http://commons.apache.org/proper/commons-math/: The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang. (The Apache Software Foundation)
  • Eldar Agalarov
  • Tim Allison
  • C. Scott Ananian
  • Mark Anderson
  • Peter Andrews
  • Rémi Arntzen
  • Matt Adereth
  • Jared Becksfort
  • Michael Bjorkegren
  • Brian Bloniarz
  • John Bollinger
  • Cyril Briquet
  • Dave Brosius
  • Dan Checkoway
  • Anders Conbere
  • Charles Cooper
  • Paul Cowan
  • Benjamin Croizet
  • Larry Diamond
  • Aleksei Dievskii
  • Rodrigo di Lorenzo Lopes
  • Hasan Diwan
  • Ted Dunning
  • Ole Ersoy
  • Ajo Fod
  • John Gant
  • Ken Geis
  • Hank Grabowski
  • Bernhard Grünewaldt
  • Elliotte Rusty Harold
  • Dennis Hendriks
  • Reid Hochstedler
  • Matthias Hummel
  • Curtis Jensen
  • Bruce A Johnson
  • Ismael Juma
  • Eugene Kirpichov
  • Oleksandr Kornieiev
  • Piotr Kochanski
  • Sergei Lebedev
  • Bob MacCallum
  • Jake Mannix
  • Benjamin McCann
  • Patrick Meyer
  • J. Lewis Muir
  • Venkatesha Murthy
  • Christopher Nix
  • Fredrik Norin
  • Sean Owen
  • Sujit Pal
  • Todd C. Parnell
  • Andreas Rieger
  • Sébastien Riou
  • Bill Rossi
  • Matthew Rowles
  • Pavel Ryzhov
  • Joni Salonen
  • Michael Saunders
  • Thorsten Schaefer
  • Christopher Schuck
  • Christian Semrau
  • David Stefka
  • Mauro Talevi
  • Radoslav Tsvetkov
  • Kim van der Linde
  • Alexey Volkov
  • Andrew Waterman
  • Jörg Weimar
  • Christian Winter
  • Piotr Wydrych
  • Xiaogang Zhang
  • Chris Popp
  • Mikkel Meyer Andersen
  • Bill Barker
  • Sébastien Brisard
  • Albert Davidson Chou
  • Mark Diggory
  • Robert Burrell Donkin
  • Otmar Ertl
  • Luc Maisonobe
  • Tim O'Brien
  • J. Pietschmann
  • Dimitri Pourbaix
  • Gilles Sadowski
  • Greg Sterijevski
  • Brent Worden
  • Thomas Neidhart
  • Evan Ward 
public class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint implements org.apache.commons.math3.stat.clustering.Clusterable<org.apache.commons.math3.stat.clustering.EuclideanDoublePoint>, java.io.Serializable
  minor version: 0
  major version: 59
  flags: flags: (0x0021) ACC_PUBLIC, ACC_SUPER
  this_class: org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
  super_class: java.lang.Object
{
  private static final long serialVersionUID;
    descriptor: J
    flags: (0x001a) ACC_PRIVATE, ACC_STATIC, ACC_FINAL
    ConstantValue: 8026472786091227632

  private final double[] point;
    descriptor: [D
    flags: (0x0012) ACC_PRIVATE, ACC_FINAL

  public void <init>(double[]);
    descriptor: ([D)V
    flags: (0x0001) ACC_PUBLIC
    Code:
      stack=2, locals=2, args_size=2
        start local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
        start local 1 // double[] point
         0: .line 47
            aload 0 /* this */
            invokespecial java.lang.Object.<init>:()V
         1: .line 48
            aload 0 /* this */
            aload 1 /* point */
            putfield org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.point:[D
         2: .line 49
            return
        end local 1 // double[] point
        end local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
      LocalVariableTable:
        Start  End  Slot   Name  Signature
            0    3     0   this  Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;
            0    3     1  point  [D
    MethodParameters:
       Name  Flags
      point  final

