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Items where Author is "Conn, Andrew R."

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Number of items: 6.

A

Amaioua, N., Audet, C., Conn, A. R., & Le Digabel, S. (2018). Efficient solution of quadratically constrained quadratic subproblems within the mesh adaptive direct search algorithm. European Journal of Operational Research, 268(1), 13-24. External link

Audet, C., Conn, A. R., Le Digabel, S., & Peyrega, M. (2018). A progressive barrier derivative-free trust-region algorithm for constrained optimization. Computational Optimization and Applications, 71(2), 307-329. External link

Amaioua, N., Le Digabel, S., Audet, C., & Conn, A. R. (2016, June). Efficient solution of quadratically constrained quadratic subproblems within a direct-search algorithm [Poster]. Workshop on Nonlinear Optimization Algorithms and Industrial Applications, Toronto, Ontario. Unavailable

B

Bonami, P., Biegler, L. T., Conn, A. R., Cornuejols, G., Grossmann, I. E., Laird, C. D., Lee, J., Lodi, A., Margot, F., Sawaya, N., & Wachter, A. (2008). An algorithmic framework for convex mixed integer nonlinear programs. Discrete Optimization, 5(2), 186-204. External link

C

Conn, A. R., & Le Digabel, S. (2013). Use of quadratic models with mesh-adaptive direct search for constrained black box optimization. Optimization Methods and Software, 28(1), 139-158. External link

Conn, A. R., Gould, N. I. M., Orban, D., & Toint, P. L. (2000). A primal-dual trust-region algorithm for non-convex nonlinear programming. Mathematical Programming, 87(2), 215-249. External link

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