Package | Description |
---|---|
org.hipparchus |
Common classes used throughout the Hipparchus library.
|
org.hipparchus.analysis.function |
The
function package contains function objects that wrap the
methods contained in Math , as well as common
mathematical functions such as the gaussian and sinc functions. |
org.hipparchus.analysis.integration |
Numerical integration (quadrature) algorithms for univariate real functions.
|
org.hipparchus.analysis.interpolation |
Univariate real functions interpolation algorithms.
|
org.hipparchus.analysis.polynomials |
Univariate real polynomials implementations, seen as differentiable
univariate real functions.
|
org.hipparchus.analysis.solvers |
Root finding algorithms, for univariate real functions.
|
org.hipparchus.complex |
Complex number type and implementations of complex transcendental
functions.
|
org.hipparchus.fraction |
Fraction number type and fraction number formatting.
|
org.hipparchus.linear |
Linear algebra support.
|
org.hipparchus.random |
Random number and random data generators.
|
org.hipparchus.util |
Convenience routines and common data structures used throughout the Hipparchus library.
|
Modifier and Type | Method and Description |
---|---|
T |
FieldElement.add(T a)
Compute this + a.
|
T |
FieldElement.divide(T a)
Compute this ÷ a.
|
T |
FieldElement.multiply(T a)
Compute this × a.
|
T |
FieldElement.subtract(T a)
Compute this - a.
|
Modifier and Type | Method and Description |
---|---|
double[] |
Logit.Parametric.gradient(double x,
double... param)
Computes the value of the gradient at
x . |
double[] |
HarmonicOscillator.Parametric.gradient(double x,
double... param)
Computes the value of the gradient at
x . |
double[] |
Logistic.Parametric.gradient(double x,
double... param)
Computes the value of the gradient at
x . |
double[] |
Sigmoid.Parametric.gradient(double x,
double... param)
Computes the value of the gradient at
x . |
double[] |
Gaussian.Parametric.gradient(double x,
double... param)
Computes the value of the gradient at
x . |
double |
Logit.Parametric.value(double x,
double... param)
Computes the value of the logit at
x . |
double |
HarmonicOscillator.Parametric.value(double x,
double... param)
Computes the value of the harmonic oscillator at
x . |
double |
Logistic.Parametric.value(double x,
double... param)
Computes the value of the sigmoid at
x . |
double |
Sigmoid.Parametric.value(double x,
double... param)
Computes the value of the sigmoid at
x . |
double |
Gaussian.Parametric.value(double x,
double... param)
Computes the value of the Gaussian at
x . |
Constructor and Description |
---|
StepFunction(double[] x,
double[] y)
Builds a step function from a list of arguments and the corresponding
values.
|
Modifier and Type | Method and Description |
---|---|
T |
BaseAbstractFieldUnivariateIntegrator.integrate(int maxEval,
CalculusFieldUnivariateFunction<T> f,
T lower,
T upper)
Integrate the function in the given interval.
|
T |
FieldUnivariateIntegrator.integrate(int maxEval,
CalculusFieldUnivariateFunction<T> f,
T min,
T max)
Integrate the function in the given interval.
|
double |
UnivariateIntegrator.integrate(int maxEval,
UnivariateFunction f,
double min,
double max)
Integrate the function in the given interval.
|
double |
BaseAbstractUnivariateIntegrator.integrate(int maxEval,
UnivariateFunction f,
double lower,
double upper)
Integrate the function in the given interval.
|
protected void |
BaseAbstractFieldUnivariateIntegrator.setup(int maxEval,
CalculusFieldUnivariateFunction<T> f,
T lower,
T upper)
Prepare for computation.
|
protected void |
BaseAbstractUnivariateIntegrator.setup(int maxEval,
UnivariateFunction f,
double lower,
double upper)
Prepare for computation.
|
Modifier and Type | Method and Description |
---|---|
void |
FieldHermiteInterpolator.addSamplePoint(T x,
T[]... value)
Add a sample point.
