cern.colt.matrix.linalg.Algebra.inverse()方法的使用及代码示例

x33g5p2x  于2022-01-17 转载在 其他  
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本文整理了Java中cern.colt.matrix.linalg.Algebra.inverse()方法的一些代码示例，展示了Algebra.inverse()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Algebra.inverse()方法的具体详情如下：
包路径：cern.colt.matrix.linalg.Algebra
类名称：Algebra
方法名：inverse

Algebra.inverse介绍

[英]Returns the inverse or pseudo-inverse of matrix A.
[中]返回矩阵A的逆矩阵或伪逆矩阵。

代码示例

代码示例来源：origin: ujmp/universal-java-matrix-package

public Matrix inv() {
  return new ColtDenseDoubleMatrix2D((DenseDoubleMatrix2D) Algebra.DEFAULT.inverse(matrix));
}

代码示例来源：origin: org.ujmp/ujmp-colt

public Matrix inv() {
  return new ColtDenseDoubleMatrix2D((DenseDoubleMatrix2D) Algebra.DEFAULT.inverse(matrix));
}

代码示例来源：origin: ca.umontreal.iro/ssj

public double density (double[] x) {
 double sum = 0.0;
 if (invSigma == null)
   invSigma = algebra.inverse(sigma);
 double[] temp = new double[mu.length];
 for (int i = 0; i < mu.length; i++)
 {
   sum = 0.0;
   for (int j = 0; j < mu.length; j++)
    sum += ((x[j] - mu[j]) * invSigma.getQuick (j, i));
   temp[i] = sum;
 }
 sum = 0.0;
 for (int i = 0; i < mu.length; i++)
   sum += temp[i] * (x[i] - mu[i]);
 return (Math.exp(-0.5 * sum) / Math.sqrt (Math.pow (2 * Math.PI, mu.length) * algebra.det (sigma)));
}

代码示例来源：origin: lessthanoptimal/Java-Matrix-Benchmark

@Override
  public long process(BenchmarkMatrix[] inputs, BenchmarkMatrix[] outputs, long numTrials) {
    DenseDoubleMatrix2D matA = inputs[0].getOriginal();
    Algebra alg = new Algebra();
    DoubleMatrix2D result = null;
    long prev = System.nanoTime();
    for( long i = 0; i < numTrials; i++ ) {
      result = alg.inverse(matA);
    }
    long elapsed = System.nanoTime()-prev;
    if( outputs != null ) {
      outputs[0] = new ColtBenchmarkMatrix(result);
    }
    return elapsed;
  }
}

代码示例来源：origin: ca.umontreal.iro/ssj

/**
* Computes the density of the multinormal distribution
*    with parameters <SPAN CLASS="MATH"><I><B>&mu;</B></I> =</SPAN> <TT>mu</TT>  and 
* <SPAN CLASS="MATH"><I><B>&Sigma;</B></I> =</SPAN> <TT>sigma</TT>,
*   evaluated at <TT>x</TT>.
* 
*/
public static double density (double[] mu, double[][] sigma, double[] x) {
 double sum = 0.0;
 DoubleMatrix2D sig;
 DoubleMatrix2D inv;
 if (sigma.length != sigma[0].length)
   throw new IllegalArgumentException ("sigma must be a square matrix");
 if (mu.length != sigma.length)
   throw new IllegalArgumentException ("mu and sigma must have the same dimension");
 sig = new DenseDoubleMatrix2D (sigma);
 inv = algebra.inverse (sig);
 double[] temp = new double[mu.length];
 for (int i = 0; i < mu.length; i++)
 {
   sum = 0.0;
   for (int j = 0; j < mu.length; j++)
    sum += ((x[j] - mu[j]) * inv.getQuick (j, i));
   temp[i] = sum;
 }
 sum = 0.0;
 for (int i = 0; i < mu.length; i++)
   sum += temp[i] * (x[i] - mu[i]);
 return (Math.exp(-0.5 * sum) / Math.sqrt (Math.pow (2 * Math.PI, mu.length) * algebra.det (sig)));
}

代码示例来源：origin: blazegraph/database

/**
 */
public static void doubleTest34() {
  double[][] data = 
  { 
    { 3, 0, 0, 0 },
    { 0, 4, 2, 0 },
    { 0, 0, 0, 0 },
    { 0, 0, 0, 0 },
  };
  
  DoubleMatrix2D A = new DenseDoubleMatrix2D(data);
  Property.DEFAULT.generateNonSingular(A);
  DoubleMatrix2D inv = Algebra.DEFAULT.inverse(A);

  System.out.println("\n\n\n"+A);
  System.out.println("\n"+inv);
  DoubleMatrix2D B = A.zMult(inv,null);
  System.out.println(B);
  if (!(B.equals(DoubleFactory2D.dense.identity(A.rows)))) {
    throw new InternalError();
  }
}
/**

代码示例来源：origin: blazegraph/database

/**
 */
public static void doubleTest25(int size) {

  
System.out.println("\n\n");
System.out.println("initializing...");
boolean dense = true;
DoubleMatrix2D A;
DoubleFactory2D factory;
if (dense) 
  factory = Factory2D.dense;
else 
  factory = Factory2D.sparse;
  
double value = 0.5;
A = factory.make(size,size,value);
Property.generateNonSingular(A);
cern.colt.Timer timer = new cern.colt.Timer().start();

