| LogSumExp-class {CVXR} | R Documentation |
The LogSumExp class.
Description
The natural logarithm of the sum of the elementwise exponential, \log\sum_{i=1}^n e^{x_i}.
Usage
LogSumExp(x, axis = NA_real_, keepdims = FALSE)
## S4 method for signature 'LogSumExp'
to_numeric(object, values)
## S4 method for signature 'LogSumExp'
.grad(object, values)
## S4 method for signature 'LogSumExp'
.column_grad(object, value)
## S4 method for signature 'LogSumExp'
sign_from_args(object)
## S4 method for signature 'LogSumExp'
is_atom_convex(object)
## S4 method for signature 'LogSumExp'
is_atom_concave(object)
## S4 method for signature 'LogSumExp'
is_incr(object, idx)
## S4 method for signature 'LogSumExp'
is_decr(object, idx)
Arguments
x |
An Expression representing a vector or matrix. |
axis |
(Optional) The dimension across which to apply the function: |
keepdims |
(Optional) Should dimensions be maintained when applying the atom along an axis? If |
object |
A LogSumExp object. |
values |
A list of numeric values. |
value |
A numeric value. |
idx |
An index into the atom. |
Methods (by generic)
-
to_numeric(LogSumExp): Evaluatese^xelementwise, sums, and takes the natural log. -
.grad(LogSumExp): Gives the (sub/super)gradient of the atom w.r.t. each variable -
.column_grad(LogSumExp): Gives the (sub/super)gradient of the atom w.r.t. each column variable. -
sign_from_args(LogSumExp): Returns sign (is positive, is negative) of the atom. -
is_atom_convex(LogSumExp): The atom is convex. -
is_atom_concave(LogSumExp): The atom is not concave. -
is_incr(LogSumExp): The atom is weakly increasing in the index. -
is_decr(LogSumExp): The atom is not weakly decreasing in the index.
Slots
xAn Expression representing a vector or matrix.
axis(Optional) The dimension across which to apply the function:
1indicates rows,2indicates columns, andNAindicates rows and columns. The default isNA.keepdims(Optional) Should dimensions be maintained when applying the atom along an axis? If
FALSE, result will be collapsed into ann x 1column vector. The default isFALSE.