GitHub

Matrix Calculus for Machine Learning and Beyond

We all know that calculus courses such as 18.01 and 18.02 are univariate and vector calculus, respectively. Modern applications such as machine learning and large-scale optimization require the next ...
IEEE

Differential and integral calculus for logical operations. A matrix–vector approach

Abstract: A variety of problems emerged investigating electronic circuits, computer devices and cellular automata motivated a number of attempts to create a differential and integral calculus for ...
GitHub

Matrix-Calculus-Operations-Calculator

Create an application with a Graphical User Interface (GUI) to provide an integrated operations and solutions calculator to solve the questions of students relating the field of mathematics with an ...
Scientific Research Publishing

A. Graham, “Kronecker Products and Matrix Calculus with Applications,” Ellis Horwood Ltd., New York, 1981.

ABSTRACT: In Kronecker products works, matrices are sometimes regarded as vectors and vectors are sometimes made in to matrices. To be precise about these reshaping we use the vector and diagonal ...
Scientific Research Publishing

J. R. Magnus and H. Neudecker, “Matrix Differential Calculus with Applications in Statistics and Econometrics,” John Wiley and Sons Ltd., New York, 1999.

ABSTRACT: In Kronecker products works, matrices are sometimes regarded as vectors and vectors are sometimes made in to matrices. To be precise about these reshaping we use the vector and diagonal ...
IEEE

FastLoad: Speeding Up Data Loading of Both Sparse Matrix and Vector for SpMV on GPUs

Abstract: Sparse Matrix-Vector Multiplication (SpMV) on GPUs has gained significant attention because of SpMV's importance in modern applications and the increasing computing power of GPUs in the last ...