Abstract: Sparse linear algebra is a key component of many scientific computations such as computational fluid dynamics, mechanical engineering or the design of new materials to mention only a few.
A small utility program in Python (pygame + numpy) to visualize concepts of linear transformations. Watch 3Blue1Brown for a nice introduction. There is now an online version of this program using ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
*Note: This course discription is only applicable to the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.
ABSTRACT: In this paper, we discuss least squares symmetrizable solutions of matrix equations (AX = B, XC = D) and its optimal approximation solution. With the matrix row stacking, Kronecker product ...
Abstract: Perhaps the most critical sparse linear algebra operation is the product of a sparse matrix and a dense vector, known as SpMV. This motivates the high-performance computing community to make ...
Solving linear programming problems in a spreadsheet yields equations for maximizing business profits. As applied to business, linear programming typically involves an objective formula, such as unit ...
This asynchronous online bridge course is specifically designed to help students satisfy the linear algebra admissions requirements for Michigan Tech's Online MS in Applied Statistics, an innovative ...
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