KMP library for tensors #300

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grinisrit merged 215 commits from feature/tensor-algebra into dev 2021-05-08 09:48:04 +03:00
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@ -1,8 +1,8 @@
package space.kscience.kmath.tensors.core package space.kscience.kmath.tensors.core
import space.kscience.kmath.samplers.GaussianSampler
import space.kscience.kmath.stat.RandomGenerator
import space.kscience.kmath.structures.* import space.kscience.kmath.structures.*
import kotlin.random.Random
import kotlin.math.*
/** /**
* Returns a reference to [IntArray] containing all of the elements of this [Buffer]. * Returns a reference to [IntArray] containing all of the elements of this [Buffer].
@ -37,8 +37,9 @@ internal fun Buffer<Double>.array(): DoubleArray = when (this) {
} }
internal inline fun getRandomNormals(n: Int, seed: Long): DoubleArray { internal inline fun getRandomNormals(n: Int, seed: Long): DoubleArray {
val u = Random(seed) val distribution = GaussianSampler(0.0, 1.0)
return (0 until n).map { sqrt(-2.0 * ln(u.nextDouble())) * cos(2.0 * PI * u.nextDouble()) }.toDoubleArray() val generator = RandomGenerator.default(seed)
return distribution.sample(generator).nextBufferBlocking(n).toDoubleArray()
} }
internal inline fun minusIndexFrom(n: Int, i: Int) : Int = if (i >= 0) i else { internal inline fun minusIndexFrom(n: Int, i: Int) : Int = if (i >= 0) i else {