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1. A note on solution of nonlinear programming problems with imprecise function and gradient values

2. Local structure of feasible sets in nonlinear programming, Part III: Stability and sensitivity

3. Using deep cuts in an ellipsoid algorithm for nonlinear programming

4. Local structure of feasible sets in nonlinear programming, part II: Nondegeneracy

5. Solution point differentiability without strict complementarity in nonlinear programming

6. Directional derivative of the marginal function in nonlinear programming

7. Some examples and counterexamples for the stability analysis of nonlinear programming problems

8. On regularity conditions in mathematical programming

9. A theoretical model for the determination of the optimal design of a power transportation and distribution system with several voltage levels

10. Optimization of a complex chemical process using an equation oriented model

11. Differential properties of the marginal function in mathematical programming

12. Sufficient conditions for a globally exact penalty function without convexity

13. Generalized equations and their solutions, part II: Applications to nonlinear programming

14. Lagrange multipliers and subderivatives of optimal value functions in nonlinear programming

15. Conjugate gradient methods for linearly constrained nonlinear programming

16. A projected Lagrangian algorithm and its implementation for sparse nonlinear constraints

17. A scaled reduced gradient algorithm for network flow problems with convex separable costs

18. Lagrangean functions and affine minorants

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