On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds
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Springer US
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http://link.springer.com/content/pdf/10.1007/978-0-585-26778-4_4.pdf
Reference17 articles.
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4. P. H. Calamai and J. J. Moré. Projected gradient methods for linearly constrained problems. Mathematical Programming, 39:93–116, 1987.
5. A. R. Conn, N. I. M. Gould, and Ph. L. Toint. Global convergence of a class of trust region algorithms for optimization with simple bounds. SIAM Journal on Numerical Analysis, 25:433–460, 1988. See also same journal 26:764’767, 1989.
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