forked from kscience/kmath
61 lines
2.2 KiB
Kotlin
61 lines
2.2 KiB
Kotlin
|
/*
|
||
|
* Copyright 2015 Alexander Nozik.
|
||
|
*
|
||
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
||
|
* you may not use this file except in compliance with the License.
|
||
|
* You may obtain a copy of the License at
|
||
|
*
|
||
|
* http://www.apache.org/licenses/LICENSE-2.0
|
||
|
*
|
||
|
* Unless required by applicable law or agreed to in writing, software
|
||
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
||
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
|
* See the License for the specific language governing permissions and
|
||
|
* limitations under the License.
|
||
|
*/
|
||
|
package ru.inr.mass.minuit
|
||
|
|
||
|
import ru.inr.mass.maths.MultiFunction
|
||
|
|
||
|
/**
|
||
|
*
|
||
|
* @version $Id$
|
||
|
*/
|
||
|
internal class AnalyticalGradientCalculator(fcn: MultiFunction?, state: MnUserTransformation, checkGradient: Boolean) :
|
||
|
GradientCalculator {
|
||
|
private val function: MultiFunction?
|
||
|
private val theCheckGradient: Boolean
|
||
|
private val theTransformation: MnUserTransformation
|
||
|
fun checkGradient(): Boolean {
|
||
|
return theCheckGradient
|
||
|
}
|
||
|
|
||
|
/** {@inheritDoc} */
|
||
|
fun gradient(par: MinimumParameters): FunctionGradient {
|
||
|
// double[] grad = theGradCalc.gradientValue(theTransformation.andThen(par.vec()).data());
|
||
|
val point: DoubleArray = theTransformation.transform(par.vec()).toArray()
|
||
|
require(!(function.getDimension() !== theTransformation.parameters().size())) { "Invalid parameter size" }
|
||
|
val v: RealVector = ArrayRealVector(par.vec().getDimension())
|
||
|
for (i in 0 until par.vec().getDimension()) {
|
||
|
val ext: Int = theTransformation.extOfInt(i)
|
||
|
if (theTransformation.parameter(ext).hasLimits()) {
|
||
|
val dd: Double = theTransformation.dInt2Ext(i, par.vec().getEntry(i))
|
||
|
v.setEntry(i, dd * function.derivValue(ext, point))
|
||
|
} else {
|
||
|
v.setEntry(i, function.derivValue(ext, point))
|
||
|
}
|
||
|
}
|
||
|
return FunctionGradient(v)
|
||
|
}
|
||
|
|
||
|
/** {@inheritDoc} */
|
||
|
fun gradient(par: MinimumParameters, grad: FunctionGradient?): FunctionGradient {
|
||
|
return gradient(par)
|
||
|
}
|
||
|
|
||
|
init {
|
||
|
function = fcn
|
||
|
theTransformation = state
|
||
|
theCheckGradient = checkGradient
|
||
|
}
|
||
|
}
|