Da-Ke He, Ashish Jagmohan, et al.
ISIT 2007
We consider the problem of minimizing a differentiable function of n parameters, with upper and lower bounds on the parameters. The motivation for this work comes from the optimization of the design of transient electrical circuits. In such optimization, the parameters are circuit elements, the bound constraints keep these parameters physically meaningful, and both the function and gradient evaluations contain errors. We describe a quasi-Newton algorithm for such problems. This algorithm handles the box constraints directly and approximates the given function locally by nonsingular quadratic functions. Numerical tests indicate that the algorithm can tolerate the errors, if the errors in the function and gradient are of the same relative size. © 1979 Plenum Publishing Corporation.
Da-Ke He, Ashish Jagmohan, et al.
ISIT 2007
Harpreet S. Sawhney
IS&T/SPIE Electronic Imaging 1994
Robert F. Gordon, Edward A. MacNair, et al.
WSC 1985
John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence