cg_as_double

cg.node, placeholder for a numeric array.

character scalar, name of the operation (optional).

name

Coerce <code>x</code> to a one-dimensional numeric vector.

Allows to create, evaluate, and differentiate computational graphs in R. A computational graph is a graph representation of a multivariate function decomposed by its (elementary) operations. Nodes in the graph represent arrays while edges represent dependencies among the arrays. An advantage of expressing a function as a computational graph is that this enables to differentiate the function by automatic differentiation. The 'cgraph' package supports various operations including basic arithmetic, trigonometry operations, and linear algebra operations. It differentiates computational graphs by reverse automatic differentiation. The flexible architecture of the package makes it applicable to solve a variety of problems including local sensitivity analysis, gradient-based optimization, and machine learning.

cg_as_double: Coerce to a Numeric Vector

Description

Usage

Arguments

Value

See Also