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* [[Trust region]]
* [[Nelder–Mead method]]
* Variants of the Levenberg–Marquardt algorithm have also been used for solving nonlinear systems of equations.<ref>{{cite journal |doi=10.1016/j.cam.2004.02.013|title=Levenberg–Marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints|journal=Journal of Computational and Applied Mathematics|volume=172|issue=2|pages=375–397|year=2004|last1=Kanzow|first1=Christian|last2=Yamashita|first2=Nobuo|last3=Fukushima|first3=Masao|bibcode=2004JCoAM.172..375K|doi-access=free}}</ref>
==References==
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|hdl=10338.dmlcz/104299 | hdl-access= free
}}</ref>
<ref name="Transtrum2011">{{cite journal|title=Geometry of nonlinear least squares with applications to sloppy models and optimization|year=2011|journal=Physical Review E|volume=83|pages=036701|issue=3|publisher=APS|last1=Transtrum|first1=Mark K|last2=Machta|first2=Benjamin B|last3=Sethna|first3=James P|doi=10.1103/PhysRevE.83.036701|pmid=21517619|arxiv=1010.1449|bibcode=2011PhRvE..83c6701T|s2cid=15361707}}</ref>
<ref name="Transtrum2012">{{cite arXiv|title=Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization|year=2012|eprint=1201.5885|last1=Transtrum|first1=Mark K|last2=Sethna|first2=James P|class=physics.data-an}}</ref>
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