|
double[][] |
HermiteInterpolator.derivatives(double x,
int order)
Interpolate value and first derivatives at a specified abscissa.
|
T[][] |
FieldHermiteInterpolator.derivatives(T x,
int order)
Interpolate value and first derivatives at a specified abscissa.
|
MultivariateFunction |
MicrosphereProjectionInterpolator.interpolate(double[][] xval,
double[] yval)
Computes an interpolating function for the data set.
|
MultivariateFunction |
MultivariateInterpolator.interpolate(double[][] xval,
double[] yval)
Computes an interpolating function for the data set.
|
PiecewiseBicubicSplineInterpolatingFunction |
PiecewiseBicubicSplineInterpolator.interpolate(double[] xval,
double[] yval,
double[][] fval)
Compute an interpolating function for the dataset.
|
T[] |
FieldHermiteInterpolator.value(T x)
Interpolate value at a specified abscissa.
|
Constructor and Description |
---|
PiecewiseBicubicSplineInterpolatingFunction(double[] x,
double[] y,
double[][] f) |
Modifier and Type | Method and Description |
---|---|
protected static double[] |
PolynomialFunction.differentiate(double[] coefficients)
Returns the coefficients of the derivative of the polynomial with the given coefficients.
|
protected static <T extends CalculusFieldElement<T>> |
FieldPolynomialFunction.differentiate(T[] coefficients)
Returns the coefficients of the derivative of the polynomial with the given coefficients.
|
protected static double |
PolynomialFunction.evaluate(double[] coefficients,
double argument)
Uses Horner's Method to evaluate the polynomial with the given coefficients at
the argument.
|
static double |
PolynomialFunctionNewtonForm.evaluate(double[] a,
double[] c,
double z)
Evaluate the Newton polynomial using nested multiplication.
|
protected static <T extends CalculusFieldElement<T>> |
FieldPolynomialFunction.evaluate(T[] coefficients,
T argument)
Uses Horner's Method to evaluate the polynomial with the given coefficients at
the argument.
|
<T extends Derivative<T>> |
PolynomialFunction.value(T t)
Compute the value for the function.
|
<T extends CalculusFieldElement<T>> |
PolynomialFunction.value(T t)
Compute the value of the function.
|
protected static void |
PolynomialFunctionNewtonForm.verifyInputArray(double[] a,
double[] c)
Verifies that the input arrays are valid.
|
Constructor and Description |
---|
FieldPolynomialFunction(T[] c)
Construct a polynomial with the given coefficients.
|
FieldPolynomialSplineFunction(T[] knots,
FieldPolynomialFunction<T>[] polynomials)
Construct a polynomial spline function with the given segment delimiters
and interpolating polynomials.
|
PolynomialFunction(double[] c)
Construct a polynomial with the given coefficients.
|
PolynomialFunctionNewtonForm(double[] a,
double[] c)
Construct a Newton polynomial with the given a[] and c[].
|
PolynomialSplineFunction(double[] knots,
PolynomialFunction[] polynomials)
Construct a polynomial spline function with the given segment delimiters
and interpolating polynomials.
|
Modifier and Type | Method and Description |
---|---|
static <T extends CalculusFieldElement<T>> |
UnivariateSolverUtils.bracket(CalculusFieldUnivariateFunction<T> function,
T initial,
T lowerBound,
T upperBound)
This method simply calls
bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations)
with q and r set to 1.0 and maximumIterations set to Integer.MAX_VALUE . |
static <T extends CalculusFieldElement<T>> |
UnivariateSolverUtils.bracket(CalculusFieldUnivariateFunction<T> function,
T initial,
T lowerBound,
T upperBound,
int maximumIterations)
This method simply calls
bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations)
with q and r set to 1.0. |
static double[] |
UnivariateSolverUtils.bracket(UnivariateFunction function,
double initial,
double lowerBound,
double upperBound)
This method simply calls
bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations)
with q and r set to 1.0 and maximumIterations set to Integer.MAX_VALUE . |
static double[] |
UnivariateSolverUtils.bracket(UnivariateFunction function,
double initial,
double lowerBound,
double upperBound,
int maximumIterations)
This method simply calls
bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations)
with q and r set to 1.0. |
static boolean |
UnivariateSolverUtils.isBracketing(UnivariateFunction function,
double lower,
double upper)
Check whether the interval bounds bracket a root.
