linear algebra and calculus, which provides the basic mathematics foundation that is necessary for anyone pursuing a computing ...

In our joint work, by introducing Quasi Block-Pulse (QBP) functions, we provide integration and stochastic integration operational matrices based on scaling function of Daubechies wavelet to solve ...

This is a brief list of packages relevant when solving partial differential equations with Julia. The information is mostly gleaned from repositories of packages or from published reports or articles.

The generalized Sylvester matrix equation is solved using the scaled ADMM in a composite optimization approach in this paper. The theoretical analysis provides optimality conditions and stopping ...

Structural mechanics is commonly modeled by (systems of) partial differential equations (PDEs). Except for very simple cases where analytical solutions exist, the use of numerical methods is required ...