本文整理了Java中cern.colt.matrix.linalg.Algebra.det()方法的一些代码示例，展示了Algebra.det()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.det()方法的具体详情如下：
包路径：cern.colt.matrix.linalg.Algebra
类名称：Algebra
方法名：det

Algebra.det介绍

[英]Returns the determinant of matrix A.
[中]返回矩阵A的行列式。

代码示例

代码示例来源：origin: blazegraph/database

/**
 * A matrix <tt>A</tt> is <i>singular</i> if it has no inverse, that is, iff <tt>det(A)==0</tt>.
 */
public boolean isSingular(DoubleMatrix2D A) {
  return !(Math.abs(Algebra.DEFAULT.det(A)) >= tolerance());
}
/**

代码示例来源：origin: com.blazegraph/colt

/**
 * A matrix <tt>A</tt> is <i>singular</i> if it has no inverse, that is, iff <tt>det(A)==0</tt>.
 */
public boolean isSingular(DoubleMatrix2D A) {
  return !(Math.abs(Algebra.DEFAULT.det(A)) >= tolerance());
}
/**

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();
    long prev = System.nanoTime();
    for( long i = 0; i < numTrials; i++ ) {
      alg.det(matA);
    }
    return System.nanoTime()-prev;
  }
}

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: cmu-phil/tetrad

private double lik(DoubleMatrix2D K, DoubleMatrix2D S, int n, int k) {
  Algebra algebra = new Algebra();
  DoubleMatrix2D SK = algebra.mult(S, K);
  return (algebra.trace(SK) - Math.log(algebra.det(SK)) - k) * n;
}

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

try { values.add(String.valueOf(det(matrix)));} 
catch (IllegalArgumentException exc) { values.add(unknown+exc.getMessage()); }

代码示例来源：origin: com.blazegraph/colt

try { values.add(String.valueOf(det(matrix)));} 
catch (IllegalArgumentException exc) { values.add(unknown+exc.getMessage()); }