  public org.apache.commons.math3.stat.clustering.EuclideanDoublePoint centroidOf(java.util.Collection<org.apache.commons.math3.stat.clustering.EuclideanDoublePoint>);
    descriptor: (Ljava/util/Collection;)Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;
    flags: (0x0001) ACC_PUBLIC
    Code:
      stack=6, locals=6, args_size=2
        start local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
        start local 1 // java.util.Collection points
         0: .line 53
            aload 0 /* this */
            invokevirtual org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.getPoint:()[D
            arraylength
            newarray 7
            astore 2 /* centroid */
        start local 2 // double[] centroid
         1: .line 54
            aload 1 /* points */
            invokeinterface java.util.Collection.iterator:()Ljava/util/Iterator;
            astore 4
            goto 8
      StackMap locals: org.apache.commons.math3.stat.clustering.EuclideanDoublePoint java.util.Collection double[] top java.util.Iterator
      StackMap stack:
         2: aload 4
            invokeinterface java.util.Iterator.next:()Ljava/lang/Object;
            checkcast org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
            astore 3 /* p */
        start local 3 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint p
         3: .line 55
            iconst_0
            istore 5 /* i */
        start local 5 // int i
         4: goto 7
         5: .line 56
      StackMap locals: org.apache.commons.math3.stat.clustering.EuclideanDoublePoint java.util.Collection double[] org.apache.commons.math3.stat.clustering.EuclideanDoublePoint java.util.Iterator int
      StackMap stack:
            aload 2 /* centroid */
            iload 5 /* i */
            dup2
            daload
            aload 3 /* p */
            invokevirtual org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.getPoint:()[D
            iload 5 /* i */
            daload
            dadd
            dastore
         6: .line 55
            iinc 5 /* i */ 1
      StackMap locals:
      StackMap stack:
         7: iload 5 /* i */
            aload 2 /* centroid */
            arraylength
            if_icmplt 5
        end local 5 // int i
        end local 3 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint p
         8: .line 54
      StackMap locals: org.apache.commons.math3.stat.clustering.EuclideanDoublePoint java.util.Collection double[] top java.util.Iterator
      StackMap stack:
            aload 4
            invokeinterface java.util.Iterator.hasNext:()Z
            ifne 2
         9: .line 59
            iconst_0
            istore 3 /* i */
        start local 3 // int i
        10: goto 13
        11: .line 60
      StackMap locals: org.apache.commons.math3.stat.clustering.EuclideanDoublePoint java.util.Collection double[] int
      StackMap stack:
            aload 2 /* centroid */
            iload 3 /* i */
            dup2
            daload
            aload 1 /* points */
            invokeinterface java.util.Collection.size:()I
            i2d
            ddiv
            dastore
        12: .line 59
            iinc 3 /* i */ 1
      StackMap locals:
      StackMap stack:
        13: iload 3 /* i */
            aload 2 /* centroid */
            arraylength
            if_icmplt 11
        end local 3 // int i
        14: .line 62
            new org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
            dup
            aload 2 /* centroid */
            invokespecial org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.<init>:([D)V
            areturn
        end local 2 // double[] centroid
        end local 1 // java.util.Collection points
        end local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
      LocalVariableTable:
        Start  End  Slot      Name  Signature
            0   15     0      this  Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;
            0   15     1    points  Ljava/util/Collection<Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;>;
            1   15     2  centroid  [D
            3    8     3         p  Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;
            4    8     5         i  I
           10   14     3         i  I
    Signature: (Ljava/util/Collection<Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;>;)Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;
    MethodParameters:
        Name  Flags
      points  final

  public double distanceFrom(org.apache.commons.math3.stat.clustering.EuclideanDoublePoint);
    descriptor: (Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;)D
    flags: (0x0001) ACC_PUBLIC
    Code:
      stack=2, locals=2, args_size=2
        start local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
        start local 1 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint p
         0: .line 67
            aload 0 /* this */
            getfield org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.point:[D
            aload 1 /* p */
            invokevirtual org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.getPoint:()[D
            invokestatic org.apache.commons.math3.util.MathArrays.distance:([D[D)D
            dreturn
        end local 1 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint p
        end local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
      LocalVariableTable:
        Start  End  Slot  Name  Signature
            0    1     0  this  Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;
            0    1     1     p  Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;
    MethodParameters:
      Name  Flags
      p     final