|
protected void |
BaseAbstractUnivariateSolver.setup(int maxEval,
F f,
double min,
double max,
double startValue)
Prepare for computation.
|
T |
FieldBracketingNthOrderBrentSolver.solve(int maxEval,
CalculusFieldUnivariateFunction<T> f,
T min,
T max,
AllowedSolution allowedSolution)
Solve for a zero in the given interval.
|
T |
FieldBracketingNthOrderBrentSolver.solve(int maxEval,
CalculusFieldUnivariateFunction<T> f,
T min,
T max,
T startValue,
AllowedSolution allowedSolution)
Solve for a zero in the given interval, start at
startValue . |
static double |
UnivariateSolverUtils.solve(UnivariateFunction function,
double x0,
double x1)
Convenience method to find a zero of a univariate real function.
|
static double |
UnivariateSolverUtils.solve(UnivariateFunction function,
double x0,
double x1,
double absoluteAccuracy)
Convenience method to find a zero of a univariate real function.
|
Complex[] |
LaguerreSolver.solveAllComplex(double[] coefficients,
double initial)
Find all complex roots for the polynomial with the given
coefficients, starting from the given initial value.
|
Complex |
LaguerreSolver.solveComplex(double[] coefficients,
double initial)
Find a complex root for the polynomial with the given coefficients,
starting from the given initial value.
|
protected void |
BaseAbstractUnivariateSolver.verifyBracketing(double lower,
double upper)
Check that the endpoints specify an interval and the function takes
opposite signs at the endpoints.
|
static void |
UnivariateSolverUtils.verifyBracketing(UnivariateFunction function,
double lower,
double upper)
Check that the endpoints specify an interval and the end points
bracket a root.
|
Modifier and Type | Method and Description |
---|---|
Complex |
Complex.add(Complex addend)
Returns a
Complex whose value is
(this + addend) . |
FieldComplex<T> |
FieldComplex.add(FieldComplex<T> addend)
Returns a
Complex whose value is
(this + addend) . |
Complex |
Complex.divide(Complex divisor)
Returns a
Complex whose value is
(this / divisor) . |
FieldComplex<T> |
FieldComplex.divide(FieldComplex<T> divisor)
Returns a
Complex whose value is
(this / divisor) . |
static ComplexFormat |
ComplexFormat.getComplexFormat(String imaginaryCharacter,
Locale locale)
Returns the default complex format for the given locale.
|
Complex |
Complex.multiply(Complex factor)
Returns a
Complex whose value is this * factor . |
FieldComplex<T> |
FieldComplex.multiply(FieldComplex<T> factor)
Returns a
Complex whose value is this * factor . |
Complex |
Complex.pow(Complex x)
Returns of value of this complex number raised to the power of
x . |
FieldComplex<T> |
FieldComplex.pow(FieldComplex<T> x)
Returns of value of this complex number raised to the power of
x . |
Complex |
Complex.subtract(Complex subtrahend)
Returns a
Complex whose value is
(this - subtrahend) . |
FieldComplex<T> |
FieldComplex.subtract(FieldComplex<T> subtrahend)
Returns a
Complex whose value is
(this - subtrahend) . |
Constructor and Description |
---|
ComplexFormat(NumberFormat format)
Create an instance with a custom number format for both real and
imaginary parts.
|
ComplexFormat(NumberFormat realFormat,
NumberFormat imaginaryFormat)
Create an instance with a custom number format for the real part and a
custom number format for the imaginary part.
|
ComplexFormat(String imaginaryCharacter)
Create an instance with a custom imaginary character, and the default
number format for both real and imaginary parts.
|
ComplexFormat(String imaginaryCharacter,
NumberFormat format)
Create an instance with a custom imaginary character, and a custom number
format for both real and imaginary parts.
|
ComplexFormat(String imaginaryCharacter,
NumberFormat realFormat,
NumberFormat imaginaryFormat)
Create an instance with a custom imaginary character, a custom number
format for the real part, and a custom number format for the imaginary
part.
|
Modifier and Type | Method and Description |
---|---|
BigFraction |
BigFraction.add(BigInteger bg)
Adds the value of this fraction to the passed
BigInteger ,
returning the result in reduced form. |
Modifier and Type | Method and Description |
---|---|
FieldVector<T> |
SparseFieldVector.append(T d)
Construct a vector by appending a T to this vector.
|
protected static void |
PreconditionedIterativeLinearSolver.checkParameters(RealLinearOperator a,
RealLinearOperator m,
RealVector b,
RealVector x0)
Performs all dimension checks on the parameters of
solve
and
solveInPlace ,
and throws an exception if one of the checks fails. |
protected static void |
IterativeLinearSolver.checkParameters(RealLinearOperator a,
RealVector b,
RealVector x0)
Performs all dimension checks on the parameters of
solve and
solveInPlace ,
and throws an exception if one of the checks fails. |
static void |
MatrixUtils.checkSubMatrixIndex(AnyMatrix m,
int[] selectedRows,
int[] selectedColumns)
Check if submatrix ranges indices are valid.
|
protected void |
AbstractFieldMatrix.checkSubMatrixIndex(int[] selectedRows,
int[] selectedColumns)
Check if submatrix ranges indices are valid.
|
void |
AbstractRealMatrix.copySubMatrix(int[] selectedRows,
int[] selectedColumns,
double[][] destination)
Copy a submatrix.
|
void |
RealMatrix.copySubMatrix(int[] selectedRows,
int[] selectedColumns,
double[][] destination)
Copy a submatrix.
|
void |
AbstractFieldMatrix.copySubMatrix(int[] selectedRows,
int[] selectedColumns,
T[][] destination)
Copy a submatrix.
|
void |
FieldMatrix.copySubMatrix(int[] selectedRows,
int[] selectedColumns,
T[][] destination)
Copy a submatrix.
|
static <T extends FieldElement<T>> |
MatrixUtils.createColumnFieldMatrix(T[] columnData)
Creates a column
FieldMatrix using the data from the input
array. |
static RealMatrix |
MatrixUtils.createColumnRealMatrix(double[] columnData)
Creates a column
RealMatrix using the data from the input
array. |
static <T extends FieldElement<T>> |
MatrixUtils.createFieldMatrix(T[][] data)
Returns a
FieldMatrix whose entries are the the values in the
the input array. |
static <T extends FieldElement<T>> |
MatrixUtils.createFieldVector(T[] data)
Creates a
FieldVector using the data from the input array. |
static RealMatrix |
MatrixUtils.createRealMatrix(double[][] data)
Returns a
RealMatrix whose entries are the the values in the
the input array. |
static RealVector |
MatrixUtils.createRealVector(double[] data)
Creates a
RealVector using the data from the input array. |
static <T extends FieldElement<T>> |
MatrixUtils.createRowFieldMatrix(T[] rowData)
Create a row
FieldMatrix using the data from the input
array. |
static RealMatrix |
MatrixUtils.createRowRealMatrix(double[] rowData)
Create a row
RealMatrix using the data from the input
array. |
protected static <T extends FieldElement<T>> |
AbstractFieldMatrix.extractField(T[][] d)
Get the elements type from an array.
|
FieldMatrix<T> |
AbstractFieldMatrix.getSubMatrix(int[] selectedRows,
int[] selectedColumns)
Get a submatrix.
|
RealMatrix |
AbstractRealMatrix.getSubMatrix(int[] selectedRows,
int[] selectedColumns)
Gets a submatrix.
