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antik
gsll
Commits
7abb34b2
Commit
7abb34b2
authored
Sep 28, 2011
by
Liam M. Healy
Committed by
Liam M. Healy
Sep 28, 2011
Browse files
Improve wording and grammar in docstrings
parent
898260bd
Changes
1
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solve-minimize-fit/minimization-multi.lisp
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7abb34b2
;; Multivariate minimization.
;; Liam Healy <Tue Jan 8 2008 - 21:28>
;; Time-stamp: <2011-0
8-17 00:50:24
EDT minimization-multi.lisp>
;; Time-stamp: <2011-0
9-28 13:30:49
EDT minimization-multi.lisp>
;;
;; Copyright 2008, 2009, 2011 Liam M. Healy
;; Distributed under the terms of the GNU General Public License
...
...
@@ -47,11 +47,11 @@
((
type
:pointer
)
((
first
dimensions
)
sizet
))
"multi-dimensional minimizer with function only"
:documentation
; FDL
"Make an instance of a minimizer
of the given
for a
n
function of the
given
dimensions. Optionally initialize the minimizer
to minimize
the function starting from the initial point. The size
of the
initial trial steps is given in vector step-size. The
precise
meaning of this parameter depends on the method used."
"Make an instance of a minimizer for a function of the
given
dimensions
without derivative
. Optionally initialize the minimizer
to minimize
the function starting from the initial point. The size
of the
initial trial steps is given in vector step-size. The
precise
meaning of this parameter depends on the method used."
:callbacks
(
callback
fnstruct-dimension
(
dimension
)
(
function
:double
(
:input
:double
:foreign-array
dim0
)
:slug
))
...
...
@@ -66,16 +66,15 @@
((
type
:pointer
)
((
first
dimensions
)
sizet
))
"multi-dimensional minimizer with function and derivative"
:documentation
; FDL
"Make an instance of a derivative-based minimizer of the given for
an function of the given dimensions. Optionally initialize the
minimizer to minimize the function starting from the initial point.
The size of the first trial step is given by step-size. The
accuracy of the line minimization is specified by tolernace. The
precise meaning of this parameter depends on the method used.
Typically the line minimization is considered successful if the
gradient of the function g is orthogonal to the current search
direction p to a relative accuracy of tolerance, where dot(p,g) <
tol |p| |g|."
"Make an instance of a minimizer for a function of the given
dimensions with a derivative. Optionally initialize the minimizer
to minimize the function starting from the initial point. The size
of the first trial step is given by step-size. The accuracy of the
line minimization is specified by tolernace. The precise meaning
of this parameter depends on the method used. Typically the line
minimization is considered successful if the gradient of the
function g is orthogonal to the current search direction p to a
relative accuracy of tolerance, where dot(p,g) < tol |p| |g|."
:callbacks
(
callback
fnstruct-dimension-fdf
(
dimension
)
(
function
:double
(
:input
:double
:foreign-array
dim0
)
:slug
)
...
...
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