ISSN:
0945-3245
Keywords:
AMS (MOS): 65K05
;
CR: 5.15
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Summary Generalized conjugate gradient algorithms which are invariant to a nonlinear scaling of a strictly convex quadratic function are described. The algorithms when applied to scaled quadratic functionsf∶R n →R 1 of the formf(x)=h(F(x)) withF(x) strictly convex quadratic andh∈C 1(R 1) an arbitrary strictly monotone functionh generate the same direction vectors as for the functionF without perfect steps.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01400920
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