Skip to main content

Constrained multivariate least-squares optimizer

Project description

leastsqbound is a enhanced version of scipy’s optimize.leastsq function which allows users to include min, max bounds for each fit parameter. Constraints are enforced by using an unconstrained internal parameter list which is transformed into a constrained parameter list using non-linear functions.

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

leastsqbound-1.0.tar.gz (6.0 kB view details)

Uploaded Source

File details

Details for the file leastsqbound-1.0.tar.gz.

File metadata

  • Download URL: leastsqbound-1.0.tar.gz
  • Upload date:
  • Size: 6.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for leastsqbound-1.0.tar.gz
Algorithm Hash digest
SHA256 bf636d9520df1da5f02157bfbe7dfba25a34fa4ca35a98e4898964074d08cacc
MD5 b416fdb5ddb058d37df444d5fd24da9f
BLAKE2b-256 ac3e526d8232e7545a9fcb380308a0b6234c0be1178eb77c3bbbc8219cad01ac

See more details on using hashes here.

Provenance

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