A recent paper set the fastest record for multiplying two matrices. But it also marks the end of the line for a method researchers have relied on for decades to make improvements. For computer ...

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...

Linear algebra is rarely described as popular, but rarely does a mathematician portray it in a different, illuminating light. That is certainly one reason Gilbert Strang’s linear algebra lectures are ...

for some invertible matrix P and some diagonal matrix D. A beautiful result in linear algebra is that such a decomposition is possible if A has n linearly independent eigenvectors. Moreover, the ...

Bryan Shader joined the University of Wyoming faculty in 1990. He came to the University of Wyoming from the University of Wisconsin-Madison. His research interests include Linear Algebra, Matrix ...

for some invertible matrix P and some diagonal matrix D. A beautiful result in linear algebra is that such a decomposition is possible if A has n linearly independent eigenvectors. Moreover, the ...