Kids in elementary school learn—or are supposed to learn—how to add fractions and round numbers. But many students at the University of California, San Diego—a top public university ranked sixth ...

Abstract: We present a model-predictive control (MPC) framework for legged robots that avoids the singularities associated with common three-parameter attitude representations like Euler angles during ...

Neither a list of theorems and proofs nor a recipe for elementary matrix calculations, this textbook acquaints the student of applied mathematics with the concepts of linear algebra — why they are ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations. Different books cater to various needs. Some focus on ...

Matrix Muncher allows you to quickly perform operations and undo changes on your matrix as needed. It is focused on being both lenient with your inputs while also letting you make quick, back-to-back ...

Prerequisites: Graduate standing or consent of instructor. Many students find this course difficult, so a first-rate math background is highly recommended. See the Review Sheet for material you're ...

Most linear algebra courses start by considering how to solve a system of linear equations. \[ \begin{align} a_{0,0}x_0 + a_{0,1}x_0 + \cdots a_{0,n-1}x_0 & = b_0 ...

A tug of war in San Francisco over whether to teach algebra in eighth or ninth grade gets at wider national questions about serving all students fairly. By Soumya Karlamangla How to make algebra ...