teldufalsari/kmath
2
0
Fork 0
forked from kscience/kmath
Code Pull Requests 1 Activity

Update Jafama module documentation with some minor code amendments

Browse Source
This commit is contained in:
Iaroslav Postovalov 2021-06-14 21:51:06 +07:00
parent c1b105db2a
commit 4d6428a308
11 changed files with 341 additions and 159 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
README.md
View File

@ -175,7 +175,7 @@ One can still use generic algebras though.
<hr/>
* ### [kmath-functions](kmath-functions)
> Functions, integration and interpolation
>
>
> **Maturity**: EXPERIMENTAL
>
@ -201,9 +201,13 @@ One can still use generic algebras though.
<hr/>
* ### [kmath-jafama](kmath-jafama)
>
>
>
> **Maturity**: PROTOTYPE
>
> **Features:**
> - [jafama-double](kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/) : Double ExtendedField implementations based on Jafama
<hr/>
* ### [kmath-jupyter](kmath-jupyter)

1
benchmarks/build.gradle.kts
View File

@ -12,6 +12,7 @@ repositories {
maven("https://repo.kotlin.link")
maven("https://clojars.org/repo")
maven("https://jitpack.io")
maven("http://logicrunch.research.it.uu.se/maven") {
isAllowInsecureProtocol = true
}

45
benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/JafamaBenchmark.kt
View File

@ -13,44 +13,27 @@ import space.kscience.kmath.jafama.JafamaDoubleField
import space.kscience.kmath.jafama.StrictJafamaDoubleField
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.invoke
import kotlin.math.cos
import kotlin.math.exp
import kotlin.math.pow
import kotlin.random.Random
@State(Scope.Benchmark)
internal class JafamaBenchmark {
@Benchmark
fun jafamaBench(blackhole: Blackhole) = invokeBenchmarks(jafama, blackhole)
@Benchmark
fun coreBench(blackhole: Blackhole) = invokeBenchmarks(core,blackhole)
@Benchmark
fun strictJafamaBench(blackhole: Blackhole) = invokeBenchmarks(strictJafama,blackhole)
@Benchmark
fun kotlinMathBench(blackhole: Blackhole) = invokeBenchmarks(kotlinMath, blackhole)
private fun invokeBenchmarks(expr: Double, blackhole: Blackhole) {
blackhole.consume(expr)
fun jafamaBench(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
JafamaDoubleField { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
}
private companion object {
private val x: Double = Double.MAX_VALUE
@Benchmark
fun coreBench(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
DoubleField { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
}
private val jafama = JafamaDoubleField{
x * power(x, 1_000_000) * exp(x) / cos(x)
}
@Benchmark
fun strictJafamaBench(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
StrictJafamaDoubleField { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
}
private val kotlinMath = x * x.pow(1_000_000) * exp(x) / cos(x)
private val core = DoubleField {
x * power(x, 1_000_000) * exp(x) / cos(x)
}
private val strictJafama = StrictJafamaDoubleField {
x * power(x, 1_000_000) * exp(x) / cos(x)
}
private inline fun invokeBenchmarks(blackhole: Blackhole, expr: (Double) -> Double) {
val rng = Random(0)
repeat(1000000) { blackhole.consume(expr(rng.nextDouble())) }
}
}

7
kmath-ast/build.gradle.kts
View File

@ -37,10 +37,9 @@ kotlin.sourceSets {
jsMain {
dependencies {
implementation(npm("astring", "1.7.4"))
implementation(npm("binaryen", "100.0"))
implementation(npm("js-base64", "3.6.0"))
implementation(npm("webassembly", "0.11.0"))
implementation(npm("astring", "1.7.5"))
implementation(npm("binaryen", "101.0.0"))
implementation(npm("js-base64", "3.6.1"))
}
}

1
kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerOperations.kt
View File

@ -9,7 +9,6 @@ import space.kscience.kmath.expressions.MstExtendedField
import space.kscience.kmath.expressions.Symbol.Companion.x
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.bindSymbol
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals

