本文整理汇总了Java中org.apache.commons.math3.linear.ArrayFieldVector类的典型用法代码示例。如果您正苦于以下问题:Java ArrayFieldVector类的具体用法?Java ArrayFieldVector怎么用?Java ArrayFieldVector使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
ArrayFieldVector类属于org.apache.commons.math3.linear包,在下文中一共展示了ArrayFieldVector类的5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: AdamsNordsieckTransformer
import org.apache.commons.math3.linear.ArrayFieldVector; //导入依赖的package包/类
/** Simple constructor.
* @param n number of steps of the multistep method
* (excluding the one being computed)
*/
private AdamsNordsieckTransformer(final int n) {
final int rows = n - 1;
// compute exact coefficients
FieldMatrix<BigFraction> bigP = buildP(rows);
FieldDecompositionSolver<BigFraction> pSolver =
new FieldLUDecomposition<BigFraction>(bigP).getSolver();
BigFraction[] u = new BigFraction[rows];
Arrays.fill(u, BigFraction.ONE);
BigFraction[] bigC1 = pSolver.solve(new ArrayFieldVector<BigFraction>(u, false)).toArray();
// update coefficients are computed by combining transform from
// Nordsieck to multistep, then shifting rows to represent step advance
// then applying inverse transform
BigFraction[][] shiftedP = bigP.getData();
for (int i = shiftedP.length - 1; i > 0; --i) {
// shift rows
shiftedP[i] = shiftedP[i - 1];
}
shiftedP[0] = new BigFraction[rows];
Arrays.fill(shiftedP[0], BigFraction.ZERO);
FieldMatrix<BigFraction> bigMSupdate =
pSolver.solve(new Array2DRowFieldMatrix<BigFraction>(shiftedP, false));
// convert coefficients to double
update = MatrixUtils.bigFractionMatrixToRealMatrix(bigMSupdate);
c1 = new double[rows];
for (int i = 0; i < rows; ++i) {
c1[i] = bigC1[i].doubleValue();
}
}
示例2: AdamsNordsieckFieldTransformer
import org.apache.commons.math3.linear.ArrayFieldVector; //导入依赖的package包/类
/** Simple constructor.
* @param field field to which the time and state vector elements belong
* @param n number of steps of the multistep method
* (excluding the one being computed)
*/
private AdamsNordsieckFieldTransformer(final Field<T> field, final int n) {
this.field = field;
final int rows = n - 1;
// compute coefficients
FieldMatrix<T> bigP = buildP(rows);
FieldDecompositionSolver<T> pSolver =
new FieldLUDecomposition<T>(bigP).getSolver();
T[] u = MathArrays.buildArray(field, rows);
Arrays.fill(u, field.getOne());
c1 = pSolver.solve(new ArrayFieldVector<T>(u, false)).toArray();
// update coefficients are computed by combining transform from
// Nordsieck to multistep, then shifting rows to represent step advance
// then applying inverse transform
T[][] shiftedP = bigP.getData();
for (int i = shiftedP.length - 1; i > 0; --i) {
// shift rows
shiftedP[i] = shiftedP[i - 1];
}
shiftedP[0] = MathArrays.buildArray(field, rows);
Arrays.fill(shiftedP[0], field.getZero());
update = new Array2DRowFieldMatrix<T>(pSolver.solve(new Array2DRowFieldMatrix<T>(shiftedP, false)).getData());
}
示例3: AdamsNordsieckTransformer
import org.apache.commons.math3.linear.ArrayFieldVector; //导入依赖的package包/类
/** Simple constructor.
* @param nSteps number of steps of the multistep method
* (excluding the one being computed)
*/
private AdamsNordsieckTransformer(final int nSteps) {
// compute exact coefficients
FieldMatrix<BigFraction> bigP = buildP(nSteps);
FieldDecompositionSolver<BigFraction> pSolver =
new FieldLUDecomposition<BigFraction>(bigP).getSolver();
BigFraction[] u = new BigFraction[nSteps];
Arrays.fill(u, BigFraction.ONE);
BigFraction[] bigC1 = pSolver
.solve(new ArrayFieldVector<BigFraction>(u, false)).toArray();
// update coefficients are computed by combining transform from
// Nordsieck to multistep, then shifting rows to represent step advance
// then applying inverse transform
BigFraction[][] shiftedP = bigP.getData();
for (int i = shiftedP.length - 1; i > 0; --i) {
// shift rows
shiftedP[i] = shiftedP[i - 1];
}
shiftedP[0] = new BigFraction[nSteps];
Arrays.fill(shiftedP[0], BigFraction.ZERO);
FieldMatrix<BigFraction> bigMSupdate =
pSolver.solve(new Array2DRowFieldMatrix<BigFraction>(shiftedP, false));
// convert coefficients to double
update = MatrixUtils.bigFractionMatrixToRealMatrix(bigMSupdate);
c1 = new double[nSteps];
for (int i = 0; i < nSteps; ++i) {
c1[i] = bigC1[i].doubleValue();
}
}
示例4: get_start_state
import org.apache.commons.math3.linear.ArrayFieldVector; //导入依赖的package包/类
private FieldVector<Complex> get_start_state(final String qubits) {
FieldVector<Complex> state = new ArrayFieldVector<Complex>(ComplexField.getInstance(), (int) Math.pow(2, qubits.length()));
state.setEntry(Integer.parseInt(qubits, 2), new Complex(1));
return state;
}
示例5: toCMFieldElementVector
import org.apache.commons.math3.linear.ArrayFieldVector; //导入依赖的package包/类
/**
* Convert JAS <code>RingElem</code> to commons-math
* <code>FieldElement</code>.
* @param <C> ring element type
* @param v JAS vector of ring elements
* @return commons-math vector of CMFieldElementr objects
*/
public static <C extends RingElem<C>> FieldVector<CMFieldElement<C>> toCMFieldElementVector(GenVector<C> v) {
if (v == null) {
return null;
}
return new ArrayFieldVector<CMFieldElement<C>>(CMFieldElementUtil.<C> toCMFieldElement(v.val));
}