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What is Matrix Differential Calculus Explained about?
This document provides definitions and rules for calculating derivatives of matrix-valued functions, including: 1. The gradient of a function f:Rn→Rm is defined as a matrix of partial derivatives arranged in a particular way. 2. The Hessian of a scalar-valued function f:Rn→R is defined as the matrix of second partial derivatives. 3. For vectorizing matrices, differentiating matrix-valued functions, and applying the chain and product rules, the Kronecker product and vec operator are introduced.
- Author
- Anonymous Y2ibaULes1
- Language
- EN