本文整理汇总了Java中org.ujmp.core.Matrix.minus方法的典型用法代码示例。如果您正苦于以下问题:Java Matrix.minus方法的具体用法?Java Matrix.minus怎么用?Java Matrix.minus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.minus方法的15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: testMinusScalarSmall
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@Test
public final void testMinusScalarSmall() throws Exception {
Matrix m = createMatrixWithAnnotation(2, 2);
m.setAsDouble(1.0, 0, 0);
m.setAsDouble(2.0, 0, 1);
m.setAsDouble(3.0, 1, 0);
m.setAsDouble(4.0, 1, 1);
Matrix r = m.minus(1.0);
assertEquals(getLabel(), 0.0, r.getAsDouble(0, 0), TOLERANCE);
assertEquals(getLabel(), 1.0, r.getAsDouble(0, 1), TOLERANCE);
assertEquals(getLabel(), 2.0, r.getAsDouble(1, 0), TOLERANCE);
assertEquals(getLabel(), 3.0, r.getAsDouble(1, 1), TOLERANCE);
assertEquals(getLabel(), 1.0, m.getAsDouble(0, 0), TOLERANCE);
assertEquals(getLabel(), 2.0, m.getAsDouble(0, 1), TOLERANCE);
assertEquals(getLabel(), 3.0, m.getAsDouble(1, 0), TOLERANCE);
assertEquals(getLabel(), 4.0, m.getAsDouble(1, 1), TOLERANCE);
if (m instanceof Erasable) {
((Erasable) m).erase();
}
if (r instanceof Erasable) {
((Erasable) r).erase();
}
}
示例2: test0Minus0Matrix
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@Test
public final void test0Minus0Matrix() throws Exception {
Matrix m1 = createMatrixWithAnnotation(5, 7);
Matrix m2 = createMatrixWithAnnotation(5, 7);
Matrix m3 = m1.minus(m2);
assertTrue(getLabel(), m3.isEmpty());
if (m1 instanceof Erasable) {
((Erasable) m1).erase();
}
if (m2 instanceof Erasable) {
((Erasable) m2).erase();
}
if (m3 instanceof Erasable) {
((Erasable) m3).erase();
}
}
示例3: testXMinus0Matrix
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@Test
public final void testXMinus0Matrix() throws Exception {
Matrix m1 = createMatrixWithAnnotation(5, 7);
Matrix m2 = createMatrixWithAnnotation(5, 7);
m1.randn(Ret.ORIG);
Matrix m3 = m1.minus(m2);
assertEquals(getLabel(), m1, m3);
if (m1 instanceof Erasable) {
((Erasable) m1).erase();
}
if (m2 instanceof Erasable) {
((Erasable) m2).erase();
}
if (m3 instanceof Erasable) {
((Erasable) m3).erase();
}
}
示例4: test0MinusXMatrix
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@Test
public final void test0MinusXMatrix() throws Exception {
Matrix m1 = createMatrixWithAnnotation(5, 7);
Matrix m2 = createMatrixWithAnnotation(5, 7);
m2.randn(Ret.ORIG);
Matrix m3 = m1.minus(m2);
Matrix m4 = m2.times(-1);
assertEquals(getLabel(), m4, m3);
if (m1 instanceof Erasable) {
((Erasable) m1).erase();
}
if (m2 instanceof Erasable) {
((Erasable) m2).erase();
}
if (m3 instanceof Erasable) {
((Erasable) m3).erase();
}
if (m4 instanceof Erasable) {
((Erasable) m4).erase();
}
}
示例5: 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6: getDouble
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
public double getDouble(long... coordinates) {
if (ret == null) {
Matrix max = new Max(getDimension(), getSource()).calcNew();
