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JMSLTM Numerical Library 4.0 | ||||||||
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Interface Summary | |
BoundedLeastSquares.Function | Public interface for the user-supplied function to evaluate the function that defines the least-squares problem. |
BoundedLeastSquares.Jacobian | Public interface for the user-supplied function to compute the Jacobian. |
HyperRectangleQuadrature.Function | Public interface function for the HyperRectangleQuadrature class. |
MinConGenLin.Function | Public interface for the user-supplied function to evaluate the function to be minimized. |
MinConGenLin.Gradient | Public interface for the user-supplied function to compute the gradient. |
MinConNLP.Function | Public interface for the user supplied function to the
MinConNLP object. |
MinConNLP.Gradient | Public interface for the user supplied function to compute the gradient for MinConNLP object. |
MinConNonlin.Function | Public interface for the user supplied function to the
MinConNonlin object. |
MinConNonlin.Gradient | Public interface for the user supplied function to MinConNonlin object. |
MinUncon.Derivative | Public interface for the user supplied function to the
MinUncon object. |
MinUncon.Function | Public interface for the user supplied function to the
MinUncon object. |
MinUnconMultiVar.Function | Public interface for the user supplied function to the
MinUnconMultiVar object. |
MinUnconMultiVar.Gradient | Public interface for the user supplied gradient to the
MinUnconMultiVar object. |
NonlinLeastSquares.Function | Public interface for the user supplied function to the
NonlinLeastSquares object. |
NonlinLeastSquares.Jacobian | Public interface for the user supplied function to the
NonlinLeastSquares object. |
OdeRungeKutta.Function | Public interface for user supplied function to OdeRungeKutta object. |
Quadrature.Function | Public interface function for the Quadrature class. |
RadialBasis.Function | Public interface for the user supplied function to the
RadialBasis object. |
ZeroFunction.Function | Public interface for the user supplied function to ZeroFunction. |
ZeroSystem.Function | Public interface for user supplied function to ZeroSystem object. |
ZeroSystem.Jacobian | Public interface for user supplied function to ZeroSystem object. |
Class Summary | |
Bessel | Collection of Bessel functions. |
BoundedLeastSquares | Solves a nonlinear least-squares problem subject to bounds on the variables using a modified Levenberg-Marquardt algorithm. |
BsInterpolate | Extension of the BSpline class to interpolate data points. |
BsLeastSquares | Extension of the BSpline class to compute a least squares spline approximation to data points. |
BSpline | BSpline represents and evaluates univariate B-splines. |
Cholesky | Cholesky factorization of a matrix of type double . |
Complex | Set of mathematical functions for complex numbers. |
ComplexFFT | Complex FFT. |
ComplexLU | LU factorization of a matrix of type Complex . |
ComplexMatrix | Complex matrix manipulation functions. |
CsAkima | Extension of the Spline class to handle the Akima cubic spline. |
CsInterpolate | Extension of the Spline class to interpolate data points. |
CsPeriodic | Extension of the Spline class to interpolate data points with periodic boundary conditions. |
CsShape | Extension of the Spline class to interpolate data points consistent with the concavity of the data. |
CsSmooth | Extension of the Spline class to construct a smooth cubic spline from noisy data points. |
CsSmoothC2 | Extension of the Spline class used to construct a spline for noisy data points using an alternate method. |
DenseLP | Solves a linear programming problem using an active set strategy. |
Eigen | Collection of Eigen System functions. |
EpsilonAlgorithm | The class is used to determine the limit of a sequence of approximations, by means of the Epsilon algorithm of P. |
FFT | FFT functions. |
Hyperbolic | Pure Java implementation of the hyperbolic functions and their inverses. |
HyperRectangleQuadrature | HyperRectangleQuadrature integrates a function over a hypercube. |
IEEE | Pure Java implementation of the IEEE 754 functions as specified in IEEE Standard for Binary Floating-Point Arithmetic, ANSI/IEEE Standard 754-1985 (IEEE, New York). |
JMath | Pure Java implementation of the standard java.lang.Math class. |
LinearProgramming | Linear programming problem using the revised simplex algorithm. |
LU | LU factorization of a matrix of type double . |
Matrix | Matrix manipulation functions. |
MinConGenLin | Minimizes a general objective function subject to linear equality/inequality constraints. |
MinConNLP | General nonlinear programming solver. |
MinConNLP.Formatter | Simple formatter for MinConNLP logging |
MinUncon | Unconstrained minimization. |
MinUnconMultiVar | Unconstrained multivariate minimization. |
NonlinLeastSquares | Nonlinear least squares. |
OdeRungeKutta | Solves an initial-value problem for ordinary differential equations using the Runge-Kutta-Verner fifth-order and sixth-order method. |
Physical | Return the value of various mathematical and physical constants. |
PrintMatrix | Matrix printing utilities. |
PrintMatrixFormat | This class can be used to customize the actions of PrintMatrix. |
QR | QR Decomposition of a matrix. |
QuadraticProgramming | Solves the convex quadratic programming problem subject to equality or inequality constraints. |
Quadrature | Quadrature is a general-purpose integrator that uses a globally
adaptive scheme in order to reduce the absolute error. |
RadialBasis | RadialBasis computes a least-squares fit to scattered data in , where d is the dimension. |
RadialBasis.Gaussian | The Gaussian basis function, . |
