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trust-region-least-squares
v0.9.1 ExperimentalA dense trust-region-reflective nonlinear least-squares solver that reproduces SciPy's least_squares (method='trf') bit-for-bit on its unbounded path for arbitrary dimension n, every loss (linear/soft_l1/huber/cauchy/arctan), and 2-point Jacobians, with an injectable SVD/BLAS seam so a pinned host LAPACK's numerical trajectory can be reproduced exactly. For anyone who needs scipy-identical least-squares results in Rust.
MIT Edition 2021
Quick Verdict
- ✓Actively maintained (updated 13d ago)
- !Pre-1.0: API may have breaking changes
- ✓Permissive license (MIT)
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Downloads
945
Dependents
22
Releases
2
Size
608KB
Deep Insights
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Download activity
946 downloads in the last 30 days (32/day avg).
Health Breakdown
Maintenance 13/25
Recency, release consistency, active ratio
Quality 13/25
Yanked ratio, deps, size, maturity, features
Community 10/20
Reverse deps, ownership, ecosystem
Popularity 4/15
Downloads, momentum, growth trend
Documentation 13/15
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Top Dependents
Most downloaded crates that depend on trust-region-least-squares
Version Adoption
v0.9.1
98%
v0.9.0
2%
Release Timeline
2 releasessince 2026
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Dependencies
5
direct dependencies
Dependents
22
crates depend on trust-region-least-squares