MulExpression-class function

The MulExpression class.

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

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

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

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

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

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

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

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

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

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

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

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

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

## S4 method for signature '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