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# Copyright (C) 2008-2009 - INRIA - Michael Baudin
# Copyright (C) 2009-2010 - DIGITEO - Michael Baudin
# Copyright (C) 2010-2022 - Sebastien Bihorel
#
# This file must be used under the terms of the CeCILL.
# This source file is licensed as described in the file COPYING, which
# you should have received as part of this distribution. The terms
# are also available at
# http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
#
# This source code is a R port of the neldermead component
# originally written by Michael Baudin for Scilab :
# "Nelder-Mead User's Manual", 2010, Consortium Scilab - Digiteo,
# Michael Baudin, http://wiki.scilab.org/The_Nelder-Mead_Component
neldermead.set <- function(this=NULL,
key=NULL,
value=NULL){
if (!any(key==c('optbase','method','simplex0','simplex0method',
'simplex0length','simplexsize0','simplexopt','historysimplex',
'coords0','rho','chi','','gamma','sigma','tolfstdeviation',
'tolfstdeviationmethod','tolsimplexizeabsolute',
'tolsimplexizerelative','tolsimplexizemethod','toldeltafv',
'tolssizedeltafvmethod','simplex0deltausual','simplex0deltazero',
'restartsimplexmethod','restartmax','restarteps','restartstep',
'restartnb','restartflag','restartdetection','kelleystagnationflag',
'kelleynormalizationflag','kelleystagnationalpha0','kelleyalpha',
'startupflag','boxnbpoints','boxnbpointseff','boxineqscaling',
'checkcostfunction','scalingsimplex0','guinalphamin','boxboundsalpha',
'boxtermination','boxtolf','boxnbmatch','boxkount','boxreflect',
'tolvarianceflag','tolabsolutevariance','tolrelativevariance',
'variancesimplex0','mymethod','myterminate','myterminateflag',
'greedy','output','exitflag'))){
# Delegate to the optimbase object
this$optbase <- optimbase.set(this=this$optbase,key=key,value=value)
}
if (key=='optbase'){
if (is(value)!='optimbase'){
unknownValueForOption(value=value,optionname='optbase')
} else {
this$optbase <- value
}
}
else if (key=='method'){
assert.classstring(var=value,varname='method',ivar=3)
if (!any(value==c('fixed','variable','box','mine'))){
unknownValueForOption(value=value,optionname='method')
} else {
this$method <- value
}
}
else if (key=='simplex0'){
if (is(value)!='simplex'){
unknownValueForOption(value=value,optionname='simplex0')
} else {
this$simplex0 <- value
}
}
else if (key=='simplex0method'){
assert.classstring(var=value,varname='simplex0method',ivar=3)
if (!any(value==c('given','axes','spendley','pfeffer','randbounds'))){
unknownValueForOption(value=value,optionname='simplex0method')
} else {
this$simplex0method <- value
}
}
else if (key=='simplex0length'){
assert.classreal(var=value,varname='simplex0length',ivar=3)
this$simplex0length <- value
}
else if (key=='simplexsize0'){
assert.classreal(var=value,varname='simplexsize0',ivar=3)
this$simplexsize0 <- value
}
else if (key=='simplexopt'){
if (is(value)!='simplex'){
unknownValueForOption(value=value,optionname='simplexopt')
} else {
this$simplexopt <- value
}
}
else if (key=='historysimplex'){
if (is(value)!='list'){
unknownValueForOption(value=value,optionname='historysimplex')
} else {
this$historysimplex <- value
}
}
else if (key=='coords0'){
assert.classreal(var=value,varname='coords0',ivar=3)
this$coords0 <- value
}
else if (key=='rho'){
assert.classreal(var=value,varname='rho',ivar=3)
this$rho <- value
}
else if (key=='chi'){
assert.classreal(var=value,varname='chi',ivar=3)
this$chi <- value
}
else if (key=='gamma'){
assert.classreal(var=value,varname='gamma',ivar=3)
this$gamma <- value
}
else if (key=='sigma'){
assert.classreal(var=value,varname='sigma',ivar=3)
this$sigma <- value
}
else if (key=='tolfstdeviation'){
assert.classreal(var=value,varname='tolfstdeviation',ivar=3)
this$tolfstdeviation <- value
}
else if (key=='tolfstdeviationmethod'){
assert.classboolean(var=value,varname='tolfstdeviationmethod',ivar=3)
this$tolfstdeviationmethod <- value
}
else if (key=='tolsimplexizeabsolute'){
assert.classreal(var=value,varname='tolsimplexizeabsolute',ivar=3)
this$tolsimplexizeabsolute <- value
}
else if (key=='tolsimplexizerelative'){
assert.classreal(var=value,varname='tolsimplexizerelative',ivar=3)
this$tolsimplexizerelative <- value
}
else if (key=='tolsimplexizemethod'){
assert.classboolean(var=value,varname='tolsimplexizemethod',ivar=3)
this$tolsimplexizemethod <- value
}
else if (key=='toldeltafv'){
assert.classreal(var=value,varname='toldeltafv',ivar=3)
this$toldeltafv <- value
}
else if (key=='tolssizedeltafvmethod'){
assert.classboolean(var=value,varname='tolssizedeltafvmethod',ivar=3)
this$tolssizedeltafvmethod <- value
}
else if (key=='simplex0deltausual'){
assert.classreal(var=value,varname='simplex0deltausual',ivar=3)
this$simplex0deltausual <- value
}
else if (key=='simplex0deltazero'){
