
Must Newton-type methods for linearly constrained optimization be either of the modified Newton or quasi-Newton variety? The contention of this paper is that explicity recomputing part of the projected Hessian may be superior to both approaches. A computational comparison with MINOS is presented.
second derivative matrix, new updating procedure, Numerical mathematical programming methods, Numerical methods based on nonlinear programming, Nonlinear programming, linearly constrained nonlinear programming, Newton-type methods, modified Newton method
second derivative matrix, new updating procedure, Numerical mathematical programming methods, Numerical methods based on nonlinear programming, Nonlinear programming, linearly constrained nonlinear programming, Newton-type methods, modified Newton method
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