6
kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
View File

@ -64,7 +64,7 @@ public object DoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOp
public override inline val zero: Double get() = 0.0
public override inline val one: Double get() = 1.0
public override fun number(value: Number): Double = value.toDouble()
public override inline fun number(value: Number): Double = value.toDouble()
public override fun binaryOperationFunction(operation: String): (left: Double, right: Double) -> Double =
when (operation) {
@ -77,7 +77,7 @@ public object DoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOp
public override inline fun multiply(a: Double, b: Double): Double = a * b
public override inline fun divide(a: Double, b: Double): Double = a / b
public override fun scale(a: Double, value: Double): Double = a * value
public override inline fun scale(a: Double, value: Double): Double = a * value
public override inline fun sin(arg: Double): Double = kotlin.math.sin(arg)
public override inline fun cos(arg: Double): Double = kotlin.math.cos(arg)
@ -93,6 +93,7 @@ public object DoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOp
public override inline fun acosh(arg: Double): Double = kotlin.math.acosh(arg)
public override inline fun atanh(arg: Double): Double = kotlin.math.atanh(arg)
public override inline fun sqrt(arg: Double): Double = kotlin.math.sqrt(arg)
public override inline fun power(arg: Double, pow: Number): Double = arg.kpow(pow.toDouble())
public override inline fun exp(arg: Double): Double = kotlin.math.exp(arg)
public override inline fun ln(arg: Double): Double = kotlin.math.ln(arg)
@ -143,6 +144,7 @@ public object FloatField : ExtendedField<Float>, Norm<Float, Float> {
public override inline fun acosh(arg: Float): Float = kotlin.math.acosh(arg)
public override inline fun atanh(arg: Float): Float = kotlin.math.atanh(arg)
public override inline fun sqrt(arg: Float): Float = kotlin.math.sqrt(arg)
public override inline fun power(arg: Float, pow: Number): Float = arg.kpow(pow.toFloat())
public override inline fun exp(arg: Float): Float = kotlin.math.exp(arg)
public override inline fun ln(arg: Float): Float = kotlin.math.ln(arg)

5
kmath-functions/build.gradle.kts
View File

@ -3,6 +3,8 @@ plugins {
id("ru.mipt.npm.gradle.common")
}
description = "Functions, integration and interpolation"
kotlin.sourceSets.commonMain {
dependencies {
api(project(":kmath-core"))
@ -10,7 +12,6 @@ kotlin.sourceSets.commonMain {
}
readme {
description = "Functions, integration and interpolation"
maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
@ -29,4 +30,4 @@ readme {
feature("integration") {
"Univariate and multivariate quadratures"
}
}
}