Matrix min = new Min(getDimension(), getSource()).calcNew();
Matrix range = max.minus(min);
Matrix diff = null;
switch (getDimension()) {
case ROW:
diff = getSource().minus(Matrix.Factory.vertCat(min, getSource().getRowCount()));
break;
case COLUMN:
diff = getSource().minus(Matrix.Factory.horCat(min, getSource().getColumnCount()));
break;
default:
diff = getSource().minus(min);
break;
}
switch (getDimension()) {
case ROW:
ret = diff.divide(Matrix.Factory.vertCat(range, getSource().getRowCount()));
break;
case COLUMN:
ret = diff.divide(Matrix.Factory.horCat(range, getSource().getColumnCount()));
break;
default:
ret = diff.divide(range);
break;
}
}
return ret.getAsDouble(coordinates);
}
示例7: testMinusScalarLarge
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@Test
public final void testMinusScalarLarge() throws Exception {
if (!isTestLarge()) {
return;
}
Matrix m = createMatrixWithAnnotation(124, 114);
m.setAsDouble(1.0, 0, 0);
m.setAsDouble(2.0, 0, 1);
m.setAsDouble(3.0, 1, 0);
m.setAsDouble(4.0, 1, 1);
Matrix r = m.minus(1.0);
assertEquals(getLabel(), 0.0, r.getAsDouble(0, 0), TOLERANCE);
assertEquals(getLabel(), 1.0, r.getAsDouble(0, 1), TOLERANCE);
assertEquals(getLabel(), 2.0, r.getAsDouble(1, 0), TOLERANCE);
assertEquals(getLabel(), 3.0, r.getAsDouble(1, 1), TOLERANCE);
assertEquals(getLabel(), 1.0, m.getAsDouble(0, 0), TOLERANCE);
assertEquals(getLabel(), 2.0, m.getAsDouble(0, 1), TOLERANCE);
assertEquals(getLabel(), 3.0, m.getAsDouble(1, 0), TOLERANCE);
assertEquals(getLabel(), 4.0, m.getAsDouble(1, 1), TOLERANCE);
if (m instanceof Erasable) {
((Erasable) m).erase();
}
if (r instanceof Erasable) {
((Erasable) r).erase();
}
}
示例8: testMinusMatrixSmall
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@Test
public final void testMinusMatrixSmall() throws Exception {
Matrix m1 = createMatrixWithAnnotation(2, 2);
Matrix m2 = createMatrixWithAnnotation(2, 2);
m1.setAsDouble(1.0, 0, 0);
m1.setAsDouble(2.0, 0, 1);
m1.setAsDouble(3.0, 1, 0);
m1.setAsDouble(4.0, 1, 1);
m2.setAsDouble(0.0, 0, 0);
m2.setAsDouble(1.0, 0, 1);
m2.setAsDouble(2.0, 1, 0);
m2.setAsDouble(3.0, 1, 1);
Matrix r = m1.minus(m2);
assertEquals(getLabel(), 1.0, r.getAsDouble(0, 0), TOLERANCE);
assertEquals(getLabel(), 1.0, r.getAsDouble(0, 1), TOLERANCE);
assertEquals(getLabel(), 1.0, r.getAsDouble(1, 0), TOLERANCE);
assertEquals(getLabel(), 1.0, r.getAsDouble(1, 1), TOLERANCE);
assertEquals(getLabel(), 1.0, m1.getAsDouble(0, 0), TOLERANCE);
assertEquals(getLabel(), 2.0, m1.getAsDouble(0, 1), TOLERANCE);
assertEquals(getLabel(), 3.0, m1.getAsDouble(1, 0), TOLERANCE);
assertEquals(getLabel(), 4.0, m1.getAsDouble(1, 1), TOLERANCE);
assertEquals(getLabel(), 0.0, m2.getAsDouble(0, 0), TOLERANCE);
assertEquals(getLabel(), 1.0, m2.getAsDouble(0, 1), TOLERANCE);
assertEquals(getLabel(), 2.0, m2.getAsDouble(1, 0), TOLERANCE);
assertEquals(getLabel(), 3.0, m2.getAsDouble(1, 1), TOLERANCE);
if (m1 instanceof Erasable) {
((Erasable) m1).erase();
}
if (m2 instanceof Erasable) {
((Erasable) m2).erase();
}
if (r instanceof Erasable) {
((Erasable) r).erase();
}
}
示例9: predictOne
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
public final void predictOne(Sample sample) {
Matrix predicted = predictOne(sample.getAsMatrix(getInputLabel()));
predicted = predicted.toColumnVector(Ret.LINK);
sample.put(PREDICTED, predicted);
if (sample.getAsMatrix(getTargetLabel()) != null) {
Matrix target = sample.getAsMatrix(getTargetLabel()).toColumnVector(Ret.LINK);
Matrix error = target.minus(predicted);
sample.put(DIFFERENCE, error);
sample.put(RMSE, Matrix.Factory.linkToValue(error.getRMS()));
}
sample.fireValueChanged();
}
示例10: testMinusMatrixLarge
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@Test
public void testMinusMatrixLarge() throws Exception {
Matrix ref1 = DenseDoubleMatrix2D.Factory.randn(101, 100);
Matrix ref2 = DenseDoubleMatrix2D.Factory.randn(101, 100);
Matrix ref3 = ref1.minus(Ret.LINK, true, ref2);
for (Class<? extends Matrix> mclass : ALLFLOATMATRIXCLASSES) {
Matrix m1 = getMatrix(mclass, ref1);
Matrix m2 = getMatrix(mclass, ref2);
Matrix m3 = m1.minus(m2);
assertEquals(mclass.toString(), 0.0, ref3.minus(m3).getRMS(), TOLERANCE);
}
}
示例11: testPlusScalarSmall
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@Test
public void testPlusScalarSmall() throws Exception {
Matrix ref1 = DenseDoubleMatrix2D.Factory.randn(11, 10);
double ref2 = MathUtil.nextDouble();
Matrix ref3 = ref1.plus(Ret.LINK, true, ref2);
for (Class<? extends Matrix> mclass : ALLFLOATMATRIXCLASSES) {
Matrix m1 = getMatrix(mclass, ref1);
Matrix m3 = m1.plus(ref2);
Matrix delta = ref3.minus(m3);
assertEquals(mclass.toString(), 0.0, delta.getRMS(), TOLERANCE);
}
}
示例12: testMinusScalarLarge
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@Test
public void testMinusScalarLarge() throws Exception {
Matrix ref1 = DenseDoubleMatrix2D.Factory.randn(101, 100);
double ref2 = MathUtil.nextDouble();
Matrix ref3 = ref1.minus(Ret.LINK, true, ref2);
for (Class<? extends Matrix> mclass : ALLFLOATMATRIXCLASSES) {
Matrix m1 = getMatrix(mclass, ref1);
Matrix m3 = m1.minus(ref2);
assertEquals(mclass.toString(), 0.0, ref3.minus(m3).getRMS(), TOLERANCE);
}
}
示例13: testMinusScalarSmall
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
@Test
public void testMinusScalarSmall() throws Exception {
Matrix ref1 = DenseDoubleMatrix2D.Factory.randn(11, 10);
double ref2 = MathUtil.nextDouble();
Matrix ref3 = ref1.minus(Ret.LINK, true, ref2);
for (Class<? extends Matrix> mclass : ALLFLOATMATRIXCLASSES) {
Matrix m1 = getMatrix(mclass, ref1);
Matrix m3 = m1.minus(ref2);
assertEquals(mclass.toString(), 0.0, ref3.minus(m3).getRMS(), TOLERANCE);
}
}
示例14: 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15: difference
import org.ujmp.core.Matrix; //导入方法依赖的package包/类
public static double difference(Matrix m1, Matrix m2) {
Matrix d = m1.minus(m2);
// return normF(d).doubleValue();
return d.normF();
}