Uses of Class
org.hipparchus.optim.nonlinear.vector.leastsquares.SequentialGaussNewtonOptimizer

Packages that use SequentialGaussNewtonOptimizer

Package	Description
org.hipparchus.optim.nonlinear.vector.leastsquares	This package provides algorithms that minimize the residuals between observations and model values.

Uses of SequentialGaussNewtonOptimizer in org.hipparchus.optim.nonlinear.vector.leastsquares

Methods in org.hipparchus.optim.nonlinear.vector.leastsquares that return SequentialGaussNewtonOptimizer

Modifier and Type	Method and Description
SequentialGaussNewtonOptimizer	SequentialGaussNewtonOptimizer.withAPrioriData(RealVector aPrioriState, RealMatrix aPrioriCovariance) Configure from a priori state and covariance.
SequentialGaussNewtonOptimizer	SequentialGaussNewtonOptimizer.withAPrioriData(RealVector aPrioriState, RealMatrix aPrioriCovariance, double relativeSymmetryThreshold, double absolutePositivityThreshold) Configure from a priori state and covariance.
SequentialGaussNewtonOptimizer	SequentialGaussNewtonOptimizer.withDecomposer(MatrixDecomposer newDecomposer) Configure the matrix decomposition algorithm.
SequentialGaussNewtonOptimizer	SequentialGaussNewtonOptimizer.withEvaluation(LeastSquaresProblem.Evaluation previousEvaluation) Configure the previous evaluation used by the optimizer.
SequentialGaussNewtonOptimizer	SequentialGaussNewtonOptimizer.withFormNormalEquations(boolean newFormNormalEquations) Configure if the normal equations should be explicitly formed.