|
FieldMatrix<T> |
FieldMatrix.getSubMatrix(int[] selectedRows,
int[] selectedColumns)
Get a submatrix.
|
RealMatrix |
RealMatrix.getSubMatrix(int[] selectedRows,
int[] selectedColumns)
Gets a submatrix.
|
static RealMatrix |
MatrixUtils.inverse(RealMatrix matrix)
Computes the inverse of the given matrix.
|
static RealMatrix |
MatrixUtils.inverse(RealMatrix matrix,
double threshold)
Computes the inverse of the given matrix.
|
FieldVector<T> |
SparseFieldVector.mapAdd(T d)
Map an addition operation to each entry.
|
FieldVector<T> |
FieldVector.mapAdd(T d)
Map an addition operation to each entry.
|
FieldVector<T> |
ArrayFieldVector.mapAdd(T d)
Map an addition operation to each entry.
|
FieldVector<T> |
SparseFieldVector.mapAddToSelf(T d)
Map an addition operation to each entry.
|
FieldVector<T> |
FieldVector.mapAddToSelf(T d)
Map an addition operation to each entry.
|
FieldVector<T> |
ArrayFieldVector.mapAddToSelf(T d)
Map an addition operation to each entry.
|
FieldVector<T> |
SparseFieldVector.mapDivide(T d)
Map a division operation to each entry.
|
FieldVector<T> |
FieldVector.mapDivide(T d)
Map a division operation to each entry.
|
FieldVector<T> |
ArrayFieldVector.mapDivide(T d)
Map a division operation to each entry.
|
FieldVector<T> |
SparseFieldVector.mapDivideToSelf(T d)
Map a division operation to each entry.
|
FieldVector<T> |
FieldVector.mapDivideToSelf(T d)
Map a division operation to each entry.
|
FieldVector<T> |
ArrayFieldVector.mapDivideToSelf(T d)
Map a division operation to each entry.
|
FieldVector<T> |
SparseFieldVector.mapMultiply(T d)
Map a multiplication operation to each entry.
|
FieldVector<T> |
FieldVector.mapMultiply(T d)
Map a multiplication operation to each entry.
|
FieldVector<T> |
ArrayFieldVector.mapMultiply(T d)
Map a multiplication operation to each entry.
|
FieldVector<T> |
SparseFieldVector.mapMultiplyToSelf(T d)
Map a multiplication operation to each entry.
|
FieldVector<T> |
FieldVector.mapMultiplyToSelf(T d)
Map a multiplication operation to each entry.
|
FieldVector<T> |
ArrayFieldVector.mapMultiplyToSelf(T d)
Map a multiplication operation to each entry.
|
FieldVector<T> |
SparseFieldVector.mapSubtract(T d)
Map a subtraction operation to each entry.
|
FieldVector<T> |
FieldVector.mapSubtract(T d)
Map a subtraction operation to each entry.
|
FieldVector<T> |
ArrayFieldVector.mapSubtract(T d)
Map a subtraction operation to each entry.
|
FieldVector<T> |
SparseFieldVector.mapSubtractToSelf(T d)
Map a subtraction operation to each entry.
|
FieldVector<T> |
FieldVector.mapSubtractToSelf(T d)
Map a subtraction operation to each entry.
|
FieldVector<T> |
ArrayFieldVector.mapSubtractToSelf(T d)
Map a subtraction operation to each entry.
|
void |
SparseFieldVector.setEntry(int index,
T value)
Set a single element.
