本文整理了Java中org.ujmp.core.Matrix.inv()方法的一些代码示例，展示了Matrix.inv()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。Matrix.inv()方法的具体详情如下：
包路径：org.ujmp.core.Matrix
类名称：Matrix
方法名：inv

Matrix.inv介绍

暂无

代码示例

代码示例来源：origin: jdmp/java-data-mining-package

public Map<String, Object> calculateObjects(Map<String, Object> input) {
  Map<String, Object> result = new HashMap<String, Object>();
  Matrix source = MathUtil.getMatrix(input.get(SOURCE));
  Matrix target = source.inv();
  result.put(TARGET, target);
  return result;
}

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

public Object call() {
  Matrix result = getMatrixObject().getMatrix().inv();
  return result;
}

代码示例来源：origin: jdmp/java-data-mining-package

public static double getDensityUnscaled(Matrix x, Matrix mean, Matrix covariance) {
  Matrix xmean = x.minus(mean);
  Matrix inverse = covariance.inv();
  Matrix matrix = xmean.mtimes(inverse).mtimes(xmean.transpose());
  return Math.exp(-0.5 * matrix.doubleValue());
}

代码示例来源：origin: jdmp/java-data-mining-package

public static double getDensity(Matrix x, Matrix mean, Matrix covariance) {
  Matrix xmean = x.minus(mean);
  Matrix inverse = covariance.inv();
  double f = 1.0 / Math.sqrt(covariance.det() * Math.pow(2.0 * Math.PI, x.getColumnCount()));
  Matrix matrix = xmean.mtimes(inverse).mtimes(xmean.transpose());
  return f * Math.exp(-0.5 * matrix.doubleValue());
}

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

ref1.setAsDouble(7.0, 1, 2);
ref1.setAsDouble(1.0, 2, 2);
Matrix ref2 = ref1.inv();
  Matrix m2 = m1.inv();
  Matrix m3 = m1.pinv();
  Matrix m4 = m1.ginv();

代码示例来源：origin: jdmp/java-data-mining-package

public void trainAll(ListDataSet dataSet) {
  featureCount = getFeatureCount(dataSet);
  classCount = getClassCount(dataSet);
  dimensions = featureCount + classCount;
  Matrix x = Matrix.Factory.zeros(dataSet.size(), dimensions);
  int i = 0;
  for (Sample s : dataSet) {
    Matrix input = s.getAsMatrix(getInputLabel()).toColumnVector(Ret.LINK);
    for (int c = 0; c < featureCount; c++) {
      x.setAsDouble(input.getAsDouble(0, c), i, c);
    }
    Matrix target = s.getAsMatrix(getTargetLabel()).toColumnVector(Ret.LINK);
    for (int c = 0; c < classCount; c++) {
      x.setAsDouble(target.getAsDouble(0, c), i, c + featureCount);
    }
    i++;
  }
  meanMatrix = x.mean(Ret.NEW, Matrix.ROW, true);
  covarianceMatrix = x.cov(Ret.NEW, true, true);
  try {
    inverse = covarianceMatrix.inv();
    factor = 1.0 / Math.sqrt(covarianceMatrix.det() * Math.pow(2.0 * Math.PI, dimensions));
  } catch (Exception e) {
    inverse = covarianceMatrix.pinv();
    factor = 1.0;
  }
}

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

Matrix scaled = dense.times(2.0);
Matrix inverse = dense.inv();
Matrix pseudoInverse = dense.pinv();
double determinant = dense.det();

代码示例来源：origin: org.ujmp/ujmp-examples

Matrix scaled = dense.times(2.0);
Matrix inverse = dense.inv();
Matrix pseudoInverse = dense.pinv();
double determinant = dense.det();

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

@Test
public final void testInvRandSmall() throws Exception {
  Matrix m1 = createMatrixWithAnnotation(10, 10);
  do {
    m1.randn(Ret.ORIG);
  } while (m1.isSingular());
  Matrix m2 = m1.inv();
  Matrix m3 = m1.mtimes(m2);
  Matrix eye = DenseDoubleMatrix2D.Factory.eye(m1.getRowCount(), m1.getColumnCount());
  assertEquals(getLabel(), 0.0, eye.minus(m3).getEuklideanValue(), TOLERANCE);
  if (m1 instanceof Erasable) {
    ((Erasable) m1).erase();
  }
  if (m2 instanceof Erasable) {
    ((Erasable) m2).erase();
  }
  if (m3 instanceof Erasable) {
    ((Erasable) m3).erase();
  }
  if (eye instanceof Erasable) {
    ((Erasable) eye).erase();
  }
}

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

@Test
public final void testInvRandLarge() throws Exception {
  if (!isTestLarge()) {
    return;
  }
  Matrix m1 = createMatrixWithAnnotation(128, 128);
  do {
    m1.randn(Ret.ORIG);
  } while (m1.isSingular());
  Matrix m2 = m1.inv();
  Matrix m3 = m1.mtimes(m2);
  Matrix eye = DenseDoubleMatrix2D.Factory.eye(m1.getRowCount(), m1.getColumnCount());
  assertEquals(getLabel(), 0.0, eye.minus(m3).getEuklideanValue(), TOLERANCE);
  if (m1 instanceof Erasable) {
    ((Erasable) m1).erase();
  }
  if (m2 instanceof Erasable) {
    ((Erasable) m2).erase();
  }
  if (m3 instanceof Erasable) {
    ((Erasable) m3).erase();
  }
  if (eye instanceof Erasable) {
    ((Erasable) eye).erase();
  }
}

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

m1.setAsDouble(1.0, 2, 2);
Matrix m2 = m1.inv();