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An implementation of recursive quadratic programming variable metric methods for linearly constrained nonlinear minimax approximation
Kybernetika, Tome 21 (1985) no. 1, pp. 22-40

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Classification : 49J35, 49M37, 65K05, 90C20, 90C30 
Lukšan, Ladislav. An implementation of recursive quadratic programming variable metric methods for linearly constrained nonlinear minimax approximation. Kybernetika, Tome 21 (1985) no. 1, pp. 22-40. http://geodesic.mathdoc.fr/item/KYB_1985_21_1_a3/
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     mrnumber = {788667},
     zbl = {0548.90061},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/KYB_1985_21_1_a3/}
}
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[6] L. Lukšan: Software package for optimization and nonlinear approximation. In: Proc. of the 2nd IFAC/IFIP Symposium on Software for Computer Control, Prague 1979.

[7] L. Lukšan: Dual method for solving a special problem of quadratic programming as a sub-problem at linearly constrained nonlinear minimax approximation. Kybernetika 20 (1984), 6, 445-457. | MR

[8] L. Lukšan: A compact variable metric algorithm for linearly constrained nonlinear minimax approximation. Kybernetika 21 (1985), to appear. | MR

[9] M. J. D. Powell: A fast algorithm for nonlinearly constrained optimization calculations. In: Numerical Analysis, Dundee 1977 (G. A. Watson ed.), Lecture Notes in Mathematics 630, Springer-Verlag, Berlin 1978. | MR