Skip to main content

Various optimization algorithms for teaching and research

Project description

biogeme-optimization

PyPi

Various optimization algorithms used for teaching and research. In particular, they are used by Biogeme.

The package contains the following modules:

algebra

It contains functions dealing with linear algebra:

  • A modified Cholesky factorization introduced by Schnabel and Eskow (1999)
  • The calculation of a descent direction based on this factorization.

bfgs

The functions in this module calculate

  • the BFGS update of the hessian approximation (see Eq. (13.12) in Bierlaire (2015)),
  • the inverse BFGS update of the hessian approximation (see Eq. (13.13) in Bierlaire (2015)).

bounds

This module mainly defines the class Boundsthat manages the bound constraints.

diagnostics

This module defines the diagnostic of some optimization subproblems (dogleg, and comjugate gradient).

exceptions

It defines the OptimizationError exception.

format

It defines the class FormattedColumns that formats the information reported at each iteration of an algorithm.

function

It defines the abstract class FunctionToMinimize that encapsulate the calculation of the objective function and its derivatives.

hybrid_function

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.

linesearch

This module implements the line search algorithms (see Chapter 11 in Bierlaire, 2015).

simple_bounds

This module implements the minimization algorithm under bound constraints proposed by Conn et al. (1988).

trust_region

This module implements the trust region algorithms (see Chapter 12 in Bierlaire, 2015).

References

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

biogeme_optimization-0.0.10.tar.gz (52.8 kB view details)

Uploaded Source

Built Distribution

biogeme_optimization-0.0.10-py3-none-any.whl (48.6 kB view details)

Uploaded Python 3

File details

Details for the file biogeme_optimization-0.0.10.tar.gz.

File metadata

  • Download URL: biogeme_optimization-0.0.10.tar.gz
  • Upload date:
  • Size: 52.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for biogeme_optimization-0.0.10.tar.gz
Algorithm Hash digest
SHA256 a4e964d034208eb762217556112369d9f8f7dfeabe603a2dde360bca50031fca
MD5 c8ff84cc82a1835b1cff488ee16c11ae
BLAKE2b-256 64468ac8117dd885ef509b09a81bb67d3c9de9de5ac187700b24a768a7dffc47

See more details on using hashes here.

File details

Details for the file biogeme_optimization-0.0.10-py3-none-any.whl.

File metadata

File hashes

Hashes for biogeme_optimization-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 e1f3e6bf7659dccdb52f1f6359c1a1b5df6d691dfe52256ce494b8b994bb6858
MD5 8629edfe1ae9e55356033331e47f5dcc
BLAKE2b-256 66e5c91b52d86df4b748ed524b0d8d9bb3350422c23fd6ac231cfb849ac6883e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page