Uses of Class
com.opengamma.strata.math.impl.interpolation.PiecewisePolynomialResult

Packages that use PiecewisePolynomialResult

Package	Description
com.opengamma.strata.math.impl.function
com.opengamma.strata.math.impl.interpolation

Uses of PiecewisePolynomialResult in com.opengamma.strata.math.impl.function

Methods in com.opengamma.strata.math.impl.function with parameters of type PiecewisePolynomialResult

Modifier and Type	Method and Description
DoubleArray	PiecewisePolynomialFunction1D.differentiate(PiecewisePolynomialResult pp, double xKey) Finds the first derivatives.
DoubleMatrix	PiecewisePolynomialFunction1D.differentiate(PiecewisePolynomialResult pp, double[] xKeys) Finds the first derivatives.
DoubleArray	PiecewisePolynomialFunction1D.differentiateTwice(PiecewisePolynomialResult pp, double xKey) Finds the second derivatives.
DoubleMatrix	PiecewisePolynomialFunction1D.differentiateTwice(PiecewisePolynomialResult pp, double[] xKeys) Finds the second derivatives.
DoubleArray	PiecewisePolynomialFunction1D.evaluate(PiecewisePolynomialResult pp, double xKey) Evaluates the function.
DoubleMatrix	PiecewisePolynomialFunction1D.evaluate(PiecewisePolynomialResult pp, double[] xKeys) Evaluates the function.
DoubleMatrix[]	PiecewisePolynomialFunction1D.evaluate(PiecewisePolynomialResult pp, double[][] xKeys) Evaluates the function.
ValueDerivatives	PiecewisePolynomialFunction1D.evaluateAndDifferentiate(PiecewisePolynomialResult pp, double xKey) Evaluates the function and its first derivative.
double	PiecewisePolynomialFunction1D.integrate(PiecewisePolynomialResult pp, double initialKey, double xKey) Integration.
DoubleArray	PiecewisePolynomialFunction1D.integrate(PiecewisePolynomialResult pp, double initialKey, double[] xKeys) Integration.

Uses of PiecewisePolynomialResult in com.opengamma.strata.math.impl.interpolation

Subclasses of PiecewisePolynomialResult in com.opengamma.strata.math.impl.interpolation

Modifier and Type	Class and Description
class	PiecewisePolynomialResultsWithSensitivity Result of interpolation by piecewise polynomial containing knots: Positions of knots coefMatrix: Coefficient matrix whose i-th row vector is { a_n, a_{n-1}, ...} for the i-th interval, where a_n, a_{n-1},...

Methods in com.opengamma.strata.math.impl.interpolation that return PiecewisePolynomialResult

Modifier and Type	Method and Description
PiecewisePolynomialResult	NonnegativityPreservingCubicSplineInterpolator.interpolate(double[] xValues, double[] yValues)
PiecewisePolynomialResult	NaturalSplineInterpolator.interpolate(double[] xValues, double[] yValues)
PiecewisePolynomialResult	MonotonicityPreservingCubicSplineInterpolator.interpolate(double[] xValues, double[] yValues)
PiecewisePolynomialResult	LinearInterpolator.interpolate(double[] xValues, double[] yValues)
PiecewisePolynomialResult	CubicSplineInterpolator.interpolate(double[] xValues, double[] yValues) If (xValues length) = (yValues length), Not-A-Knot endpoint conditions are used.
PiecewisePolynomialResult	ConstrainedCubicSplineInterpolator.interpolate(double[] xValues, double[] yValues)
PiecewisePolynomialResult	ClampedPiecewisePolynomialInterpolator.interpolate(double[] xValues, double[] yValues)
PiecewisePolynomialResult	SemiLocalCubicSplineInterpolator.interpolate(double[] xValues, double[] yValues)
PiecewisePolynomialResult	ProductPiecewisePolynomialInterpolator.interpolate(double[] xValues, double[] yValues)
abstract PiecewisePolynomialResult	PiecewisePolynomialInterpolator.interpolate(double[] xValues, double[] yValues) Interpolate.
PiecewisePolynomialResult	PiecewiseCubicHermiteSplineInterpolatorWithSensitivity.interpolate(double[] xValues, double[] yValues)
PiecewisePolynomialResult	PiecewiseCubicHermiteSplineInterpolator.interpolate(double[] xValues, double[] yValues)
PiecewisePolynomialResult	NonnegativityPreservingCubicSplineInterpolator.interpolate(double[] xValues, double[][] yValuesMatrix)
PiecewisePolynomialResult	NaturalSplineInterpolator.interpolate(double[] xValues, double[][] yValuesMatrix)
PiecewisePolynomialResult	MonotonicityPreservingCubicSplineInterpolator.interpolate(double[] xValues, double[][] yValuesMatrix)
PiecewisePolynomialResult	LinearInterpolator.interpolate(double[] xValues, double[][] yValuesMatrix)
PiecewisePolynomialResult	CubicSplineInterpolator.interpolate(double[] xValues, double[][] yValuesMatrix) If (xValues length) = (yValuesMatrix NumberOfColumn), Not-A-Knot endpoint conditions are used.
PiecewisePolynomialResult	ConstrainedCubicSplineInterpolator.interpolate(double[] xValues, double[][] yValuesMatrix)
PiecewisePolynomialResult	ClampedPiecewisePolynomialInterpolator.interpolate(double[] xValues, double[][] yValuesMatrix)
PiecewisePolynomialResult	SemiLocalCubicSplineInterpolator.interpolate(double[] xValues, double[][] yValuesMatrix)
PiecewisePolynomialResult	ProductPiecewisePolynomialInterpolator.interpolate(double[] xValues, double[][] yValuesMatrix)
abstract PiecewisePolynomialResult	PiecewisePolynomialInterpolator.interpolate(double[] xValues, double[][] yValuesMatrix) Interpolate.
PiecewisePolynomialResult	PiecewiseCubicHermiteSplineInterpolatorWithSensitivity.interpolate(double[] xValues, double[][] yValuesMatrix)
PiecewisePolynomialResult	PiecewiseCubicHermiteSplineInterpolator.interpolate(double[] xValues, double[][] yValuesMatrix)