Package optimizers

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Optimization module

Submodules

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PyDSTool.Toolbox.optimizers.criterion: Module containing every criteria for converge test
- PyDSTool.Toolbox.optimizers.criterion.composite_criteria: Composite criteria allow to use several criteria together, with and/or composition
- PyDSTool.Toolbox.optimizers.criterion.criteria: A list of standard convergence criteria based on the number of iterations, the last values taken by the cost function and the associated points
- PyDSTool.Toolbox.optimizers.criterion.facilities: Proposes a way to create a composite criterion
- PyDSTool.Toolbox.optimizers.criterion.information_criteria
PyDSTool.Toolbox.optimizers.defaults: Defines the defaults parameters for the generic optimizer framework
PyDSTool.Toolbox.optimizers.helpers: Helper functions
PyDSTool.Toolbox.optimizers.line_search: Module containing the line searchers
- PyDSTool.Toolbox.optimizers.line_search.adaptive_last_step_modifier: Line search decorator that overrides the default alpha_step value with a factor times the last alpha_step, the factor being a function of the current direction and the last direction
- PyDSTool.Toolbox.optimizers.line_search.backtracking_search
- PyDSTool.Toolbox.optimizers.line_search.barzilai_borwein_non_monotone_search
- PyDSTool.Toolbox.optimizers.line_search.barzilai_borwein_search
- PyDSTool.Toolbox.optimizers.line_search.cubic_interpolation: Line Search with the cubic interpolation method with the computation of the gradient of the function
- PyDSTool.Toolbox.optimizers.line_search.damped_line_search: A damped line search
- PyDSTool.Toolbox.optimizers.line_search.fibonacci_section: Line Search with the Fibonacci section method
- PyDSTool.Toolbox.optimizers.line_search.fixed_last_step_modifier: Line search decorator that overrides the default alpha_step value with a factor times the last alpha_step
- PyDSTool.Toolbox.optimizers.line_search.golden_section: Line Search with the golden section method
- PyDSTool.Toolbox.optimizers.line_search.goldstein_rule
- PyDSTool.Toolbox.optimizers.line_search.hyperbolic_line_search: An hyperbolic line search, in fact no searches at all
- PyDSTool.Toolbox.optimizers.line_search.quadratic_interpolation: Line Search with the quadratic interpolation method with the computation of the gradient of the function
- PyDSTool.Toolbox.optimizers.line_search.scaled_line_search
- PyDSTool.Toolbox.optimizers.line_search.simple_line_search: A simple line search, in fact no searches at all
- PyDSTool.Toolbox.optimizers.line_search.strong_wolfe_powell_rule
- PyDSTool.Toolbox.optimizers.line_search.wolfe_powell_rule
PyDSTool.Toolbox.optimizers.optimizer: Module containing the core optimizers
- PyDSTool.Toolbox.optimizers.optimizer.optimizer: The core optimizer from which every other optimizer is derived
- PyDSTool.Toolbox.optimizers.optimizer.standard_optimizer: A standard optimizer
- PyDSTool.Toolbox.optimizers.optimizer.standard_optimizer_modifying: A standard optimizer with a special object that modifies the resulting set of parameters
PyDSTool.Toolbox.optimizers.step: Module containing every step use to lower a cost function
- PyDSTool.Toolbox.optimizers.step.conjugate_gradient_step: Computes the conjugate gradient steps for a specific function at a specific point
- PyDSTool.Toolbox.optimizers.step.goldfeld_step: Computes Goldfeld step for a specific function at a specific point
- PyDSTool.Toolbox.optimizers.step.goldstein_price_step: Computes Goldstein-Price step for a specific function at a specific point
- PyDSTool.Toolbox.optimizers.step.gradient_step: Computes a gradient step for a specific function at a specific point
- PyDSTool.Toolbox.optimizers.step.local_brute_force_1dstep
- PyDSTool.Toolbox.optimizers.step.marquardt_step: Computes a Marquardt step for a specific function at a specific point
- PyDSTool.Toolbox.optimizers.step.newton_step: Computes a Newton step for a specific function at a specific point
- PyDSTool.Toolbox.optimizers.step.partial_step: Computes a partial step for a specific function at a specific point, acting like a decorator for other steps
- PyDSTool.Toolbox.optimizers.step.quasi_newton_step: Computes a quasi-Newton step for a specific function at a specific point
- PyDSTool.Toolbox.optimizers.step.restart_conjugate_gradient: Restarts a conjugate gradient search by deleting the step key in the state dictionary
PyDSTool.Toolbox.optimizers.tests
- PyDSTool.Toolbox.optimizers.tests.test_powell: Class defining the Powell function
- PyDSTool.Toolbox.optimizers.tests.test_quadratic: Class defining a quadratic function
- PyDSTool.Toolbox.optimizers.tests.test_rosenbrock: Class defining the Rosenbrock function

Functions

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mod_path()

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test(level=-5, verbosity=1)

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testall(level=-5, verbosity=1)

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