pymloc.model.optimization.nonlinear_leastsquares¶
Classes
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Implementation of a nonlinear least squares problem of the form |
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class
pymloc.model.optimization.nonlinear_leastsquares.AutomaticLocalNonLinearLeastSquares(global_optimization, hl_value=None, ll_value=None)¶ Bases:
pymloc.model.optimization.optimization.AutomaticLocalOptimizationObject,pymloc.model.optimization.nonlinear_leastsquares.LocalNonLinearLeastSquares
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class
pymloc.model.optimization.nonlinear_leastsquares.LocalNonLinearLeastSquares¶
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class
pymloc.model.optimization.nonlinear_leastsquares.NonLinearLeastSquares(objective_obj, ll_vars, hl_vars, loc_vars)¶ Bases:
pymloc.model.optimization.optimization.OptimizationObjectImplementation of a nonlinear least squares problem of the form
\[\]{sum_{k=1}^q{|f(t_k, theta)-xi_k|^2}}
for given data points \((t_k, \xi_k)\) and the unknown \(\theta \in \R^p\).