The MulExpression class.

Source: R/expressions.R, R/affine.R

This class represents the matrix product of two linear expressions. See Multiply for the elementwise product.

# S4 method for class 'Expression,Expression'
x %*% y

# S4 method for class 'Expression,ConstVal'
x %*% y

# S4 method for class 'ConstVal,Expression'
x %*% y

# S4 method for class 'MulExpression'
to_numeric(object, values)

# S4 method for class 'MulExpression'
dim_from_args(object)

# S4 method for class 'MulExpression'
is_atom_convex(object)

# S4 method for class 'MulExpression'
is_atom_concave(object)

# S4 method for class 'MulExpression'
is_atom_log_log_convex(object)

# S4 method for class 'MulExpression'
is_atom_log_log_concave(object)

# S4 method for class 'MulExpression'
is_incr(object, idx)

# S4 method for class 'MulExpression'
is_decr(object, idx)

# S4 method for class 'MulExpression'
.grad(object, values)

# S4 method for class 'MulExpression'
graph_implementation(object, arg_objs, dim, data = NA_real_)

Arguments

x, y

The Expression objects or numeric constants to multiply.

object

A MulExpression object.

values

A list of numeric values for the arguments

idx

An index into the atom.

arg_objs

A list of linear expressions for each argument.

dim

A vector representing the dimensions of the resulting expression.

data

A list of additional data required by the atom.

Methods (by generic)

  • to_numeric(MulExpression): Matrix multiplication.

  • dim_from_args(MulExpression): The (row, col) dimensions of the expression.

  • is_atom_convex(MulExpression): Multiplication is convex (affine) in its arguments only if one of the arguments is constant.

  • is_atom_concave(MulExpression): If the multiplication atom is convex, then it is affine.

  • is_atom_log_log_convex(MulExpression): Is the atom log-log convex?

  • is_atom_log_log_concave(MulExpression): Is the atom log-log concave?

  • is_incr(MulExpression): Is the left-hand expression positive?

  • is_decr(MulExpression): Is the left-hand expression negative?

  • .grad(MulExpression): Gives the (sub/super)gradient of the atom w.r.t. each variable

  • graph_implementation(MulExpression): The graph implementation of the expression.

See also

Multiply