Examples of mikera.vectorz.AVector

mikera.vectorz.AVector
Main abstract base class for all types of vector Contains default implementations for most vector operations which can be overriden to achieve better performance in derived classes. @author Mike

    assertTrue(r.epsilonEquals(v));
  }
  
  private void doInverseTest(AMatrix m) {
    assert(m.rowCount()==m.columnCount());
    AVector v = Vectorz.createUniformRandomVector(m.rowCount());
    
    AMatrix mi=m.inverse();
    assertEquals(1.0,m.determinant()*mi.determinant(),0.001);
    
    assertTrue(mi.epsilonEquals(Inverse.calculate(m)));
    
    AVector mv=m.transform(v);
    AVector mimv=mi.transform(mv);
    
    assertTrue(mimv.epsilonEquals(v));    
    
    // composition of matrix and its inverse should be an identity transform
    MatrixTransform mt=new MatrixTransform(m);
    ATransform id=mt.compose(new MatrixTransform(mi));
    AVector idv=id.transform(v);
    assertTrue(idv.epsilonEquals(v));    
  }

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  @Test
  public void testIdentity() {
    for (int i=1; i<10; i++) {
      AVector v=Vectorz.newVector(i);
      for (int j=0; j<v.length(); j++) {
        v.set(j,j+1.3);
      }
      
      AVector tv=v.clone();
      
      AMatrix m=Matrixx.createImmutableIdentityMatrix(i);
      
      m.transform(v, tv);

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  }
  
  private void doLeadingDiagonalTests(AMatrix m) {
    int dims=m.rowCount();
    assertEquals(dims,m.columnCount());
    AVector v=m.getLeadingDiagonal();
    
    for (int i=0; i<dims; i++) {
      assertEquals(v.get(i),m.get(i, i),0.0);
    }
  }

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    int rc=m.rowCount();
    int cc=m.columnCount();
    if ((rc==0)||(cc==0)) return;
    
    for (int i=0; i<rc; i++) {
      AVector row=m.getRow(i);
      assertEquals(row,m.cloneRow(i));
      assertEquals(cc,row.length());
    }
    
    for (int i=0; i<cc; i++) {
      AVector col=m.getColumn(i);
      assertEquals(rc,col.length());
    }
    
    AVector row=m.getRowView(0);
    AVector col=m.getColumnView(0);
    
    row.set(0,1.77);
    assertEquals(1.77,m.get(0,0),0.0);
    
    col.set(0,0.23);
    assertEquals(0.23,m.get(0,0),0.0);
    
    AVector all=m.asVector();
    assertEquals(m.rowCount()*m.columnCount(),all.length());
    all.set(0,0.78);
    assertEquals(0.78,row.get(0),0.0);
    assertEquals(0.78,col.get(0),0.0);
    
    new TestArrays().testArray(row);
    new TestArrays().testArray(col);

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    // TODO: consider what to do about out-of-range bands?
    //assertNull(m.getBand(bandMin-1));
    //assertNull(m.getBand(bandMax+1));
    
    for (int i=bandMin; i<=bandMax; i++) {
      AVector b=m.getBand(i);
      assertEquals(b.length(),m.bandLength(i));    
      assertEquals(mc.getBand(i),b);
      
      // wrapped band test
      if (rc*cc!=0) assertEquals(Math.max(rc, cc),m.getBandWrapped(i).length());
    }

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    assertEquals(m,BandedMatrix.create(m));
  }
  
  private void doVectorTest(AMatrix m) {
    m=m.clone();
    AVector v=m.asVector();
    assertEquals(v,m.toVector());
    
    assertEquals(m.elementSum(),v.elementSum(),0.000001);
    
    AMatrix m2=Matrixx.createFromVector(v, m.rowCount(), m.columnCount());
    
    assertEquals(m,m2);
    assertEquals(v,m2.asVector());
    
    if (v.length()>0) {
      v.set(0,10.0);
      assertEquals(10.0,m.get(0,0),0.0);
    }
  }

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    AMatrix a=Matrixx.createRandomSquareMatrix(m.rowCount());
    AMatrix b=Matrixx.createRandomSquareMatrix(m.columnCount());
    AMatrix mb=m.compose(b);
    AMatrix amb=a.compose(mb);
    
    AVector v=Vectorz.createUniformRandomVector(b.columnCount());
    
    AVector ambv=a.transform(m.transform(b.transform(v)));
    assertTrue(amb.transform(v).epsilonEquals(ambv));
  }

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    m1.scale(0.0);
    assertTrue(m1.isZero());
  }
  
  private void doMulTest(AMatrix m) {
    AVector v=Vectorz.newVector(m.columnCount());
    AVector t=Vectorz.newVector(m.rowCount());
    
    m.transform(v, t);
    AVector t2=m.transform(v);
    
    assertEquals(t,t2);
    assertEquals(t,m.innerProduct(v));
  }

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      v.addProduct(v2,v3);
    }
  }
  
  public Object timeAVectorDotProduct(int runs) {
    AVector v=new Vector(Vectorz.createUniformRandomVector(VECTOR_SIZE));
    AVector v2=new Vector(Vectorz.createUniformRandomVector(VECTOR_SIZE));
    double r=0.0;
    for (int i=0; i<runs; i++) {
      r+=v.dotProduct(v2);
    }
    return r;

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      v.add(source,100);
    }
  }
  
  public void timeJoinedVectorSet(int runs) {
    AVector v=Vectorz.newVector(VECTOR_SIZE/2);
    v=v.join(Vectorz.newVector(VECTOR_SIZE-v.length()));


    Vector v2=new Vector(Vectorz.createUniformRandomVector(VECTOR_SIZE));
    for (int i=0; i<runs; i++) {
      v.set(v2);
    }
  }

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Related Classes of mikera.vectorz.AVector

example.SparseMatrix

mikera.arrayz.impl.AbstractArray

mikera.arrayz.impl.SliceArray

mikera.arrayz.INDArray

mikera.arrayz.NDArray

mikera.arrayz.TestArrays

mikera.arrayz.TestMiscArrayOps

mikera.indexz.Index

mikera.matrixx.algo.Rank

mikera.matrixx.algo.TestLinear

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