the function value (optimization criterion) the gradient vector (first-order partial derivatives) for some techniques, the (approximate) Hessian matrix (second-order partial derivatives) values of ...

NLPQN with nonlinear constraints: specifies version of update 7 NLPDD, NLPHQN, NLPQN: specifies initial Hessian matrix (INHESSIAN) 8 Finite Difference Derivatives: specifies type of differences and ...

Successive Linear Programming (SLP), which is also known as the Method of Approximation Programming, solves nonlinear optimization problems via a sequence of linear programs. This paper reports on ...