Geodesic
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 
@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},
     publisher = {mathdoc},
     volume = {38},
     year = {1982},
     zbl = {0534.65031},
     url = {http://geodesic.mathdoc.fr/item/NUMA_1982__38_132751/}
}
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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/