178
kmath-jafama/README.md
View File

@ -1,80 +1,144 @@
# Module kmath-jafama
Jafama based implementation of DoubleField of kmath-operations.
Integration with [Jafama](https://github.com/jeffhain/jafama).
- JafamaDoubleField : DoubleField implementation using FastMath
- StrictJafamaDoubleField - DoubleField implementation using StrictFastMath
- [jafama-double](src/main/kotlin/space/kscience/kmath/jafama/) : Double ExtendedField implementations based on Jafama
## Examples
Different Operations on DoubleField
## Artifact:
The Maven coordinates of this project are `space.kscience:kmath-jafama:0.3.0-dev-13`.
**Gradle:**
```gradle
repositories {
maven { url 'https://repo.kotlin.link' }
mavenCentral()
}
dependencies {
implementation 'space.kscience:kmath-jafama:0.3.0-dev-13'
}
```
**Gradle Kotlin DSL:**
```kotlin
package space.kscience.kmath.jafama
repositories {
maven("https://repo.kotlin.link")
mavenCentral()
}
import net.jafama.FastMath
fun main(){
val a = JafamaDoubleField.number(2.0)
val b = StrictJafamaDoubleField.power(FastMath.E,a)
println(JafamaDoubleField.add(b,a))
println(StrictJafamaDoubleField.ln(b))
dependencies {
implementation("space.kscience:kmath-jafama:0.3.0-dev-13")
}
```
## Benchmarks
Comparing Operations on DoubleField and JafamaDoubleField
```bash
## Example usage
All the `DoubleField` uses can be replaced with `JafamaDoubleField` or `StrictJafamaDoubleField`.
```kotlin
import space.kscience.kmath.jafama.*
import space.kscience.kmath.operations.*
fun main() {
val a = 2.0
val b = StrictJafamaDoubleField { exp(a) }
println(JafamaDoubleField { b + a })
println(StrictJafamaDoubleField { ln(b) })
}
```
## Performance
According to benchmarking data, on Hotspot Jafama functions are 20% faster than JDK math. On GraalVM, they are slower.
<details>
<summary>Raw data:</summary>
**Hotspot**
```
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
Warm-up 1: 384414358.081 ops/s
Iteration 1: 374827571.951 ops/s
Iteration 2: 479335182.332 ops/s
Iteration 3: 475483069.577 ops/s
Iteration 4: 478235949.414 ops/s
Iteration 5: 472256385.114 ops/s
Warm-up 1: 11.447 ops/s
Iteration 1: 13.354 ops/s
Iteration 2: 14.237 ops/s
Iteration 3: 14.708 ops/s
Iteration 4: 14.629 ops/s
Iteration 5: 14.692 ops/s
456027631.678 ±(99.9%) 175106815.384 ops/s [Average]
(min, avg, max) = (374827571.951, 456027631.678, 479335182.332), stdev = 45474683.880
CI (99.9%): [280920816.294, 631134447.061] (assumes normal distribution)
14.324 ±(99.9%) 2.217 ops/s [Average]
(min, avg, max) = (13.354, 14.324, 14.708), stdev = 0.576
CI (99.9%): [12.107, 16.541] (assumes normal distribution)
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
Warm-up 1: 359418665.041 ops/s
Iteration 1: 335704885.798 ops/s
Iteration 2: 427684801.542 ops/s
Iteration 3: 452193034.265 ops/s
Iteration 4: 433855064.931 ops/s
Iteration 5: 453863386.566 ops/s
Warm-up 1: 15.628 ops/s
Iteration 1: 15.991 ops/s
Iteration 2: 16.633 ops/s
Iteration 3: 16.583 ops/s
Iteration 4: 16.716 ops/s
Iteration 5: 16.762 ops/s
420660234.620 ±(99.9%) 188028426.875 ops/s [Average]
(min, avg, max) = (335704885.798, 420660234.620, 453863386.566), stdev = 48830385.349
CI (99.9%): [232631807.746, 608688661.495] (assumes normal distribution)
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.kotlinMathBench
Warm-up 1: 371570418.113 ops/s
Iteration 1: 379281146.127 ops/s
Iteration 2: 465234403.109 ops/s
Iteration 3: 470621634.240 ops/s
Iteration 4: 467074553.006 ops/s
Iteration 5: 466424840.144 ops/s
449727315.325 ±(99.9%) 151837475.500 ops/s [Average]
(min, avg, max) = (379281146.127, 449727315.325, 470621634.240), stdev = 39431710.207
CI (99.9%): [297889839.825, 601564790.825] (assumes normal distribution)
16.537 ±(99.9%) 1.205 ops/s [Average]
(min, avg, max) = (15.991, 16.537, 16.762), stdev = 0.313
