the major disadvantages of generalized eigenvalue based method lie in that they may be time-consuming and fail to get a stable or optimal solution due to the matrix singularity. This paper proposes a new method using a DC Algorithm scheme to solve a fractional optimization models which ensure the optimality of the solution.
-
Notifications
You must be signed in to change notification settings - Fork 0
the major disadvantages of generalized eigenvalue based method lie in that they may be time-consuming and fail to get a stable or optimal solution due to the matrix singularity. This paper proposes a new method using a DC Algorithm scheme to solve a fractional optimization models which ensure the optimality of the solution.
Gxhappiness/A-DC-Algorithm-Scheme-For-Generalized-Eigenvalue-Classifiers
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
the major disadvantages of generalized eigenvalue based method lie in that they may be time-consuming and fail to get a stable or optimal solution due to the matrix singularity. This paper proposes a new method using a DC Algorithm scheme to solve a fractional optimization models which ensure the optimality of the solution.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published