Rename DifferentiableMstExpression, fix #349
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@ -34,6 +34,7 @@
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- Replace `MST.Symbolic` by `Symbol`, `Symbol` now implements MST
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- Remove Any restriction on polynomials
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- Add `out` variance to type parameters of `StructureND` and its implementations where possible
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- Rename `DifferentiableMstExpression` to `KotlingradExpression`
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### Deprecated
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@ -11,6 +11,7 @@ allprojects {
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isAllowInsecureProtocol = true
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}
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maven("https://maven.pkg.jetbrains.space/public/p/kotlinx-html/maven")
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maven("https://oss.sonatype.org/content/repositories/snapshots")
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mavenCentral()
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}
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@ -3,14 +3,16 @@ plugins {
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id("ru.mipt.npm.gradle.common")
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}
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description = "Kotlin∇ integration module"
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dependencies {
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api("com.github.breandan:kaliningraph:0.1.6")
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api("com.github.breandan:kotlingrad:0.4.5")
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api(project(":kmath-ast"))
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api(project(":kmath-core"))
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testImplementation(project(":kmath-ast"))
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}
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readme {
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description = "Functions, integration and interpolation"
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maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
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propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
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@ -11,24 +11,24 @@ import space.kscience.kmath.expressions.*
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import space.kscience.kmath.operations.NumericAlgebra
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/**
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* Represents [MST] based [DifferentiableExpression].
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* Represents [MST] based [DifferentiableExpression] relying on [Kotlin∇](https://github.com/breandan/kotlingrad).
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*
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* The principle of this API is converting the [mst] to an [SFun], differentiating it with
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* [Kotlin∇](https://github.com/breandan/kotlingrad), then converting [SFun] back to [MST].
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* The principle of this API is converting the [mst] to an [SFun], differentiating it with Kotlin∇, then converting
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* [SFun] back to [MST].
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*
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* @param T The type of number.
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* @param A The [NumericAlgebra] of [T].
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* @property algebra The [A] instance.
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* @property mst The [MST] node.
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*/
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public class DifferentiableMstExpression<T : Number, A : NumericAlgebra<T>>(
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public class KotlingradExpression<T : Number, A : NumericAlgebra<T>>(
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public val algebra: A,
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public val mst: MST,
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) : DifferentiableExpression<T, DifferentiableMstExpression<T, A>> {
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) : DifferentiableExpression<T, KotlingradExpression<T, A>> {
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public override fun invoke(arguments: Map<Symbol, T>): T = mst.interpret(algebra, arguments)
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public override fun derivativeOrNull(symbols: List<Symbol>): DifferentiableMstExpression<T, A> =
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DifferentiableMstExpression(
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public override fun derivativeOrNull(symbols: List<Symbol>): KotlingradExpression<T, A> =
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KotlingradExpression(
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algebra,
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symbols.map(Symbol::identity)
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.map(MstNumericAlgebra::bindSymbol)
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@ -39,7 +39,7 @@ public class DifferentiableMstExpression<T : Number, A : NumericAlgebra<T>>(
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}
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/**
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* Wraps this [MST] into [DifferentiableMstExpression].
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* Wraps this [MST] into [KotlingradExpression].
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*/
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public fun <T : Number, A : NumericAlgebra<T>> MST.toDiffExpression(algebra: A): DifferentiableMstExpression<T, A> =
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DifferentiableMstExpression(algebra, this)
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public fun <T : Number, A : NumericAlgebra<T>> MST.toDiffExpression(algebra: A): KotlingradExpression<T, A> =
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KotlingradExpression(algebra, this)
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@ -14,7 +14,7 @@ import space.kscience.kmath.expressions.Symbol
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import space.kscience.kmath.operations.*
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/**
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* Maps [SVar] to [MST.Symbolic] directly.
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* Maps [SVar] to [Symbol] directly.
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*
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* @receiver The variable.
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* @returnAa node.
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@ -81,7 +81,7 @@ public fun <X : SFun<X>> SFun<X>.toMst(): MST = MstExtendedField {
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public fun <X : SFun<X>> MST.Numeric.toSConst(): SConst<X> = SConst(value)
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/**
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* Maps [MST.Symbolic] to [SVar] directly.
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* Maps [Symbol] to [SVar] directly.
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*
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* @receiver The node.
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* @return A new variable.
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@ -94,7 +94,7 @@ internal fun <X : SFun<X>> Symbol.toSVar(): SVar<X> = SVar(identity)
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* Detailed mapping is:
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*
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* - [MST.Numeric] -> [SConst];
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* - [MST.Symbolic] -> [SVar];
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* - [Symbol] -> [SVar];
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* - [MST.Unary] -> [Negative], [Sine], [Cosine], [Tangent], [Power], [Log];
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* - [MST.Binary] -> [Sum], [Prod], [Power].
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*
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@ -114,6 +114,12 @@ public fun <X : SFun<X>> MST.toSFun(): SFun<X> = when (this) {
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PowerOperations.SQRT_OPERATION -> sqrt(value.toSFun())
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ExponentialOperations.EXP_OPERATION -> exp(value.toSFun())
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ExponentialOperations.LN_OPERATION -> value.toSFun<X>().ln()
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ExponentialOperations.SINH_OPERATION -> MstExtendedField { (exp(value) - exp(-value)) / 2.0 }.toSFun()
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ExponentialOperations.COSH_OPERATION -> MstExtendedField { (exp(value) + exp(-value)) / 2.0 }.toSFun()
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ExponentialOperations.TANH_OPERATION -> MstExtendedField { (exp(value) - exp(-value)) / (exp(-value) + exp(value)) }.toSFun()
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ExponentialOperations.ASINH_OPERATION -> MstExtendedField { ln(sqrt(value * value + one) + value) }.toSFun()
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ExponentialOperations.ACOSH_OPERATION -> MstExtendedField { ln(value + sqrt((value - one) * (value + one))) }.toSFun()
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ExponentialOperations.ATANH_OPERATION -> MstExtendedField { (ln(value + one) - ln(one - value)) / 2.0 }.toSFun()
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else -> error("Unary operation $operation not defined in $this")
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}
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@ -3,6 +3,8 @@ plugins {
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id("ru.mipt.npm.gradle.common")
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}
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description = "ND4J NDStructure implementation and according NDAlgebra classes"
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dependencies {
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api(project(":kmath-tensors"))
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api("org.nd4j:nd4j-api:1.0.0-beta7")
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@ -12,7 +14,6 @@ dependencies {
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}
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readme {
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description = "ND4J NDStructure implementation and according NDAlgebra classes"
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maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
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propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
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feature(id = "nd4jarraystructure") { "NDStructure wrapper for INDArray" }
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