Package | Description |
---|---|
net.finmath.fouriermethod.calibration |
Classes related to the calibration of Fourier models.
|
net.finmath.functions |
Provides some static functions, e.g., analytic valuation formulas or functions from linear algebra.
|
net.finmath.marketdata.calibration |
Provides classes to create a calibrated model of curves from a collection of calibration
products and corresponding target values.
|
net.finmath.marketdata.model.volatilities |
Provides interface specification and implementation of volatility surfaces, e.g.,
interest rate volatility surfaces like (implied) caplet volatilities and swaption
volatilities.
|
net.finmath.marketdata2.calibration |
Provides classes to create a calibrated model of curves from a collection of calibration
products and corresponding target values.
|
net.finmath.optimizer |
This package provides classes with numerical algorithm for optimization of
an objective function and a factory to easy construction of the optimizers.
|
net.finmath.singleswaprate.calibration |
Classes providing calibration to market data of volatility cubes.
|
net.finmath.singleswaprate.model.volatilities |
Provides interface specification and implementation of volatility cubes, as well as a factory to create these, either via calibration from market data or construction
from parameters.
|
Class and Description |
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OptimizerFactory |
SolverException
Exception thrown by solvers
net.finmath.rootfinder or net.finmath.optimizer . |
Class and Description |
---|
SolverException
Exception thrown by solvers
net.finmath.rootfinder or net.finmath.optimizer . |
Class and Description |
---|
OptimizerFactory |
SolverException
Exception thrown by solvers
net.finmath.rootfinder or net.finmath.optimizer . |
Class and Description |
---|
OptimizerFactory |
SolverException
Exception thrown by solvers
net.finmath.rootfinder or net.finmath.optimizer . |
Class and Description |
---|
StochasticOptimizerFactory |
Class and Description |
---|
GoldenSectionSearch
This class implements a Golden Section search algorithm, i.e., a minimization,
implemented as a question-and-answer search algorithm.
|
LevenbergMarquardt
This class implements a parallel Levenberg-Marquardt non-linear least-squares fit
algorithm.
|
LevenbergMarquardt.RegularizationMethod
The regularization method used to invert the approximation of the
Hessian matrix.
|
Optimizer
Interface for numerical optimizers.
|
Optimizer.ObjectiveFunction
Interface for the objective function.
|
OptimizerFactory |
SolverException
Exception thrown by solvers
net.finmath.rootfinder or net.finmath.optimizer . |
StochasticLevenbergMarquardt
This class implements a stochastic Levenberg Marquardt non-linear least-squares fit
algorithm.
|
StochasticLevenbergMarquardt.RegularizationMethod
The regularization method used to invert the approximation of the
Hessian matrix.
|
StochasticOptimizer |
StochasticOptimizer.ObjectiveFunction
The interface describing the objective function of a
StochasticOptimizer . |
StochasticOptimizerFactory |
StochasticPathwiseLevenbergMarquardt
This class implements a stochastic Levenberg Marquardt non-linear least-squares fit
algorithm.
|
Class and Description |
---|
SolverException
Exception thrown by solvers
net.finmath.rootfinder or net.finmath.optimizer . |
Class and Description |
---|
SolverException
Exception thrown by solvers
net.finmath.rootfinder or net.finmath.optimizer . |
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