本文整理了Java中Jama.Matrix.inverse()方法的一些代码示例，展示了Matrix.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。Matrix.inverse()方法的具体详情如下：
包路径：Jama.Matrix
类名称：Matrix
方法名：inverse
暂无
代码示例来源：origin: h2oai/h2o-3
final Matrix inv_hessian = new Matrix(cs._hessian).inverse();
for (int j = 0; j < n_coef; ++j) {
for (int k = 0; k <= j; ++k) {代码示例来源：origin: h2oai/h2o-2
protected void calcModelStats(final double[] newCoef, final double newLoglik) {
final int n_coef = coef.length;
final Matrix inv_hessian = new Matrix(hessian).inverse();
for (int j = 0; j < n_coef; ++j) {
for (int k = 0; k <= j; ++k) {代码示例来源：origin: openimaj/openimaj
@Override
public Matrix refine(Matrix initial, List<? extends IndependentPair<? extends Point2d, ? extends Point2d>> data) {
final Matrix hInv = initial.inverse();
final List<IndependentPair<? extends Point2d, ? extends Point2d>> dataInv = IndependentPair.swapList(data);
return SINGLE_IMAGE_TRANSFER.refine(hInv, dataInv).inverse();
}
},代码示例来源：origin: openimaj/openimaj
@Override
public boolean estimate(List<? extends IndependentPair<Point3d, Point3d>> data) {
this.transform = TransformUtilities.rigidMatrix(data);
try {
transform.inverse();
} catch (final RuntimeException e) {
transform = Matrix.identity(4, 4);
}
return true;
}代码示例来源：origin: org.scijava/jep
public void run(Stack s) throws ParseException
{
Object o = s.pop();
if(!(o instanceof Matrix))
throw new ParseException("inverse: can only be applied to a matrix");
Jama.Matrix m = JamaUtil.toJama((Matrix) o);
Jama.Matrix inv = m.inverse();
Matrix res = JamaUtil.fromJama(inv);
s.push(res);
}代码示例来源：origin: openimaj/openimaj
protected void cacheValues() {
inv_covar = covar.inverse();
pdf_const_factor = 1.0 / Math.sqrt((Math.pow((2 * Math.PI), N) * covar.det()));
chol = covar.chol().getL();
}代码示例来源：origin: net.imglib2/imglib2-realtransform
protected void invert()
{
final Matrix ii = a.inverse();
inverse.a.setMatrix( 0, n - 1, 0, n - 1, ii );
invertT();
}代码示例来源：origin: openimaj/openimaj
/**
* {@inheritDoc}
* @see org.openimaj.vis.DataUnitsTransformer#calculateUnitsAt(java.lang.Object)
*/
@Override
public Double calculateUnitsAt( final double[] position )
{
if( this.transform == null ) this.precalc( );
final Point2d p = new Point2dImpl( (float)position[0], (float)position[1] );
final Point2d p2 = p.transform( this.transform.inverse() );
return new Double(p2.getX());
}代码示例来源：origin: org.openimaj/sandbox
private void applyMetricConstraint() {
final Matrix Q = calculateOrthometricConstraint(R);
R = R.times(Q);
S = Q.inverse().times(S);
}代码示例来源：origin: org.openimaj/object-detection
private void detectObjects(IMAGE image, Matrix transform, List<TransformedDetection<DETECTED_OBJECT>> results) {
if (this.roi != null) {
final Rectangle troi = roi.transform(transform).calculateRegularBoundingBox();
detector.setROI(troi);
}
final List<DETECTED_OBJECT> detections = detector.detect(image);
if (detections == null)
return;
for (final DETECTED_OBJECT o : detections) {
results.add(new TransformedDetection<DETECTED_OBJECT>(o, transform.inverse()));
}
}代码示例来源：origin: org.scijava/jep
public MatrixValueI calcValue(MatrixValueI res, MatrixValueI lhs)
throws ParseException
{
if(!(lhs instanceof Matrix))
throw new ParseException("inverse: can only be applied to a matrix");
if(!(res instanceof Matrix))
throw new ParseException("inverse: result should be a matrix");
Jama.Matrix m = JamaUtil.toJama((Matrix) lhs);
Jama.Matrix inv = m.inverse();
JamaUtil.fromJama(inv,(Matrix) res);
return res;
}代码示例来源：origin: org.openimaj/image-feature-extraction
/**
* @return the mean of the model
*/
public double[] getMean() {
if (mean == null) {
mean = statistics.getMean();
invCovar = new Matrix(statistics.getCovariance().getData()).inverse();
}
return mean;
}代码示例来源：origin: openimaj/openimaj
/**
* @return the mean of the model
*/
public double[] getMean() {
if (mean == null) {
mean = statistics.getMean();
invCovar = new Matrix(statistics.getCovariance().getData()).inverse();
}
return mean;
}代码示例来源：origin: openimaj/openimaj
/**
* @return the inverse of the covariance matrix
*/
public Matrix getInverseCovariance() {
if (mean == null) {
mean = statistics.getMean();
invCovar = new Matrix(statistics.getCovariance().getData()).inverse();
}
return invCovar;
}代码示例来源：origin: openimaj/openimaj
/**
* @return the mean of the model
*/
public double[] getMean() {
if (mean == null) {
mean = statistics.getMean();
invCovar = new Matrix(statistics.getCovariance().getData()).inverse();
}
return mean;
}代码示例来源：origin: org.openimaj/image-feature-extraction
/**
* @return the inverse of the covariance matrix
*/
public Matrix getInverseCovariance() {
if (mean == null) {
mean = statistics.getMean();
invCovar = new Matrix(statistics.getCovariance().getData()).inverse();
}
return invCovar;
}代码示例来源：origin: openimaj/openimaj
void invSimT(SimTData in, SimTData out) {
Matrix M = new Matrix(
new double[][] { { in.a, -in.b }, { in.b, in.a } });
Matrix N = M.inverse();
out.a = N.get(0, 0);
out.b = N.get(1, 0);
out.tx = -1.0 * (N.get(0, 0) * in.tx + N.get(0, 1) * in.ty);
out.ty = -1.0 * (N.get(1, 0) * in.tx + N.get(1, 1) * in.ty);
}代码示例来源：origin: org.openimaj/FaceTracker
void invSimT(SimTData in, SimTData out) {
Matrix M = new Matrix(
new double[][] { { in.a, -in.b }, { in.b, in.a } });
Matrix N = M.inverse();
out.a = N.get(0, 0);
out.b = N.get(1, 0);
out.tx = -1.0 * (N.get(0, 0) * in.tx + N.get(0, 1) * in.ty);
out.ty = -1.0 * (N.get(1, 0) * in.tx + N.get(1, 1) * in.ty);
}代码示例来源：origin: openimaj/openimaj
/**
* @return the covariance of the model
*/
public Matrix getCovariance() {
if (mean == null) {
mean = statistics.getMean();
invCovar = new Matrix(statistics.getCovariance().getData()).inverse();
}
return new Matrix(statistics.getCovariance().getData());
}代码示例来源：origin: org.openimaj/image-feature-extraction
/**
* @return the covariance of the model
*/
public Matrix getCovariance() {
if (mean == null) {
mean = statistics.getMean();
invCovar = new Matrix(statistics.getCovariance().getData()).inverse();
}
return new Matrix(statistics.getCovariance().getData());
}内容来源于网络，如有侵权，请联系作者删除！