In linear programming, the objective function is the function that it is desired to maximize or minimize. The human interaction equivalent is what matters most. Agreement on that, and on the steps to ...

There’s an old adage in business: “Don’t tell me your priorities; show me your budget, and I’ll tell you what your priorities are.” In today’s data-driven environment, in which efficient resource ...

This paper presents three algorithms for solving linear programming problems in which some or all of the objective function coefficients are specified in terms of intervals. Which algorithm is ...

This is a preview. Log in through your library . Abstract The basic properties are stated of a linear programming problem with a linear objective function having quadratic constraints whose associated ...

The JACOBIAN statement defines the JACOBIAN matrix J for a system of objective functions. For more information, see the section "Derivatives". proc nlp tech=levmar; array j[2,2] j1-j4; lsq f1 f2; ...

There are a number of measures that could be used as convergence or stopping criteria. PROC MODEL computes five convergence measures labeled R, S, PPC, RPC, and OBJECT. The R convergence measure ...