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
Release history Release notifications | RSS feed
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)
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | bf636d9520df1da5f02157bfbe7dfba25a34fa4ca35a98e4898964074d08cacc |
|
MD5 | b416fdb5ddb058d37df444d5fd24da9f |
|
BLAKE2b-256 | ac3e526d8232e7545a9fcb380308a0b6234c0be1178eb77c3bbbc8219cad01ac |