CI (99.9%): [15.332, 17.743] (assumes normal distribution)
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
Warm-up 1: 371241281.065 ops/s
Iteration 1: 374490259.387 ops/s
Iteration 2: 464995837.424 ops/s
Iteration 3: 469788706.385 ops/s
Iteration 4: 469528470.682 ops/s
Iteration 5: 456727921.978 ops/s
Warm-up 1: 13.378 ops/s
Iteration 1: 15.049 ops/s
Iteration 2: 14.468 ops/s
Iteration 3: 14.469 ops/s
Iteration 4: 14.753 ops/s
Iteration 5: 14.958 ops/s
447106239.171 ±(99.9%) 157629035.980 ops/s [Average]
(min, avg, max) = (374490259.387, 447106239.171, 469788706.385), stdev = 40935760.071
CI (99.9%): [289477203.192, 604735275.151] (assumes normal distribution)
14.739 ±(99.9%) 1.038 ops/s [Average]
(min, avg, max) = (14.468, 14.739, 15.049), stdev = 0.269
CI (99.9%): [13.701, 15.777] (assumes normal distribution)
```
**GraalVM**
```
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
Warm-up 1: 14.357 ops/s
Iteration 1: 14.768 ops/s
Iteration 2: 14.922 ops/s
Iteration 3: 14.966 ops/s
Iteration 4: 14.805 ops/s
Iteration 5: 14.520 ops/s
14.796 ±(99.9%) 0.671 ops/s [Average]
(min, avg, max) = (14.520, 14.796, 14.966), stdev = 0.174
CI (99.9%): [14.125, 15.468] (assumes normal distribution)
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
Warm-up 1: 11.592 ops/s
Iteration 1: 12.174 ops/s
Iteration 2: 11.734 ops/s
Iteration 3: 11.939 ops/s
Iteration 4: 12.026 ops/s
Iteration 5: 12.221 ops/s
12.019 ±(99.9%) 0.752 ops/s [Average]
(min, avg, max) = (11.734, 12.019, 12.221), stdev = 0.195
CI (99.9%): [11.267, 12.771] (assumes normal distribution)
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
Warm-up 1: 12.097 ops/s
Iteration 1: 13.072 ops/s
Iteration 2: 13.112 ops/s
Iteration 3: 13.103 ops/s
Iteration 4: 12.950 ops/s
Iteration 5: 13.011 ops/s
13.049 ±(99.9%) 0.263 ops/s [Average]
(min, avg, max) = (12.950, 13.049, 13.112), stdev = 0.068
CI (99.9%): [12.787, 13.312] (assumes normal distribution)
```
</details>

7
kmath-jafama/build.gradle.kts
View File

@ -2,6 +2,8 @@ plugins {
id("ru.mipt.npm.gradle.jvm")
}
description = "Jafama integration module"
dependencies {
api(project(":kmath-core"))
api("net.jafama:jafama:2.3.2")
@ -13,6 +15,11 @@ repositories {
readme {
maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE
propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
feature("jafama-double", "src/main/kotlin/space/kscience/kmath/jafama/") {
"Double ExtendedField implementations based on Jafama"
}
}
kotlin.sourceSets.all {

118
kmath-jafama/docs/README-TEMPLATE.md Normal file
View File

@ -0,0 +1,118 @@
# Module kmath-jafama
Integration with [Jafama](https://github.com/jeffhain/jafama).
${features}
${artifact}
## Example usage
All the `DoubleField` uses can be replaced with `JafamaDoubleField` or `StrictJafamaDoubleField`.
```kotlin
import space.kscience.kmath.jafama.*
import space.kscience.kmath.operations.*
fun main() {
val a = 2.0
val b = StrictJafamaDoubleField { exp(a) }
println(JafamaDoubleField { b + a })
println(StrictJafamaDoubleField { ln(b) })
}
```
## Performance
According to benchmarking data, on Hotspot Jafama functions are 20% faster than JDK math. On GraalVM, they are slower.
<details>
<summary>Raw data:</summary>
**Hotspot**
```
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
Warm-up 1: 11.447 ops/s
Iteration 1: 13.354 ops/s
Iteration 2: 14.237 ops/s
Iteration 3: 14.708 ops/s
Iteration 4: 14.629 ops/s
Iteration 5: 14.692 ops/s
14.324 ±(99.9%) 2.217 ops/s [Average]
(min, avg, max) = (13.354, 14.324, 14.708), stdev = 0.576
CI (99.9%): [12.107, 16.541] (assumes normal distribution)
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
Warm-up 1: 15.628 ops/s
Iteration 1: 15.991 ops/s
Iteration 2: 16.633 ops/s
Iteration 3: 16.583 ops/s
Iteration 4: 16.716 ops/s