System.out.println(A);
System.out.println(Algebra.ZERO.inverse(A));

timer.stop().display();

System.out.println("done.");
  
}
/**

代码示例来源：origin: org.ujmp/ujmp-colt

public Matrix inv() {
  return new ColtDenseDoubleMatrix2D((DenseDoubleMatrix2D) new Algebra().inverse(matrix));
}

代码示例来源：origin: com.blazegraph/colt

System.out.println(Algebra.ZERO.inverse(A));

代码示例来源：origin: com.blazegraph/colt

/**
 */
public static void doubleTest34() {
  double[][] data = 
  { 
    { 3, 0, 0, 0 },
    { 0, 4, 2, 0 },
    { 0, 0, 0, 0 },
    { 0, 0, 0, 0 },
  };
  
  DoubleMatrix2D A = new DenseDoubleMatrix2D(data);
  Property.DEFAULT.generateNonSingular(A);
  DoubleMatrix2D inv = Algebra.DEFAULT.inverse(A);

  System.out.println("\n\n\n"+A);
  System.out.println("\n"+inv);
  DoubleMatrix2D B = A.zMult(inv,null);
  System.out.println(B);
  if (!(B.equals(DoubleFactory2D.dense.identity(A.rows)))) {
    throw new InternalError();
  }
}
/**

代码示例来源：origin: com.blazegraph/colt

/**
 */
public static void doubleTest25(int size) {

  
System.out.println("\n\n");
System.out.println("initializing...");
boolean dense = true;
DoubleMatrix2D A;
DoubleFactory2D factory;
if (dense) 
  factory = Factory2D.dense;
else 
  factory = Factory2D.sparse;
  
double value = 0.5;
A = factory.make(size,size,value);
Property.generateNonSingular(A);
cern.colt.Timer timer = new cern.colt.Timer().start();

System.out.println(A);
System.out.println(Algebra.ZERO.inverse(A));

timer.stop().display();

System.out.println("done.");
  
}
/**

代码示例来源：origin: ujmp/universal-java-matrix-package

public Matrix inv() {
  return new ColtDenseDoubleMatrix2D((DenseDoubleMatrix2D) new Algebra().inverse(matrix));
}

代码示例来源：origin: blazegraph/database

System.out.println(Algebra.ZERO.inverse(A));

代码示例来源：origin: com.blazegraph/colt

inverseQMatrix      = Algebra.DEFAULT.inverse (QMatrix);
pseudoInverseMatrix = Algebra.DEFAULT.mult (inverseQMatrix,transposeMatrix);
weightMatrix        = Algebra.DEFAULT.mult (patternMatrix,pseudoInverseMatrix);

代码示例来源：origin: blazegraph/database

inverseQMatrix      = Algebra.DEFAULT.inverse (QMatrix);
pseudoInverseMatrix = Algebra.DEFAULT.mult (inverseQMatrix,transposeMatrix);
weightMatrix        = Algebra.DEFAULT.mult (patternMatrix,pseudoInverseMatrix);

代码示例来源：origin: blazegraph/database

System.out.println("\nHplus="+H.viewDice().zMult(H,null));
DoubleMatrix2D Hplus = Algebra.DEFAULT.inverse(H.viewDice().zMult( H,null )).zMult(H.viewDice(),null);
Hplus.assign(cern.jet.math.Functions.round(1.0E-10));
System.out.println("\nHplus="+Hplus);

代码示例来源：origin: com.blazegraph/colt

System.out.println("\nHplus="+H.viewDice().zMult(H,null));
DoubleMatrix2D Hplus = Algebra.DEFAULT.inverse(H.viewDice().zMult( H,null )).zMult(H.viewDice(),null);
Hplus.assign(cern.jet.math.Functions.round(1.0E-10));
System.out.println("\nHplus="+Hplus);

代码示例来源：origin: cmu-phil/tetrad

DoubleMatrix2D K = algebra.inverse(factory.diagonal(factory.diagonal(S)));
    int[] b = complement(all, a);
    DoubleMatrix2D a1 = S.viewSelection(a, a);
    DoubleMatrix2D a2 = algebra.inverse(a1);
    DoubleMatrix2D a3 = K.viewSelection(a, b);
    DoubleMatrix2D a4 = K.viewSelection(b, b);
    DoubleMatrix2D a5 = algebra.inverse(a4);
    DoubleMatrix2D a6 = K.viewSelection(b, a).copy();
    DoubleMatrix2D a7 = algebra.mult(a3, a5);
DoubleMatrix2D V = algebra.inverse(K);
double dev = lik(algebra.inverse(V), S, n, k);

代码示例来源：origin: blazegraph/database

DoubleMatrix2D inv = null;
for (int run=0; run<runs; run++) {
   inv = LinearAlgebra.inverse(A);

代码示例来源：origin: com.blazegraph/colt

DoubleMatrix2D inv = null;
for (int run=0; run<runs; run++) {
   inv = LinearAlgebra.inverse(A);

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