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Java 类gnu.trove.iterator.TLongFloatIterator 实例源码

项目：fnlp    文件：SparseMatrix.java    
public SparseMatrix mutiplyMatrix(SparseMatrix a){
    int m = this.size()[0];
    int n = a.size()[1];
    int dim[]={m,n};
    SparseMatrix matrix = new SparseMatrix(dim);
     TLongFloatIterator it = this.vector.iterator();
     TLongFloatIterator ita = a.vector.iterator();
    for (int i = this.vector.size(); i-- > 0;) 
    {
        it.advance();
        ita = a.vector.iterator();
        for(int j = a.vector.size(); j-- > 0;)
        {
            ita.advance();
            if(this.getIndices(it.key())[1]==a.getIndices(ita.key())[0])
            {
                int []indices = {this.getIndices(it.key())[0],a.getIndices(ita.key())[1]};
                matrix.set(indices, matrix.elementAt(indices)+it.value()*ita.value());
            }                   
        }
    }
    return matrix;
}
项目：fnlp    文件：Nmf.java    
SparseMatrix updateW() {

        int[] dimVWH = { m, n };
        int[] dimWVWHH = { m, r };

        SparseMatrix matrixVWH = new SparseMatrix(dimVWH);
        SparseMatrix matrixWVWHH = new SparseMatrix(dimWVWHH);
        SparseMatrix matrixWH = w.mutiplyMatrix(h);
         TLongFloatIterator itV = v.vector.iterator();
        TLongFloatIterator itW = w.vector.iterator();
        for (int i = v.vector.size(); i-- > 0;) {
            itV.advance();
            matrixVWH.set(itV.key(),
                    itV.value() / (matrixWH.elementAt(itV.key()) + eps));
        }
        SparseMatrix matrixTranH = h.trans();

        SparseMatrix matrixVWHH = matrixVWH.mutiplyMatrix(matrixTranH);
        for (int i = w.vector.size(); i-- > 0;) {
            itW.advance();
            matrixWVWHH.set(itW.key(),
                    itW.value() * matrixVWHH.elementAt(itW.key()));
        }
        return matrixWVWHH;
    }
项目：fnlp    文件：Nmf.java    
/**
 * 矩阵归一化
 * 
 * @param matrix
 * @return 归一化后矩阵
 */
SparseMatrix normalized(SparseMatrix matrix) {
    int ySize = matrix.size()[1];
    float ySum[] = new float[ySize];
    TLongFloatIterator it = matrix.vector.iterator();
    for (int i = matrix.vector.size(); i-- > 0;) {
        it.advance();
        ySum[matrix.getIndices(it.key())[1]] += it.value();
    }
    it = matrix.vector.iterator();
    for (int i = matrix.vector.size(); i-- > 0;) {
        it.advance();
        matrix.set(it.key(), it.value()
                / (ySum[matrix.getIndices(it.key())[1]] + eps));
    }
    return matrix;
}
项目：fudannlp    文件：SparseMatrix.java    
public SparseMatrix mutiplyMatrix(SparseMatrix a){
    int m = this.size()[0];
    int n = a.size()[1];
    int dim[]={m,n};
    SparseMatrix matrix = new SparseMatrix(dim);
     TLongFloatIterator it = this.vector.iterator();
     TLongFloatIterator ita = a.vector.iterator();
    for (int i = this.vector.size(); i-- > 0;) 
    {
        it.advance();
        ita = a.vector.iterator();
        for(int j = a.vector.size(); j-- > 0;)
        {
            ita.advance();
            if(this.getIndices(it.key())[1]==a.getIndices(ita.key())[0])
            {
                int []indices = {this.getIndices(it.key())[0],a.getIndices(ita.key())[1]};
                matrix.set(indices, matrix.elementAt(indices)+it.value()*ita.value());
            }                   
        }
    }
    return matrix;
}
项目：fudannlp    文件：Nmf.java    
SparseMatrix updateW() {

        int[] dimVWH = { m, n };
        int[] dimWVWHH = { m, r };

