Approximate Hessian Matrices and Second-order Optimality Conditions for Nonlinear Programming Problems with C 1 -data 1
نویسنده
چکیده
In this paper, we present generalizations of the Jacobian matrix and the Hessian matrix to continuous maps and continuously diierentiable functions respectively. We then establish second-order optimality conditions for mathematical programming problems with continuously dif-ferentiable functions. The results also sharpen the corresponding results for problems involving C 1;1-functions.
منابع مشابه
On Sequential Optimality Conditions without Constraint Qualifications for Nonlinear Programming with Nonsmooth Convex Objective Functions
Sequential optimality conditions provide adequate theoretical tools to justify stopping criteria for nonlinear programming solvers. Here, nonsmooth approximate gradient projection and complementary approximate Karush-Kuhn-Tucker conditions are presented. These sequential optimality conditions are satisfied by local minimizers of optimization problems independently of the fulfillment of constrai...
متن کاملOptimality conditions for approximate solutions of vector optimization problems with variable ordering structures
We consider nonconvex vector optimization problems with variable ordering structures in Banach spaces. Under certain boundedness and continuity properties we present necessary conditions for approximate solutions of these problems. Using a generic approach to subdifferentials we derive necessary conditions for approximate minimizers and approximately minimal solutions of vector optimizatio...
متن کاملSufficient Second Order Optimality Conditions for C Multiobjective Optimization Problems
In this work, we use the notion of Approximate Hessian introduced by Jeyakumar and Luc [19], and a special scalarization to establish sufficient optimality conditions for constrained multiobjective optimization problems. Throughout this paper, the data are assumed to be of class C, but not necessarily of class C.
متن کاملSufficient global optimality conditions for general mixed integer nonlinear programming problems
In this paper, some KKT type sufficient global optimality conditions for general mixed integer nonlinear programming problems with equality and inequality constraints (MINPP) are established. We achieve this by employing a Lagrange function for MINPP. In addition, verifiable sufficient global optimality conditions for general mixed integer quadratic programming problems are der...
متن کاملSequential Optimality Conditions and Variational Inequalities
In recent years, sequential optimality conditions are frequently used for convergence of iterative methods to solve nonlinear constrained optimization problems. The sequential optimality conditions do not require any of the constraint qualications. In this paper, We present the necessary sequential complementary approximate Karush Kuhn Tucker (CAKKT) condition for a point to be a solution of a ...
متن کامل