RadialBasis.HardyMultiquadric | The Hardy multiquadric basis function, . |
Sfun | Collection of special functions. |
Spline | Spline represents and evaluates univariate piecewise polynomial splines. |
SVD | Singular Value Decomposition (SVD) of a
rectangular matrix of type double . |
SymEigen | Computes the eigenvalues and eigenvectors of a real symmetric matrix. |
ZeroFunction | Muller's method to find the zeros of a univariate function, f(x). |
ZeroPolynomial | The ZeroPolynomial class computes the zeros of a polynomial with complex coefficients, Aberth's method. |
ZeroSystem | Solves a system of n nonlinear equations f(x) = 0 using a modified Powell hybrid algorithm. |
Exception Summary | |
BoundedLeastSquares.FalseConvergenceException | False convergence - The iterates appear to be converging to a noncritical point. |
Cholesky.NotSPDException | The matrix is not symmetric, positive definite. |
CsShape.TooManyIterationsException | Too many iterations. |
DenseLP.BoundsInconsistentException | The bounds given are inconsistent. |
DenseLP.NoAcceptablePivotException | No acceptable pivot could be found. |
DenseLP.ProblemUnboundedException | The problem is unbounded. |
Eigen.DidNotConvergeException | The iteration did not converge |
LinearProgramming.BoundsInconsistentException | The bounds given are inconsistent. |
LinearProgramming.NumericDifficultyException | Numerical difficulty occurred. |
LinearProgramming.ProblemInfeasibleException | The problem is not feasible. |
LinearProgramming.ProblemUnboundedException | The problem is unbounded. |
MinConGenLin.ConstraintsInconsistentException | The equality constraints are inconsistent. |
MinConGenLin.ConstraintsNotSatisfiedException | No vector x satisfies all of the constraints. |
MinConGenLin.EqualityConstraintsException | the variables are determined by the equality constraints. |
MinConGenLin.VarBoundsInconsistentException | The equality constraints and the bounds on the variables are found to be inconsistent. |
MinConNLP.BadInitialGuessException | Penalty function point infeasible for original problem. |
MinConNLP.ConstraintEvaluationException | Constraint evaluation returns an error with current point. |
MinConNLP.IllConditionedException | Problem is singular or ill-conditioned. |
MinConNLP.LimitingAccuracyException | Limiting accuracy reached for a singular problem. |
MinConNLP.LinearlyDependentGradientsException | Working set gradients are linearly dependent. |
MinConNLP.NoAcceptableStepsizeException | No acceptable stepsize in [SIGMA,SIGLA]. |
MinConNLP.ObjectiveEvaluationException | Objective evaluation returns an error with current point. |
MinConNLP.PenaltyFunctionPointInfeasibleException | Penalty function point infeasible. |
MinConNLP.QPInfeasibleException | QP problem seemingly infeasible. |
MinConNLP.SingularException | Problem is singular. |
MinConNLP.TerminationCriteriaNotSatisfiedException | Termination criteria are not satisfied. |
MinConNLP.TooManyIterationsException | Maximum number of iterations exceeded. |
MinConNLP.TooMuchTimeException | Maximum time allowed for solve exceeded. |
MinConNLP.WorkingSetSingularException | Working set is singular in dual extended QP. |
MinConNonlin.LineSearchException | The line search used more than 5 function calls, therefore it has been declared unsuccessful. |
MinConNonlin.QPConstraintsException | The constraints for the QP subproblem are inconsistent. |
MinConNonlin.TooManyIterationsException | Maximum number of iterations exceeded. |
MinConNonlin.UphillSearchCalcException | The algorithm calculated an uphill search direction. |
MinConNonlin.ZeroSearchDirectionException | The search direction is close to zero. |
MinUnconMultiVar.ApproximateMinimumException | Scaled step tolerance satisfied; the current point may be an approximate local solution, or the algorithm is making very slow progress and is not near a solution, or the scaled step tolerance is too big. |
MinUnconMultiVar.FalseConvergenceException | False convergence error; the iterates appear to be converging to a noncritical point. |
MinUnconMultiVar.MaxIterationsException | Maximum number of iterations exceeded. |
MinUnconMultiVar.UnboundedBelowException | Five consecutive steps of the maximum allowable stepsize have been taken, either the function is unbounded below, or has a finite asymptote in some direction or the maximum allowable step size is too small. |
NonlinLeastSquares.FalseConvergenceException | The iterates appear to be converging to a non-critical point. |
NonlinLeastSquares.RelativeFunctionConvergenceException | The scaled and predicted reductions in the function are less than or equal to the relative function convergence tolerance. |
NonlinLeastSquares.StepMaxException | Either the function is unbounded below, has a finite asymptote in some direction, or the maximum stepsize is too small. |
NonlinLeastSquares.StepToleranceException | Various possible errors involving the step tolerance. |
NonlinLeastSquares.TooManyIterationsException | Too many iterations. |
OdeRungeKutta.DidNotConvergeException | The iteration did not converge. |
OdeRungeKutta.ToleranceTooSmallException | Tolerance is too small. |
QuadraticProgramming.InconsistentSystemException | Inconsistent system. |
SingularMatrixException | The matrix is singular. |
SVD.DidNotConvergeException | The iteration did not converge |
ZeroPolynomial.DidNotConvergeException | The iteration did not converge |
ZeroSystem.DidNotConvergeException | The iteration did not converge. |
ZeroSystem.ToleranceTooSmallException | Tolerance too small |
ZeroSystem.TooManyIterationsException | Too many iterations. |
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JMSLTM Numerical Library 4.0 | ||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |