On the evaluation complexity of constrained nonlinear least-squares and general constrained nonlinear optimization using second-order methods
<p style="text-align:justify;"> When solving the general smooth nonlinear and possibly nonconvex optimization problem involving equality and/or inequality constraints, an approximate first-order critical point of accuracy $\epsilon$ can be obtained by a second-order method using cub...
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| Formato: | Journal article |
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Society for Industrial and Applied Mathematics
2015
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