Global Convergence of a Modified Gradient Projection Method for Convex Constrained Problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s10255-006-0299-2.pdf
Reference35 articles.
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3. Brayton, R.K., Cullum, J. An algorithm for minimizing a differentiable function subject to box constraints and errors. J. Optim. Theory Appl., 29(4): 521–558 (1979)
4. Burke, J.V., More, J.J., Toraldo, G. Convergence properties of trust region methods for linear and convex constraints. Math. Programming, 47: 305–336 (1990)
5. Calamai, P.H., More, J.J. Projected gradient methods for linearly constrained problems. Math. Programming, 39: 93–116 (1987)
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