The Nonlinear Programming Method of Wilson, Han, and Powell with an Augmented Lagrangian Type Line Search Function. Part 2 : An Efficient Implementation with Linear Least Squares Subproblems.
Numerische Mathematik, Tome 38 (1982), pp. 115-128

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Mots-clés : numerical experiments, line search function, numerical performance, least square formulation, quadratic subproblem, inverse update technique
K. Schittkowski. The Nonlinear Programming Method of Wilson, Han, and Powell with an Augmented Lagrangian Type Line Search Function. Part 2 : An Efficient Implementation with Linear Least Squares Subproblems.. Numerische Mathematik, Tome 38 (1982), pp. 115-128. http://geodesic.mathdoc.fr/item/NUMA_1982__38_132751/
@article{NUMA_1982__38_132751,
     author = {K. Schittkowski},
     title = {The {Nonlinear} {Programming} {Method} of {Wilson,} {Han,} and {Powell} with an {Augmented} {Lagrangian} {Type} {Line} {Search} {Function.} {Part} 2 : {An} {Efficient} {Implementation} with {Linear} {Least} {Squares} {Subproblems.}},
     journal = {Numerische Mathematik},
     pages = {115--128},
     year = {1982},
     volume = {38},
     zbl = {0534.65031},
     url = {http://geodesic.mathdoc.fr/item/NUMA_1982__38_132751/}
}
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