elimination_matrix0

<p>`n` integer, row or column dimension.</p>
<p>Use empty argument to clear the cache.</p>

Implements the forward-mode automatic differentiation for
multivariate functions using the matrix-calculus notation from Magnus and
Neudecker (2019) <doi:10.1002/9781119541219>. Two key features of the package
are: (i) it incorporates various optimisation strategies to improve performance;
this includes applying memoisation to cut down object construction time, using
sparse matrix representation to speed up derivative calculation, and creating
specialised matrix operations to reduce computation time; (ii) it supports
differentiating random variates with respect to their parameters, targeting
Markov chain Monte Carlo (MCMC) and general simulation-based applications.

Chun Fung Kwok

ADtools

Automatic Differentiation Toolbox

elimination_matrix0: Elimination matrix (memoised)

Description

Usage

Arguments