## New methods in optimization and their industrial uses: state of the art, recent advances, perspectives : proceedings of the symposia held in Pau, October 19-29, 1987 and Paris, November 19, 1987 |

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algorithm for solving Aliénor applications BFGS BFGS formula Bonnans bounded polyhedron calcul CESTAC method cluster concave concave function convergence convex function convex programming convex set cutting plane d'optimisation defined denote equation evaluations finite number FORTRAN function value G is essential Germany F.R. global minimum global optimization go to Step gradient Hessian heuristic Hoang Tuy implementation inverse Karmarkar's algorithm l'algorithme de KARMARKAR LAGRANGE Lagrange multiplier line search linear constraints linear programming logiciel Math Mathematical Programming matrice méthode minimization mixture Newton's method nombre nonconvex optimization problems nonlinear programming Numerical Mathematics objective function obtained optimal solution optimisation optimization methods outer approximation paramètres penalty function peut polyhedron programme linéaire proximal algorithm quadratic problem sample sequence simplex simulated annealing SQP-SOC step SRI formula stochastic techniques Theorem trust region trust region algorithm updated variables vector vertex zonotope