Iteration 5: 16.762 ops/s
16.537 ±(99.9%) 1.205 ops/s [Average]
(min, avg, max) = (15.991, 16.537, 16.762), stdev = 0.313
CI (99.9%): [15.332, 17.743] (assumes normal distribution)
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
Warm-up 1: 13.378 ops/s
Iteration 1: 15.049 ops/s
Iteration 2: 14.468 ops/s
Iteration 3: 14.469 ops/s
Iteration 4: 14.753 ops/s
Iteration 5: 14.958 ops/s
14.739 ±(99.9%) 1.038 ops/s [Average]
(min, avg, max) = (14.468, 14.739, 15.049), stdev = 0.269
CI (99.9%): [13.701, 15.777] (assumes normal distribution)
```
**GraalVM**
```
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
Warm-up 1: 14.357 ops/s
Iteration 1: 14.768 ops/s
Iteration 2: 14.922 ops/s
Iteration 3: 14.966 ops/s
Iteration 4: 14.805 ops/s
Iteration 5: 14.520 ops/s
14.796 ±(99.9%) 0.671 ops/s [Average]
(min, avg, max) = (14.520, 14.796, 14.966), stdev = 0.174
CI (99.9%): [14.125, 15.468] (assumes normal distribution)
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
Warm-up 1: 11.592 ops/s
Iteration 1: 12.174 ops/s
Iteration 2: 11.734 ops/s
Iteration 3: 11.939 ops/s
Iteration 4: 12.026 ops/s
Iteration 5: 12.221 ops/s
12.019 ±(99.9%) 0.752 ops/s [Average]
(min, avg, max) = (11.734, 12.019, 12.221), stdev = 0.195
CI (99.9%): [11.267, 12.771] (assumes normal distribution)
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
Warm-up 1: 12.097 ops/s
Iteration 1: 13.072 ops/s
Iteration 2: 13.112 ops/s
Iteration 3: 13.103 ops/s
Iteration 4: 12.950 ops/s
Iteration 5: 13.011 ops/s
13.049 ±(99.9%) 0.263 ops/s [Average]
(min, avg, max) = (12.950, 13.049, 13.112), stdev = 0.068
CI (99.9%): [12.787, 13.312] (assumes normal distribution)
```
</details>

124
kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
View File

@ -1,17 +1,21 @@
package space.kscience.kmath.jafama
import space.kscience.kmath.operations.*
import net.jafama.*
import net.jafama.FastMath
import net.jafama.StrictFastMath
import space.kscience.kmath.operations.ExtendedField
import space.kscience.kmath.operations.Norm
import space.kscience.kmath.operations.PowerOperations
import space.kscience.kmath.operations.ScaleOperations
/**
* A field for [Double] (using FastMath) without boxing. Does not produce appropriate field element.
*/
@Suppress("EXTENSION_SHADOWED_BY_MEMBER", "OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE")
public object JafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOperations<Double> {
public override val zero: Double get() = 0.0
public override val one: Double get() = 1.0
public override inline val zero: Double get() = 0.0
public override inline val one: Double get() = 1.0
public override fun number(value: Number): Double = value.toDouble()
public override inline fun number(value: Number): Double = value.toDouble()
public override fun binaryOperationFunction(operation: String): (left: Double, right: Double) -> Double =
when (operation) {
@ -19,38 +23,39 @@ public object JafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, S
else -> super<ExtendedField>.binaryOperationFunction(operation)
}
public override fun add(a: Double, b: Double): Double = a + b
public override inline fun add(a: Double, b: Double): Double = a + b
public override fun multiply(a: Double, b: Double): Double = a * b
public override fun divide(a: Double, b: Double): Double = a / b
public override inline fun multiply(a: Double, b: Double): Double = a * b
public override inline fun divide(a: Double, b: Double): Double = a / b
public override fun scale(a: Double, value: Double): Double = a * value
public override inline fun scale(a: Double, value: Double): Double = a * value
public override fun sin(arg: Double): Double = FastMath.sin(arg)
public override fun cos(arg: Double): Double = FastMath.cos(arg)
public override fun tan(arg: Double): Double = FastMath.tan(arg)
