RT Book, Section
A1 Nino, Elias D.
A1 Cuellar, Sebastian
A1 Molina, Estiven Delgado
A1 Dahmen, Andres
A2 Xie, Yi
SR Print(0)
ID 3625560
T1 A Novel Method for Multivariable Optimization Without Constraintsm
T2 International Conference on Computer and Computer Intelligence (ICCCI 2011)
YR 2011
PB ASME
PP New York, NY
SN 9780791859926
LK http://dx.doi.org/10.1115/1.859926.paper78
RD 2019/07/19
AB This paper presents a compilation of some kind of application examples of unrestricted multivariate optimization problems, using two principal methods one of this is Newton-Raphson method (NR) which is commonly used to calculate roots of a polynomial with only one variable, just with certain kind of changes to calculate roots with multiple variables. We use too the Fletcher-Powell method (FP) for multiple variables; this both methods are commonly used in some problems of optimization, in our case just with some changes to solve some cases where we are not working just with one variable but multiple variables and always looking for the optimization in different problems of some engineering areas. The novel algorithm is an improvement over the Newton's method and can be classified as quasi-Newtonian.