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Cited article:
Auslender
R.I.R.O., 3 R2 (1969) 27-42
Published online: 2017-02-01
This article has been cited by the following article(s):
On the effectiveness of projection methods for convex feasibility problems with linear inequality constraints
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Local Linear Convergence for Alternating and Averaged Nonconvex Projections
A. S. Lewis, D. R. Luke and J. Malick
Foundations of Computational Mathematics 9 (4) 485 (2009)
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Extrapolation algorithm for affine-convex feasibility problems
Heinz H. Bauschke, Patrick L. Combettes and Serge G. Kruk
Numerical Algorithms 41 (3) 239 (2006)
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The asymptotic behavior of the composition of two resolvents
Heinz H. Bauschke, Patrick L. Combettes and Simeon Reich
Nonlinear Analysis: Theory, Methods & Applications 60 (2) 283 (2005)
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Partial inverse of a monotone operator
Jonathan E. Spingarn
Applied Mathematics & Optimization 10 (1) 247 (1983)
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Global convergence for Newton methods in mathematical programming
J. W. Daniel
Journal of Optimization Theory and Applications 12 (3) 233 (1973)
DOI: 10.1007/BF00935105
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Problems and methods with multiple objective functions
B. Roy
Mathematical Programming 1 (1) 239 (1971)
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Tour d'horizon : programmation non linéaire
P. Huard
Revue française d'informatique et de recherche opérationnelle. Série rouge 5 (R1) 3 (1971)
DOI: 10.1051/m2an/197105R100031
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Penalty function versus non-penalty function methods for constrained nonlinear programming problems
Garth P. McCormick
Mathematical Programming 1 (1) 217 (1971)
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Symposium on Optimization
A. Auslender
Lecture Notes in Mathematics, Symposium on Optimization 132 37 (1970)
DOI: 10.1007/BFb0066671
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