Examples of FloatMatrix

com.ngt.jopenmetaverse.shared.sim.rendering.math.FloatMatrix
TODO should we use a "standard" Java matrix and vector api? Does it work in GWT? Representation of a matrix constructed of float fields. The first dimension of the data array represents the height of the Matrix and the second dimension represents the width. So the matrix is saved line-wise. @author Steffen Schäfer @author Sönke Sothmann

org.jblas.FloatMatrix

utes x = y + z. Even in-place methods return the result, such that you can easily chain in-place methods, for example: x.addi(y).addi(z) // computes x += y; x += z

Methods which operate element-wise only make sure that the length of the matrices is correct. Therefore, you can add a 3 * 3 matrix to a 1 * 9 matrix, for example.

Finally, there exist versions which take floats instead of FloatMatrix Objects as arguments. These then compute the operation with the same value as the right-hand-side. The same effect can be achieved by passing a FloatMatrix with exactly one element.

Operation	Method	Comment
x + y	x.add(y)
x - y	x.sub(y), y.rsub(x)	rsub subtracts left from right hand side
x * y	x.mul(y)	element-wise multiplication
	x.mmul(y)	matrix-matrix multiplication
	x.dot(y)	scalar-product
x / y	x.div(y), y.rdiv(x)	rdiv divides right hand side by left hand side.
- x	x.neg()

There also exist operations which work on whole columns or rows.

Method	Description
x.addRowVector	adds a vector to each row (addiRowVector works in-place)
x.addColumnVector	adds a vector to each column
x.subRowVector	subtracts a vector from each row
x.subColumnVector	subtracts a vector from each column
x.mulRow	Multiplies a row by a scalar
x.mulColumn	multiplies a row by a column

In principle, you could achieve the same result by first calling getColumn(), adding, and then calling putColumn, but these methods are much faster.

The following comparison operations are available

Operation	Method
x < y	x.lt(y)
x <= y	x.le(y)
x > y	x.gt(y)
x >= y	x.ge(y)
x == y	x.eq(y)
x != y	x.ne(y)

Logical operations are also supported. For these operations, a value different from zero is treated as "true" and zero is treated as "false". All operations are carried out elementwise.

Operation	Method
x & y	x.and(y)
x \| y	x.or(y)
x ^ y	x.xor(y)
! x	x.not()

Finally, there are a few more methods to compute various things:

Method	Description
x.max()	Return maximal element
x.argmax()	Return index of largest element
x.min()	Return minimal element
x.argmin()	Return index of largest element
x.columnMins()	Return column-wise minima
x.columnArgmins()	Return column-wise index of minima
x.columnMaxs()	Return column-wise maxima
x.columnArgmaxs()	Return column-wise index of maxima

@author Mikio Braun, Johannes Schaback

Examples of com.ngt.jopenmetaverse.shared.sim.rendering.math.FloatMatrix

    this.indices = indices;
  }


  public void Render(RenderingContext renderingContext)
  {
    FloatMatrix totalMatrix = renderingContext.getResultingMatrix();
    floatBuffer.position(0);
    floatBuffer.put(totalMatrix.getColumnWiseFlatData()).position(0);
    
    GL20.glUniformMatrix4(renderingContext.getProjectionMatrixUniform(), false, floatBuffer);
    
    GL15.glBindBuffer(GL15.GL_ARRAY_BUFFER, vertexVBOId);

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Examples of com.ngt.jopenmetaverse.shared.sim.rendering.math.FloatMatrix


    // Prim roation and position and scale
    FloatMatrix4x4 srt4x4Matrix= Math3D.convertToFloatMatrix4x4(Math3D.CreateSRTMatrix(Prim.Scale, RenderRotation, RenderPosition));


    //    FloatMatrix totalMatrix = scene.getPerspectiveMatrix().multiply(scene.getTranslationMatrix()).multiply(scene.getRotationMatrix().multiply(srt2Matrix));
    FloatMatrix totalMatrix = scene.getResultingMatrix().multiply(srt4x4Matrix);
    floatBuffer.position(0);
    floatBuffer.put(totalMatrix.getColumnWiseFlatData()).position(0);


    GL20.glUniformMatrix4(scene.getProjectionMatrixUniform(), false, floatBuffer);




    // Do we have animated texture on this face

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Examples of org.jblas.FloatMatrix

          int j = ipiv[i] - 1;
          int t = indices[i];
          indices[i] = indices[j];
          indices[j] = t;
      }
      FloatMatrix result = new FloatMatrix(size, size);
      for (int i = 0; i < size; i++)
          result.put(indices[i], i, 1.0f);
      return result;
  }

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Examples of org.jblas.FloatMatrix


    public BenchmarkResult run(int size, double seconds) {
        int counter = 0;
        long ops = 0;


        FloatMatrix A = randn(size, size);
        FloatMatrix B = randn(size, size);
        FloatMatrix C = randn(size, size);


        Timer t = new Timer();
        t.start();
        while (!t.ranFor(seconds)) {
            A.mmuli(B, C);

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Examples of org.jblas.FloatMatrix


    public BenchmarkResult run(int size, double seconds) {
        int counter = 0;
        long ops = 0;


        FloatMatrix A = randn(size, size);
        FloatMatrix B = randn(size, size);
        FloatMatrix C = randn(size, size);


        Timer t = new Timer();
        t.start();
        while (!t.ranFor(seconds)) {
            A.mmuli(B, C);

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