        SparseMatrix matrixVWH = new SparseMatrix(dimVWH);
        SparseMatrix matrixWVWHH = new SparseMatrix(dimWVWHH);
        SparseMatrix matrixWH = w.mutiplyMatrix(h);
         TLongFloatIterator itV = v.vector.iterator();
        TLongFloatIterator itW = w.vector.iterator();
        for (int i = v.vector.size(); i-- > 0;) {
            itV.advance();
            matrixVWH.set(itV.key(),
                    itV.value() / (matrixWH.elementAt(itV.key()) + eps));
        }
        SparseMatrix matrixTranH = h.trans();

        SparseMatrix matrixVWHH = matrixVWH.mutiplyMatrix(matrixTranH);
        for (int i = w.vector.size(); i-- > 0;) {
            itW.advance();
            matrixWVWHH.set(itW.key(),
                    itW.value() * matrixVWHH.elementAt(itW.key()));
        }
        return matrixWVWHH;
    }
项目：fudannlp    文件：Nmf.java    
/**
 * 矩阵归一化
 * 
 * @param matrix
 * @return 归一化后矩阵
 */
SparseMatrix normalized(SparseMatrix matrix) {
    int ySize = matrix.size()[1];
    float ySum[] = new float[ySize];
    TLongFloatIterator it = matrix.vector.iterator();
    for (int i = matrix.vector.size(); i-- > 0;) {
        it.advance();
        ySum[matrix.getIndices(it.key())[1]] += it.value();
    }
    it = matrix.vector.iterator();
    for (int i = matrix.vector.size(); i-- > 0;) {
        it.advance();
        matrix.set(it.key(), it.value()
                / (ySum[matrix.getIndices(it.key())[1]] + eps));
    }
    return matrix;
}
项目：fnlp    文件：SparseMatrix.java    
/**
 * @param mat
 * Sep 6, 2009
 */
public void minus(SparseMatrix mat) {
    TLongFloatIterator it = mat.vector.iterator();
    for (int i = mat.vector.size(); i-- > 0;) 
    {
        it.advance();
        vector.put(it.key(),vector.get(it.key()) - it.value());
    }

}
项目：fnlp    文件：SparseMatrix.java    
public void add(SparseMatrix mat) {
    TLongFloatIterator it = mat.vector.iterator();
    for (int i = mat.vector.size(); i-- > 0;) 
    {
        it.advance();
        vector.put(it.key(),vector.get(it.key()) + it.value());
    }

}
项目：fnlp    文件：SparseMatrix.java    
public float l1Norm()   {
    float norm = 0;
    TLongFloatIterator it = vector.iterator();
    for (int i = vector.size(); i-- > 0;) {
        it.advance();
        norm += Math.abs(it.value());
    }
    return norm;
}
项目：fnlp    文件：SparseMatrix.java    
public float l2Norm()   {
    float norm = 0;
    TLongFloatIterator it = vector.iterator();
    for (int i = vector.size(); i-- > 0;) {
        it.advance();
        norm += it.value()*it.value();
    }
    return (float) Math.sqrt(norm);
}
项目：fnlp    文件：SparseMatrix.java    
public float infinityNorm() {
    float norm = 0;
    TLongFloatIterator it = vector.iterator();
    for (int i = vector.size(); i-- > 0;) {
        it.advance();
        if (Math.abs(it.value()) > norm)
            norm = Math.abs(it.value());
    }
    it=null;
    return norm;
}
项目：fnlp    文件：SparseMatrix.java    
/**
 * @return
 * Sep 6, 2009
 */
public SparseMatrix trans() {
    int []newdim = {dim[1],dim[0]};
    SparseMatrix newmat = new SparseMatrix(newdim);
    TLongFloatIterator itW = vector.iterator();
    for (int i = vector.size(); i-- > 0;) 
    {
        itW.advance();
        int x = getIndices(itW.key())[0];
        int y = getIndices(itW.key())[1];
        int []TranWIndices = {y,x};
        newmat.set(TranWIndices,itW.value());
    }
    return newmat;
}
项目：fnlp    文件：Nmf.java    
SparseMatrix updateH() {

        int[] dimWH = { m, n };
        int[] dimVWH = { m, n };
        int[] dimHWVWH = { r, n };

        SparseMatrix matrixWH = new SparseMatrix(dimWH);
        SparseMatrix matrixVWH = new SparseMatrix(dimVWH);
        SparseMatrix matrixHWVWH = new SparseMatrix(dimHWVWH);
        matrixWH = w.mutiplyMatrix(h);

         TLongFloatIterator itV = v.vector.iterator();