|
void |
BlockRealMatrix.setSubMatrix(double[][] subMatrix,
int row,
int column)
Replace the submatrix starting at
row, column using data in the
input subMatrix array. |
void |
AbstractRealMatrix.setSubMatrix(double[][] subMatrix,
int row,
int column)
Replace the submatrix starting at
row, column using data in the
input subMatrix array. |
void |
RealMatrix.setSubMatrix(double[][] subMatrix,
int row,
int column)
Replace the submatrix starting at
row, column using data in the
input subMatrix array. |
void |
Array2DRowRealMatrix.setSubMatrix(double[][] subMatrix,
int row,
int column)
Replace the submatrix starting at
row, column using data in the
input subMatrix array. |
void |
Array2DRowFieldMatrix.setSubMatrix(T[][] subMatrix,
int row,
int column)
Replace the submatrix starting at
(row, column) using data in the
input subMatrix array. |
void |
BlockFieldMatrix.setSubMatrix(T[][] subMatrix,
int row,
int column)
Replace the submatrix starting at
(row, column) using data in the
input subMatrix array. |
void |
AbstractFieldMatrix.setSubMatrix(T[][] subMatrix,
int row,
int column)
Replace the submatrix starting at
(row, column) using data in the
input subMatrix array. |
void |
FieldMatrix.setSubMatrix(T[][] subMatrix,
int row,
int column)
Replace the submatrix starting at
(row, column) using data in the
input subMatrix array. |
RealVector |
PreconditionedIterativeLinearSolver.solve(RealLinearOperator a,
RealLinearOperator m,
RealVector b)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealLinearOperator m,
RealVector b)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealLinearOperator m,
RealVector b,
boolean goodb,
double shift)
Returns an estimate of the solution to the linear system (A - shift
· I) · x = b.
|
RealVector |
PreconditionedIterativeLinearSolver.solve(RealLinearOperator a,
RealLinearOperator m,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealLinearOperator m,
RealVector b,
RealVector x)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
PreconditionedIterativeLinearSolver.solve(RealLinearOperator a,
RealVector b)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
IterativeLinearSolver.solve(RealLinearOperator a,
RealVector b)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealVector b)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealVector b,
boolean goodb,
double shift)
Returns the solution to the system (A - shift · I) · x = b.
|
RealVector |
PreconditionedIterativeLinearSolver.solve(RealLinearOperator a,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
IterativeLinearSolver.solve(RealLinearOperator a,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealVector b,
RealVector x)
Returns an estimate of the solution to the linear system A · x =
b.
|
abstract RealVector |
PreconditionedIterativeLinearSolver.solveInPlace(RealLinearOperator a,
RealLinearOperator m,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
ConjugateGradient.solveInPlace(RealLinearOperator a,
RealLinearOperator m,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solveInPlace(RealLinearOperator a,
RealLinearOperator m,
RealVector b,
RealVector x)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solveInPlace(RealLinearOperator a,
RealLinearOperator m,
RealVector b,
RealVector x,
boolean goodb,
double shift)
Returns an estimate of the solution to the linear system (A - shift
· I) · x = b.
|
RealVector |
PreconditionedIterativeLinearSolver.solveInPlace(RealLinearOperator a,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
abstract RealVector |
IterativeLinearSolver.solveInPlace(RealLinearOperator a,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solveInPlace(RealLinearOperator a,
RealVector b,
RealVector x)
Returns an estimate of the solution to the linear system A · x =
b.
|
Constructor and Description |
---|
Array2DRowFieldMatrix(Field<T> field,
T[][] d)
Create a new
FieldMatrix<T> using the input array as the underlying
data array. |
Array2DRowFieldMatrix(Field<T> field,
T[][] d,
boolean copyArray)
Create a new
FieldMatrix<T> using the input array as the underlying
data array. |
Array2DRowFieldMatrix(T[][] d)
Create a new
FieldMatrix<T> using the input array as the underlying
data array. |
Array2DRowFieldMatrix(T[][] d,
boolean copyArray)
Create a new
FieldMatrix<T> using the input array as the underlying
data array. |
Array2DRowRealMatrix(double[][] d)
Create a new
RealMatrix using the input array as the underlying
data array. |
Array2DRowRealMatrix(double[][] d,
boolean copyArray)
Create a new RealMatrix using the input array as the underlying
data array.
|
ArrayFieldVector(ArrayFieldVector<T> v)
Construct a vector from another vector, using a deep copy.
|
ArrayFieldVector(ArrayFieldVector<T> v,
boolean deep)
Construct a vector from another vector.
