Dev #280
@ -0,0 +1,7 @@
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package space.kscience.kmath.functions
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import space.kscience.kmath.structures.Buffer
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public typealias UnivariateFunction<T> = (T) -> T
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public typealias MultivariateFunction<T> = (Buffer<T>) -> T
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@ -23,7 +23,7 @@ import space.kscience.kmath.structures.indices
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/**
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* A simple one-pass integrator based on Gauss rule
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*/
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public class GaussIntegrator<T : Any> internal constructor(
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public class GaussIntegrator<T : Comparable<T>> internal constructor(
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public val algebra: Ring<T>,
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private val points: Buffer<T>,
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private val weights: Buffer<T>,
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@ -31,6 +31,7 @@ public class GaussIntegrator<T : Any> internal constructor(
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init {
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require(points.size == weights.size) { "Inconsistent points and weights sizes" }
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require(points.indices.all { i -> i == 0 || points[i] > points[i - 1] }){"Integration nodes must be sorted"}
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}
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override fun integrate(integrand: UnivariateIntegrand<T>): UnivariateIntegrand<T> = with(algebra) {
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@ -54,12 +55,13 @@ public class GaussIntegrator<T : Any> internal constructor(
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range: ClosedRange<Double>,
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numPoints: Int = 100,
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ruleFactory: GaussIntegratorRuleFactory<Double> = GaussLegendreDoubleRuleFactory,
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features: List<IntegrandFeature> = emptyList(),
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function: (Double) -> Double,
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): Double {
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): UnivariateIntegrand<Double> {
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val (points, weights) = ruleFactory.build(numPoints, range)
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return GaussIntegrator(DoubleField, points, weights).integrate(
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UnivariateIntegrand(function, IntegrationRange(range))
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).value!!
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)
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}
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}
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}
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@ -1,6 +1,7 @@
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package space.kscience.kmath.integration
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import space.kscience.kmath.operations.DoubleField
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import space.kscience.kmath.operations.Field
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import space.kscience.kmath.operations.Ring
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import space.kscience.kmath.structures.*
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import kotlin.jvm.Synchronized
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@ -8,7 +9,7 @@ import kotlin.math.ulp
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import kotlin.native.concurrent.ThreadLocal
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public interface GaussIntegratorRuleFactory<T : Any> {
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public val algebra: Ring<T>
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public val algebra: Field<T>
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public val bufferFactory: BufferFactory<T>
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public fun build(numPoints: Int): Pair<Buffer<T>, Buffer<T>>
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@ -29,7 +30,7 @@ public fun <T : Comparable<T>> GaussIntegratorRuleFactory<T>.build(
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val points = with(algebra) {
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val length = range.endInclusive - range.start
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normalized.first.map(bufferFactory) {
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range.start + length * it
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range.start + length / 2 + length * it/2
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}
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}
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@ -46,7 +47,7 @@ public fun <T : Comparable<T>> GaussIntegratorRuleFactory<T>.build(
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@ThreadLocal
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public object GaussLegendreDoubleRuleFactory : GaussIntegratorRuleFactory<Double> {
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override val algebra: Ring<Double> get() = DoubleField
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override val algebra: Field<Double> get() = DoubleField
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override val bufferFactory: BufferFactory<Double> get() = ::DoubleBuffer
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@ -1,12 +1,13 @@
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package space.kscience.kmath.integration
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import space.kscience.kmath.functions.UnivariateFunction
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import space.kscience.kmath.misc.UnstableKMathAPI
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import kotlin.jvm.JvmInline
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import kotlin.reflect.KClass
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public class UnivariateIntegrand<T : Any> internal constructor(
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private val features: Map<KClass<*>, IntegrandFeature>,
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public val function: (T) -> T,
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public val function: UnivariateFunction<T>,
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) : Integrand {
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@Suppress("UNCHECKED_CAST")
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@ -0,0 +1,30 @@
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package space.kscience.kmath.integration
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import kotlin.math.PI
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import kotlin.math.sin
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import kotlin.test.Test
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import kotlin.test.assertEquals
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class GaussIntegralTest {
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@Test
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fun gaussSin() {
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val res = GaussIntegrator.integrate(0.0..2 * PI) { x ->
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sin(x)
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}
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assertEquals(0.0, res.value!!, 1e-4)
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}
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@Test
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fun gaussUniform() {
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val res = GaussIntegrator.integrate(0.0..100.0,300) { x ->
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if(x in 30.0..50.0){
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1.0
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} else {
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0.0
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}
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}
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assertEquals(20.0, res.value!!, 0.1)
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}
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}
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