MinEntries-class function

The MinEntries class.

The minimum of an expression. class

MinEntries(x, axis = NA_real_, keepdims = FALSE)

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

## S4 method for signature 'MinEntries'
sign_from_args(object)

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

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

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

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

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

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

## S4 method for signature 'MinEntries'
is_pwl(object)

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

## S4 method for signature 'MinEntries'
.column_grad(object, value)

Arguments

• x: An Expression representing a vector or matrix.
• axis: (Optional) The dimension across which to apply the function: 1 indicates rows, 2 indicates columns, and NA indicates rows and columns. The default is NA.
• keepdims: (Optional) Should dimensions be maintained when applying the atom along an axis? If FALSE, result will be collapsed into an $n x 1$ column vector. The default is FALSE.
• object: A MinEntries object.
• values: A list of numeric values for the arguments
• idx: An index into the atom.
• value: A numeric value

Methods (by generic)

• to_numeric(MinEntries): The largest entry in x.
• sign_from_args(MinEntries): The sign of the atom.
• is_atom_convex(MinEntries): The atom is not convex.
• is_atom_concave(MinEntries): The atom is concave.
• is_atom_log_log_convex(MinEntries): Is the atom log-log convex?
• is_atom_log_log_concave(MinEntries): Is the atom log-log concave?
• is_incr(MinEntries): The atom is weakly increasing in every argument.
• is_decr(MinEntries): The atom is not weakly decreasing in any argument.
• is_pwl(MinEntries): Is x piecewise linear?
• .grad(MinEntries): Gives the (sub/super)gradient of the atom w.r.t. each variable
• .column_grad(MinEntries): Gives the (sub/super)gradient of the atom w.r.t. each column variable

Slots

• x: An Expression representing a vector or matrix.
• axis: (Optional) The dimension across which to apply the function: 1 indicates rows, 2 indicates columns, and NA indicates rows and columns. The default is NA.
• keepdims: (Optional) Should dimensions be maintained when applying the atom along an axis? If FALSE, result will be collapsed into an $n x 1$ column vector. The default is FALSE.