|
ArrayFieldVector(Field<T> field,
T[] d)
Construct a vector from an array, copying the input array.
|
ArrayFieldVector(Field<T> field,
T[] d,
boolean copyArray)
Create a new ArrayFieldVector using the input array as the underlying
data array.
|
ArrayFieldVector(Field<T> field,
T[] d,
int pos,
int size)
Construct a vector from part of a array.
|
ArrayFieldVector(Field<T> field,
T[] v1,
T[] v2)
Construct a vector by appending one vector to another vector.
|
ArrayFieldVector(FieldVector<T> v)
Construct a vector from another vector, using a deep copy.
|
ArrayFieldVector(FieldVector<T> v1,
FieldVector<T> v2)
Construct a vector by appending one vector to another vector.
|
ArrayFieldVector(FieldVector<T> v1,
T[] v2)
Construct a vector by appending one vector to another vector.
|
ArrayFieldVector(T[] d)
Construct a vector from an array, copying the input array.
|
ArrayFieldVector(T[] d,
boolean copyArray)
Create a new ArrayFieldVector using the input array as the underlying
data array.
|
ArrayFieldVector(T[] v1,
FieldVector<T> v2)
Construct a vector by appending one vector to another vector.
|
ArrayFieldVector(T[] d,
int pos,
int size)
Construct a vector from part of a array.
|
ArrayFieldVector(T[] v1,
T[] v2)
Construct a vector by appending one vector to another vector.
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ArrayRealVector(ArrayRealVector v)
Construct a vector from another vector, using a deep copy.
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ArrayRealVector(double[] d,
boolean copyArray)
Create a new ArrayRealVector using the input array as the underlying
data array.
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ArrayRealVector(double[] d,
int pos,
int size)
Construct a vector from part of a array.
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ArrayRealVector(Double[] d,
int pos,
int size)
Construct a vector from part of an array.
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ArrayRealVector(RealVector v)
Construct a vector from another vector, using a deep copy.
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ConjugateGradient(IterationManager manager,
double delta,
boolean check)
Creates a new instance of this class, with default
stopping criterion and custom iteration manager.
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DiagonalMatrix(double[] d,
boolean copyArray)
Creates a matrix using the input array as the underlying data.
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IterativeLinearSolver(IterationManager manager)
Creates a new instance of this class, with custom iteration manager.
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PreconditionedIterativeLinearSolver(IterationManager manager)
Creates a new instance of this class, with custom iteration manager.
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SparseFieldVector(Field<T> field,
T[] values)
Create from a Field array.
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Constructor and Description |
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HaltonSequenceGenerator(int dimension,
int[] bases,
int[] weights)
Construct a new Halton sequence generator with the given base numbers and weights for each dimension.
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StableRandomGenerator(RandomGenerator generator,
double alpha,
double beta)
Create a new generator.
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Modifier and Type | Method and Description |
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static void |
MathUtils.checkNotNull(Object o)
Checks that an object is not null.
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static void |
MathUtils.checkNotNull(Object o,
Localizable pattern,
Object... args)
Checks that an object is not null.
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static void |
MathArrays.checkRectangular(long[][] in)
Throws MathIllegalArgumentException if the input array is not rectangular.
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static double[] |
MathArrays.convolve(double[] x,
double[] h)
Calculates the
convolution between two sequences.
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static void |
MathArrays.sortInPlace(double[] x,
double[]... yList)
Sort an array in ascending order in place and perform the same reordering
of entries on other arrays.
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static void |
MathArrays.sortInPlace(double[] x,
MathArrays.OrderDirection dir,
double[]... yList)
Sort an array in place and perform the same reordering of entries on
other arrays.
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Constructor and Description |
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Incrementor(int max,
Incrementor.MaxCountExceededCallback cb)
Creates an Incrementor.
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KthSelector(PivotingStrategy pivotingStrategy)
Constructor with specified pivoting strategy
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ResizableDoubleArray(ResizableDoubleArray original)
Copy constructor.
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