org.apache.sysml.runtime.compress.utils

Class LinearAlgebraUtils

java.lang.Object

org.apache.sysml.runtime.compress.utils.LinearAlgebraUtils

public class LinearAlgebraUtils
extends Object

This library contains all vector primitives that are used compressed linear algebra. For primitives that exist in LibMatrixMult, these calls are simply forwarded to ensure consistency in performance and result correctness.

Constructor Summary

Constructors

Constructor and Description
LinearAlgebraUtils()

Method Summary

Modifier and Type	Method and Description
static void	copyNonZerosToUpperTriangle(MatrixBlock ret, MatrixBlock tmp, int ix)
static long	copyUpperToLowerTriangle(MatrixBlock ret)
static double	dotProduct(double[] a, double[] b, int len)
static double	dotProduct(double[] a, double[] b, int ai, int bi, int len)
static int	getClosestK(int[] a, int x) Obtain the index of the closest element in a to the value x.
static void	vectAdd(double[] a, double[] c, int ai, int ci, int len)
static void	vectAdd(double aval, double[] c, char[] bix, int bi, int ci, int len)
static void	vectAdd(double aval, double[] c, int ci, int len)
static void	vectMultiplyAdd(double aval, double[] b, double[] c, int[] bix, int bi, int ci, int len)
static void	vectMultiplyAdd(double aval, double[] b, double[] c, int bi, int ci, int len)
static double	vectSum(double[] a, char[] bix, int ai, int bi, int len)
static double	vectSum(double[] a, int ai, int len)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LinearAlgebraUtils

public LinearAlgebraUtils()

Method Detail

dotProduct

public static double dotProduct(double[] a,
                                double[] b,
                                int len)

dotProduct

public static double dotProduct(double[] a,
                                double[] b,
                                int ai,
                                int bi,
                                int len)

vectMultiplyAdd

public static void vectMultiplyAdd(double aval,
                                   double[] b,
                                   double[] c,
                                   int bi,
                                   int ci,
                                   int len)

vectMultiplyAdd

public static void vectMultiplyAdd(double aval,
                                   double[] b,
                                   double[] c,
                                   int[] bix,
                                   int bi,
                                   int ci,
                                   int len)

vectAdd

public static void vectAdd(double[] a,
                           double[] c,
                           int ai,
                           int ci,
                           int len)

vectAdd

public static void vectAdd(double aval,
                           double[] c,
                           char[] bix,
                           int bi,
                           int ci,
                           int len)

vectAdd

public static void vectAdd(double aval,
                           double[] c,
                           int ci,
                           int len)

vectSum

public static double vectSum(double[] a,
                             char[] bix,
                             int ai,
                             int bi,
                             int len)

vectSum

public static double vectSum(double[] a,
                             int ai,
                             int len)

copyUpperToLowerTriangle

public static long copyUpperToLowerTriangle(MatrixBlock ret)

copyNonZerosToUpperTriangle

public static void copyNonZerosToUpperTriangle(MatrixBlock ret,
                                               MatrixBlock tmp,
                                               int ix)

getClosestK

public static int getClosestK(int[] a,
                              int x)

Obtain the index of the closest element in a to the value x.

Parameters:

a - array of ints

x - value

Returns:

the index of the closest element in a to the value x