public override fun acos(arg: Double): Double = FastMath.acos(arg)
public override fun asin(arg: Double): Double = FastMath.asin(arg)
public override fun atan(arg: Double): Double = FastMath.atan(arg)
public override inline fun sin(arg: Double): Double = FastMath.sin(arg)
public override inline fun cos(arg: Double): Double = FastMath.cos(arg)
public override inline fun tan(arg: Double): Double = FastMath.tan(arg)
public override inline fun acos(arg: Double): Double = FastMath.acos(arg)
public override inline fun asin(arg: Double): Double = FastMath.asin(arg)
public override inline fun atan(arg: Double): Double = FastMath.atan(arg)
public override fun sinh(arg: Double): Double = FastMath.sinh(arg)
public override fun cosh(arg: Double): Double = FastMath.cosh(arg)
public override fun tanh(arg: Double): Double = FastMath.tanh(arg)
public override fun asinh(arg: Double): Double = FastMath.asinh(arg)
public override fun acosh(arg: Double): Double = FastMath.acosh(arg)
public override fun atanh(arg: Double): Double = FastMath.atanh(arg)
public override inline fun sinh(arg: Double): Double = FastMath.sinh(arg)
public override inline fun cosh(arg: Double): Double = FastMath.cosh(arg)
public override inline fun tanh(arg: Double): Double = FastMath.tanh(arg)
public override inline fun asinh(arg: Double): Double = FastMath.asinh(arg)
public override inline fun acosh(arg: Double): Double = FastMath.acosh(arg)
public override inline fun atanh(arg: Double): Double = FastMath.atanh(arg)
public override fun power(arg: Double, pow: Number): Double = FastMath.pow(arg, pow.toDouble())
public override fun exp(arg: Double): Double = FastMath.exp(arg)
public override fun ln(arg: Double): Double = FastMath.log(arg)
public override inline fun sqrt(arg: Double): Double = FastMath.sqrt(arg)
public override inline fun power(arg: Double, pow: Number): Double = FastMath.pow(arg, pow.toDouble())
public override inline fun exp(arg: Double): Double = FastMath.exp(arg)
public override inline fun ln(arg: Double): Double = FastMath.log(arg)
public override fun norm(arg: Double): Double = FastMath.abs(arg)
public override inline fun norm(arg: Double): Double = FastMath.abs(arg)
public override fun Double.unaryMinus(): Double = -this
public override fun Double.plus(b: Double): Double = this + b
public override fun Double.minus(b: Double): Double = this - b
public override fun Double.times(b: Double): Double = this * b
public override fun Double.div(b: Double): Double = this / b
public override inline fun Double.unaryMinus(): Double = -this
public override inline fun Double.plus(b: Double): Double = this + b
public override inline fun Double.minus(b: Double): Double = this - b
public override inline fun Double.times(b: Double): Double = this * b
public override inline fun Double.div(b: Double): Double = this / b
}
/**
@ -58,10 +63,10 @@ public object JafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, S
*/
@Suppress("EXTENSION_SHADOWED_BY_MEMBER", "OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE")
public object StrictJafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOperations<Double> {
public override val zero: Double get() = 0.0
public override val one: Double get() = 1.0
public override inline val zero: Double get() = 0.0
public override inline val one: Double get() = 1.0
public override fun number(value: Number): Double = value.toDouble()
public override inline fun number(value: Number): Double = value.toDouble()
public override fun binaryOperationFunction(operation: String): (left: Double, right: Double) -> Double =
when (operation) {
@ -69,38 +74,37 @@ public object StrictJafamaDoubleField : ExtendedField<Double>, Norm<Double, Doub
else -> super<ExtendedField>.binaryOperationFunction(operation)
}
