com.mayabot.nlp.blas.Vector.kt Maven / Gradle / Ivy
package com.mayabot.nlp.blas
import java.io.Serializable
/**
* Float Vector
* @author jimichan
*/
interface Vector : Serializable {
fun subVector(offset: Int, size: Int): Vector
fun plusTo(v: Vector): Vector
fun minusTo(v: Vector): Vector
fun divTo(float: Float): Vector {
val result = FloatArray(length())
for (i in 0 until length()) {
result[i] = this[i] / float
}
return DenseVector(result, 0, length())
}
fun length(): Int
fun prod(vector: Vector): Float
fun norm2(): Float
fun norm2Pow(): Float
fun check()
fun copy(): Vector
fun access(call: (Int, Float) -> Unit)
// writer
fun fill(value: Number)
fun fill(call: (Int) -> Float)
operator fun get(index: Int): Float
operator fun times(vector: Vector): Float
operator fun set(index: Int, value: Float)
operator fun plusAssign(vector: Vector)
operator fun plusAssign(pair: Pair)
operator fun minusAssign(vector: Vector)
operator fun minusAssign(pair: Pair)
operator fun timesAssign(scale: Number)
operator fun divAssign(scale: Number)
fun putAll(array: FloatArray)
fun zero()
/**
* 赋值
*/
operator fun invoke(vector: Vector)
/**
*
*/
fun addRow(A: Matrix, i: Int, a: Double) {
check(i >= 0)
check(i < A.row)
check(length() == A.col)
A.addRowToVector(this, i, a)
}
/**
* 矩阵的每一行和vec点积，保存在当前这个向量里面
*/
fun mul(A: Matrix, vec: Vector) {
check(A.row == length())
check(A.col == vec.length())
for (i in 0 until length()) {
this[i] = A.dotRow(vec, i)
}
}
}