  public boolean equals(java.lang.Object);
    descriptor: (Ljava/lang/Object;)Z
    flags: (0x0001) ACC_PUBLIC
    Code:
      stack=2, locals=2, args_size=2
        start local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
        start local 1 // java.lang.Object other
         0: .line 73
            aload 1 /* other */
            instanceof org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
            ifne 2
         1: .line 74
            iconst_0
            ireturn
         2: .line 76
      StackMap locals:
      StackMap stack:
            aload 0 /* this */
            getfield org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.point:[D
            aload 1 /* other */
            checkcast org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
            getfield org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.point:[D
            invokestatic java.util.Arrays.equals:([D[D)Z
            ireturn
        end local 1 // java.lang.Object other
        end local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
      LocalVariableTable:
        Start  End  Slot   Name  Signature
            0    3     0   this  Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;
            0    3     1  other  Ljava/lang/Object;
    MethodParameters:
       Name  Flags
      other  final

  public double[] getPoint();
    descriptor: ()[D
    flags: (0x0001) ACC_PUBLIC
    Code:
      stack=1, locals=1, args_size=1
        start local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
         0: .line 85
            aload 0 /* this */
            getfield org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.point:[D
            areturn
        end local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
      LocalVariableTable:
        Start  End  Slot  Name  Signature
            0    1     0  this  Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;

  public int hashCode();
    descriptor: ()I
    flags: (0x0001) ACC_PUBLIC
    Code:
      stack=1, locals=1, args_size=1
        start local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
         0: .line 91
            aload 0 /* this */
            getfield org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.point:[D
            invokestatic java.util.Arrays.hashCode:([D)I
            ireturn
        end local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
      LocalVariableTable:
        Start  End  Slot  Name  Signature
            0    1     0  this  Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;

  public java.lang.String toString();
    descriptor: ()Ljava/lang/String;
    flags: (0x0001) ACC_PUBLIC
    Code:
      stack=1, locals=1, args_size=1
        start local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
         0: .line 97
            aload 0 /* this */
            getfield org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.point:[D
            invokestatic java.util.Arrays.toString:([D)Ljava/lang/String;
            areturn
        end local 0 // org.apache.commons.math3.stat.clustering.EuclideanDoublePoint this
      LocalVariableTable:
        Start  End  Slot  Name  Signature
            0    1     0  this  Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;

  public double distanceFrom(java.lang.Object);
    descriptor: (Ljava/lang/Object;)D
    flags: (0x1041) ACC_PUBLIC, ACC_BRIDGE, ACC_SYNTHETIC
    Code:
      stack=2, locals=2, args_size=2
         0: .line 1
            aload 0
            aload 1
            checkcast org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
            invokevirtual org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.distanceFrom:(Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;)D
            dreturn
      LocalVariableTable:
        Start  End  Slot  Name  Signature

  public java.lang.Object centroidOf(java.util.Collection);
    descriptor: (Ljava/util/Collection;)Ljava/lang/Object;
    flags: (0x1041) ACC_PUBLIC, ACC_BRIDGE, ACC_SYNTHETIC
    Code:
      stack=2, locals=2, args_size=2
         0: .line 1
            aload 0
            aload 1
            checkcast java.util.Collection
            invokevirtual org.apache.commons.math3.stat.clustering.EuclideanDoublePoint.centroidOf:(Ljava/util/Collection;)Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;
            areturn
      LocalVariableTable:
        Start  End  Slot  Name  Signature
}
Signature: Ljava/lang/Object;Lorg/apache/commons/math3/stat/clustering/Clusterable<Lorg/apache/commons/math3/stat/clustering/EuclideanDoublePoint;>;Ljava/io/Serializable;
SourceFile: "EuclideanDoublePoint.java"
    RuntimeVisibleAnnotations: 
      java.lang.Deprecated()