public override fun add(a: Double, b: Double): Double = a + b
public override inline fun add(a: Double, b: Double): Double = a + b
public override fun multiply(a: Double, b: Double): Double = a * b
public override fun divide(a: Double, b: Double): Double = a / b
public override inline fun multiply(a: Double, b: Double): Double = a * b
public override inline fun divide(a: Double, b: Double): Double = a / b
public override fun scale(a: Double, value: Double): Double = a * value
public override inline fun scale(a: Double, value: Double): Double = a * value
public override fun sin(arg: Double): Double = StrictFastMath.sin(arg)
public override fun cos(arg: Double): Double = StrictFastMath.cos(arg)
public override fun tan(arg: Double): Double = StrictFastMath.tan(arg)
public override fun acos(arg: Double): Double = StrictFastMath.acos(arg)
public override fun asin(arg: Double): Double = StrictFastMath.asin(arg)
public override fun atan(arg: Double): Double = StrictFastMath.atan(arg)
public override inline fun sin(arg: Double): Double = StrictFastMath.sin(arg)
public override inline fun cos(arg: Double): Double = StrictFastMath.cos(arg)
public override inline fun tan(arg: Double): Double = StrictFastMath.tan(arg)
public override inline fun acos(arg: Double): Double = StrictFastMath.acos(arg)
public override inline fun asin(arg: Double): Double = StrictFastMath.asin(arg)
public override inline fun atan(arg: Double): Double = StrictFastMath.atan(arg)
public override fun sinh(arg: Double): Double = StrictFastMath.sinh(arg)
public override fun cosh(arg: Double): Double = StrictFastMath.cosh(arg)
public override fun tanh(arg: Double): Double = StrictFastMath.tanh(arg)
public override fun asinh(arg: Double): Double = StrictFastMath.asinh(arg)
public override fun acosh(arg: Double): Double = StrictFastMath.acosh(arg)
public override fun atanh(arg: Double): Double = StrictFastMath.atanh(arg)
public override inline fun sinh(arg: Double): Double = StrictFastMath.sinh(arg)
public override inline fun cosh(arg: Double): Double = StrictFastMath.cosh(arg)
public override inline fun tanh(arg: Double): Double = StrictFastMath.tanh(arg)
public override inline fun asinh(arg: Double): Double = StrictFastMath.asinh(arg)
public override inline fun acosh(arg: Double): Double = StrictFastMath.acosh(arg)
public override inline fun atanh(arg: Double): Double = StrictFastMath.atanh(arg)
public override fun power(arg: Double, pow: Number): Double = StrictFastMath.pow(arg, pow.toDouble())
public override fun exp(arg: Double): Double = StrictFastMath.exp(arg)
public override fun ln(arg: Double): Double = StrictFastMath.log(arg)
public override inline fun sqrt(arg: Double): Double = StrictFastMath.sqrt(arg)
public override inline fun power(arg: Double, pow: Number): Double = StrictFastMath.pow(arg, pow.toDouble())
public override inline fun exp(arg: Double): Double = StrictFastMath.exp(arg)
public override inline fun ln(arg: Double): Double = StrictFastMath.log(arg)
public override fun norm(arg: Double): Double = StrictFastMath.abs(arg)
public override inline fun norm(arg: Double): Double = StrictFastMath.abs(arg)
public override fun Double.unaryMinus(): Double = -this
public override fun Double.plus(b: Double): Double = this + b
public override fun Double.minus(b: Double): Double = this - b
public override fun Double.times(b: Double): Double = this * b
public override fun Double.div(b: Double): Double = this / b
public override inline fun Double.unaryMinus(): Double = -this
public override inline fun Double.plus(b: Double): Double = this + b
public override inline fun Double.minus(b: Double): Double = this - b
public override inline fun Double.times(b: Double): Double = this * b
public override inline fun Double.div(b: Double): Double = this / b
}