
doi: 10.1007/bf01588225
This paper presents several new algorithms, generalizing feasible directions algorithms, for the nonlinear programming problem, min{f 0 (z) ∣f j (z) ≤ 0,j = 1, 2, ⋯ ,m}. These new algorithms do not require an initial feasible point. They automatically combine the operations of initialization (phase I) and optimization (phase II).
Nonlinear Programming, Feasible Direction Algorithm, Numerical mathematical programming methods, Nonlinear programming, Exact Penalty Functions, Constrained Optimization
Nonlinear Programming, Feasible Direction Algorithm, Numerical mathematical programming methods, Nonlinear programming, Exact Penalty Functions, Constrained Optimization
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