assert.classreal(var=value,varname='simplex0deltazero',ivar=3)
this$simplex0deltazero <- value
}
else if (key=='restartsimplexmethod'){
assert.classstring(var=value,varname='restartsimplexmethod',ivar=3)
if (!any(value==c('axes','spendley','pfeffer','randbounds','oriented'))){
unknownValueForOption(value=value,optionname='restartsimplexmethod')
} else {
this$restartsimplexmethod <- value
}
}
else if (key=='restartmax'){
assert.classreal(var=value,varname='restartmax',ivar=3)
this$restartmax <- value
}
else if (key=='restarteps'){
assert.classreal(var=value,varname='restarteps',ivar=3)
this$restarteps <- value
}
else if (key=='restartstep'){
assert.classreal(var=value,varname='restartstep',ivar=3)
this$restartstep <- value
}
else if (key=='restartnb'){
assert.classreal(var=value,varname='restartnb',ivar=3)
this$restartnb <- value
}
else if (key=='restartflag'){
assert.classboolean(var=value,varname='restartflag',ivar=3)
this$restartflag <- value
}
else if (key=='restartdetection'){
assert.classstring(var=value,varname='restartdetection',ivar=3)
this$restartdetection <- value
}
else if (key=='kelleystagnationflag'){
assert.classboolean(var=value,varname='kelleystagnationflag',ivar=3)
this$kelleystagnationflag <- value
}
else if (key=='kelleynormalizationflag'){
assert.classboolean(var=value,varname='kelleynormalizationflag',ivar=3)
this$kelleynormalizationflag <- value
}
else if (key=='kelleystagnationalpha0'){
assert.classreal(var=value,varname='kelleystagnationalpha0',ivar=3)
this$kelleystagnationalpha0 <- value
}
else if (key=='kelleyalpha'){
assert.classreal(var=value,varname='kelleyalpha',ivar=3)
this$kelleyalpha <- value
}
else if (key=='startupflag'){
assert.classboolean(var=value,varname='startupflag',ivar=3)
this$startupflag <- value
}
else if (key=='boxnbpoints'){
#assert.classstring(var=value,varname='boxnbpoints',ivar=3)
this$boxnbpoints <- value
}
else if (key=='boxnbpointseff'){
assert.classreal(var=value,varname='boxnbpointseff',ivar=3)
this$boxnbpointseff <- value
}
else if (key=='boxineqscaling'){
assert.classreal(var=value,varname='boxineqscaling',ivar=3)
this$boxineqscaling <- value
}
else if (key=='checkcostfunction') {
assert.classboolean(var=value,varname='checkcostfunction',ivar=3)
this$checkcostfunction <- value
}
else if (key=='scalingsimplex0'){
assert.classstring(var=value,varname='scalingsimplex0',ivar=3)
this$scalingsimplex0 <- value
}
else if (key=='guinalphamin'){
assert.classreal(var=value,varname='guinalphamin',ivar=3)
if (value<=0)
stop(sprintf('neldermead.set: Unexpected negative value %s for -guinalphamin.',value),
call.=FALSE)
this$guinalphamin <- value
}
else if (key=='boxboundsalpha'){
assert.classreal(var=value,varname='boxboundsalpha',ivar=3)
this$boxboundsalpha <- value
}
else if (key=='boxtermination'){
assert.classboolean(var=value,varname='boxtermination',ivar=3)
this$boxtermination <- value
}
else if (key=='boxtolf'){
assert.classreal(var=value,varname='boxtolf',ivar=3)
this$boxtolf <- value
}
else if (key=='boxnbmatch'){
assert.classreal(var=value,varname='boxnbmatch',ivar=3)
this$boxnbmatch <- value
}
else if (key=='boxkount'){
assert.classreal(var=value,varname='boxkount',ivar=3)
this$boxkount <- value
}
else if (key=='boxreflect'){
assert.classreal(var=value,varname='boxreflect',ivar=3)
this$boxreflect <- value
}
else if (key=='tolvarianceflag'){
assert.classboolean(var=value,varname='tolvarianceflag',ivar=3)
this$tolvarianceflag <- value
}
else if (key=='tolabsolutevariance'){
assert.classreal(var=value,varname='tolabsolutevariance',ivar=3)
this$tolabsolutevariance <- value
}
else if (key=='tolrelativevariance'){
assert.classreal(var=value,varname='tolrelativevariance',ivar=3)
this$tolrelativevariance <- value
}
else if (key=='variancesimplex0'){
assert.classreal(var=value,varname='variancesimplex0',ivar=3)
this$variancesimplex0 <- value
}
else if (key=='mymethod'){
assert.classfunction(var=value,varname='mymethod',ivar=3)
this$mymethod <- value
}
else if (key=='myterminate'){
assert.classfunction(var=value,varname='myterminate',ivar=3)
this$myterminate <- value
}
else if (key=='myterminateflag'){
assert.classboolean(var=value,varname='myterminateflag',ivar=3)
this$myterminateflag <- value
if (!is.logical(value)){
unknownValueForOption(value=value,optionname='myterminateflag')
} else {
this$myterminateflag <- value
}
}
else if (key=='greedy'){
assert.classboolean(var=value,varname='greedy',ivar=3)
this$greedy <- value
}
else if (key=='output'){
if (is(value)!='list'){
unknownValueForOption(value=value,optionname='output')
} else {
this$output <- value
}
}
else if (key=='exitflag'){
assert.classboolean(var=value,varname='exitflag',ivar=3)
this$exitflag <- value
}
return(this)
}
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