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biogeme-optimization
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Various optimization algorithms used for teaching and research. In particular, they are used by Biogeme.
The package contains the following modules:
It contains functions dealing with linear algebra:
The functions in this module calculate
This module mainly defines the class Bounds
that manages the bound constraints.
This module defines the diagnostic of some optimization subproblems (dogleg, and comjugate gradient).
It defines the OptimizationError
exception.
It defines the class FormattedColumns
that formats the information
reported at each iteration of an algorithm.
It defines the abstract class FunctionToMinimize
that encapsulate
the calculation of the objective function and its derivatives.
It defines the class HybridFunction
that calculates the objective
function and its derivatives, where the second derivative can be
either the analytical hessian, or a BFGS approximation.
This module implements the line search algorithms (see Chapter 11 in Bierlaire, 2015).
This module implements the minimization algorithm under bound constraints proposed by Conn et al. (1988).
This module implements the trust region algorithms (see Chapter 12 in Bierlaire, 2015).
FAQs
Various optimization algorithms for teaching and research
We found that biogeme-optimization demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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