Published May 16, 2024
| Version v0.9.7
Software
Open
Enlsip.jl: A Julia optimization package to solve constrained nonlinear least-squares problems
- 1. Department of Computer Science and Operations Research, University of Montreal, Montreal, QC, Canada
- 2. Unit of Inflow and Load Forecasting, Hydro-Québec, Montreal, QC, Canada
- 3. Department of Computer Science, UQÀM, Montreal, QC, Canada
Description
Enlsip.jl v0.9.7
- JOSS paper release
Diff since v0.9.0
- Tolerances used for stopping criteria can be user-defined
- Automatic differenciation used by default if analytical Jacobians not provided
- Compatibility with any precision floats (subtypes of `AbstractFloat`)
- Printing execution details can be done after solving
- Description of the method and the termination criteria in the documentation
- Additional example in the documentation
Files
UncertainLab/Enlsip.jl-v0.9.7.zip
Files
(58.9 kB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/UncertainLab/Enlsip.jl/tree/v0.9.7 (URL)