r-trustoptim
Trust region algorithm for nonlinear optimization. Efficient when the Hessian of the objective function is sparse (i.e., relatively few nonzero cross-partial derivatives). See Braun, M. (2014) <doi:10.18637/jss.v060.i04>.
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Summary
Trust region algorithm for nonlinear optimization. Efficient when the Hessian of the objective function is sparse (i.e., relatively few nonzero cross-partial derivatives). See Braun, M. (2014) <doi:10.18637/jss.v060.i04>.
Last Updated
Dec 12, 2019 at 18:05
License
MPL (>= 2.0)
Total Downloads
3
Supported Platforms
linux-64
macOS-64
win-64