         TLongFloatIterator itH = h.vector.iterator();
        for (int i = v.vector.size(); i-- > 0;) {
            itV.advance();
            matrixVWH.set(itV.key(),
                    itV.value() / (matrixWH.elementAt(itV.key()) + eps));
        }

        SparseMatrix matrixTranW = w.trans();

        SparseMatrix matrixWVWH = matrixTranW.mutiplyMatrix(matrixVWH);
        for (int i = h.vector.size(); i-- > 0;) {
            itH.advance();
            matrixHWVWH.set(itH.key(),
                    itH.value() * matrixWVWH.elementAt(itH.key()));
        }
        return matrixHWVWH;
    }
项目：fudannlp    文件：SparseMatrix.java    
/**
 * @param mat
 * Sep 6, 2009
 */
public void minus(SparseMatrix mat) {
    TLongFloatIterator it = mat.vector.iterator();
    for (int i = mat.vector.size(); i-- > 0;) 
    {
        it.advance();
        vector.put(it.key(),vector.get(it.key()) - it.value());
    }

}
项目：fudannlp    文件：SparseMatrix.java    
public void add(SparseMatrix mat) {
    TLongFloatIterator it = mat.vector.iterator();
    for (int i = mat.vector.size(); i-- > 0;) 
    {
        it.advance();
        vector.put(it.key(),vector.get(it.key()) + it.value());
    }

}
项目：fudannlp    文件：SparseMatrix.java    
public float l1Norm()   {
    float norm = 0;
    TLongFloatIterator it = vector.iterator();
    for (int i = vector.size(); i-- > 0;) {
        it.advance();
        norm += Math.abs(it.value());
    }
    return norm;
}
项目：fudannlp    文件：SparseMatrix.java    
public float l2Norm()   {
    float norm = 0;
    TLongFloatIterator it = vector.iterator();
    for (int i = vector.size(); i-- > 0;) {
        it.advance();
        norm += it.value()*it.value();
    }
    return (float) Math.sqrt(norm);
}
项目：fudannlp    文件：SparseMatrix.java    
public float infinityNorm() {
    float norm = 0;
    TLongFloatIterator it = vector.iterator();
    for (int i = vector.size(); i-- > 0;) {
        it.advance();
        if (Math.abs(it.value()) > norm)
            norm = Math.abs(it.value());
    }
    it=null;
    return norm;
}
项目：fudannlp    文件：SparseMatrix.java    
/**
 * @return
 * Sep 6, 2009
 */
public SparseMatrix trans() {
    int []newdim = {dim[1],dim[0]};
    SparseMatrix newmat = new SparseMatrix(newdim);
    TLongFloatIterator itW = vector.iterator();
    for (int i = vector.size(); i-- > 0;) 
    {
        itW.advance();
        int x = getIndices(itW.key())[0];
        int y = getIndices(itW.key())[1];
        int []TranWIndices = {y,x};
        newmat.set(TranWIndices,itW.value());
    }
    return newmat;
}
项目：fudannlp    文件：Nmf.java    
SparseMatrix updateH() {

        int[] dimWH = { m, n };
        int[] dimVWH = { m, n };
        int[] dimHWVWH = { r, n };

        SparseMatrix matrixWH = new SparseMatrix(dimWH);
        SparseMatrix matrixVWH = new SparseMatrix(dimVWH);
        SparseMatrix matrixHWVWH = new SparseMatrix(dimHWVWH);
        matrixWH = w.mutiplyMatrix(h);

         TLongFloatIterator itV = v.vector.iterator();

         TLongFloatIterator itH = h.vector.iterator();
        for (int i = v.vector.size(); i-- > 0;) {
            itV.advance();
            matrixVWH.set(itV.key(),
                    itV.value() / (matrixWH.elementAt(itV.key()) + eps));
        }

        SparseMatrix matrixTranW = w.trans();

        SparseMatrix matrixWVWH = matrixTranW.mutiplyMatrix(matrixVWH);
        for (int i = h.vector.size(); i-- > 0;) {
            itH.advance();
            matrixHWVWH.set(itH.key(),
                    itH.value() * matrixWVWH.elementAt(itH.key()));
        }
        return matrixHWVWH;
    }
项目：pre-cu    文件：AutoDeltaLongFloatMap.java    
public TLongFloatIterator iterator() {
    return container.iterator();
}