本文整理汇总了Java中org.ujmp.core.Matrix.inv方法的典型用法代码示例。如果您正苦于以下问题：Java Matrix.inv方法的具体用法？Java Matrix.inv怎么用？Java Matrix.inv使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.ujmp.core.Matrix的用法示例。
在下文中一共展示了Matrix.inv方法的8个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: testInvRandSmall
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@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();
}
}
示例2: main
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
public static void main(String[] args) throws Exception {
// create a dense empty matrix with 4 rows and 4 columns
Matrix dense = DenseMatrix.Factory.zeros(4, 4);
// set entry at row 2 and column 3 to the value 5.0
dense.setAsDouble(5.0, 2, 3);
// set some other values
dense.setAsDouble(1.0, 0, 0);
dense.setAsDouble(3.0, 1, 1);
dense.setAsDouble(4.0, 2, 2);
dense.setAsDouble(-2.0, 3, 3);
dense.setAsDouble(-2.0, 1, 3);
// print the final matrix on the console
System.out.println(dense);
// create a sparse empty matrix with 4 rows and 4 columns
Matrix sparse = SparseMatrix.Factory.zeros(4, 4);
sparse.setAsDouble(2.0, 0, 0);
// basic calculations
Matrix transpose = dense.transpose();
Matrix sum = dense.plus(sparse);
Matrix difference = dense.minus(sparse);
Matrix matrixProduct = dense.mtimes(sparse);
Matrix scaled = dense.times(2.0);
Matrix inverse = dense.inv();
Matrix pseudoInverse = dense.pinv();
double determinant = dense.det();
Matrix[] singularValueDecomposition = dense.svd();
Matrix[] eigenValueDecomposition = dense.eig();
Matrix[] luDecomposition = dense.lu();
Matrix[] qrDecomposition = dense.qr();
Matrix choleskyDecomposition = dense.chol();
}
示例3: testInvRandLarge
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@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();
}
}
示例4: testInvFixedSmall
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
public final void testInvFixedSmall() throws Exception {
Matrix m1 = createMatrixWithAnnotation(3, 3);
if (!isSupported(m1, MatrixLibraries.INV, MatrixLayout.SQUARE, Size.SMALL, null)) {
return;
}
m1.setAsDouble(1.0, 0, 0);
m1.setAsDouble(2.0, 1, 0);
m1.setAsDouble(3.0, 2, 0);
m1.setAsDouble(4.0, 0, 1);
m1.setAsDouble(1.0, 1, 1);
m1.setAsDouble(2.0, 2, 1);
m1.setAsDouble(3.0, 0, 2);
m1.setAsDouble(7.0, 1, 2);
m1.setAsDouble(1.0, 2, 2);
Matrix m2 = m1.inv();
assertEquals(getLabel(), -0.1970, m2.getAsDouble(0, 0), 0.001);
assertEquals(getLabel(), 0.2879, m2.getAsDouble(1, 0), 0.001);
assertEquals(getLabel(), 0.0152, m2.getAsDouble(2, 0), 0.001);
assertEquals(getLabel(), 0.0303, m2.getAsDouble(0, 1), 0.001);
assertEquals(getLabel(), -0.1212, m2.getAsDouble(1, 1), 0.001);
assertEquals(getLabel(), 0.1515, m2.getAsDouble(2, 1), 0.001);
assertEquals(getLabel(), 0.3788, m2.getAsDouble(0, 2), 0.001);
assertEquals(getLabel(), -0.0152, m2.getAsDouble(1, 2), 0.001);
assertEquals(getLabel(), -0.1061, m2.getAsDouble(2, 2), 0.001);
if (m1 instanceof Erasable) {
((Erasable) m1).erase();
}
if (m2 instanceof Erasable) {
((Erasable) m2).erase();
}
}
示例5: getDensity
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
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());
}
示例6: calculateObjects
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
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;
}
示例7: testInverse
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@Test
public void testInverse() throws Exception {
Matrix ref1 = Matrix.Factory.zeros(3, 3);
ref1.setAsDouble(1.0, 0, 0);
ref1.setAsDouble(2.0, 1, 0);
ref1.setAsDouble(3.0, 2, 0);
ref1.setAsDouble(4.0, 0, 1);
ref1.setAsDouble(1.0, 1, 1);
ref1.setAsDouble(2.0, 2, 1);
ref1.setAsDouble(3.0, 0, 2);
ref1.setAsDouble(7.0, 1, 2);
ref1.setAsDouble(1.0, 2, 2);
Matrix ref2 = ref1.inv();
for (Class<? extends Matrix> mclass : ALLFLOATMATRIXCLASSES) {
// JBlas not supported for 64 bit on windows
if (System.getProperty("os.name").toLowerCase().contains("windows")
&& System.getProperty("java.vm.name").contains("64")
&& mclass.getName().startsWith("org.ujmp.jblas")) {
continue;
}
Matrix m1 = getMatrix(mclass, ref1);
if (m1.getClass().getName().startsWith("org.ujmp.owlpack.")) {
return;
}
if (m1.getClass().getName().startsWith("org.ujmp.mtj.")) {
// mtj has an error with inverse?!
return;
}
Matrix m2 = m1.inv();
Matrix m3 = m1.pinv();
Matrix m4 = m1.ginv();
assertEquals(mclass.toString(), 0.0, ref2.minus(m2).getRMS(), TOLERANCE);
assertEquals(mclass.toString(), 0.0, ref2.minus(m3).getRMS(), TOLERANCE);
assertEquals(mclass.toString(), 0.0, ref2.minus(m4).getRMS(), TOLERANCE);
}
}
示例8: getDensityUnscaled
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
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());
}