1 citations · 1 across the 4 of their papers we have counts for
4 papers
Generalized-Hukuhara Subgradient Method for Optimization Problem with Interval-valued Functions and its Application in Lasso Problem
Debdas Ghosh, Amit Kumar Debnath, Radko Mesiar +1
In this study, a \emph{-subgradient technique} is developed to obtain efficient solutions to the optimization problems with nonsmooth nonlinear convex interval-valued functions…
Generalized-Hukuhara Subgradient and its Application in Optimization Problem with Interval-valued Functions
Amit Kumar Debnath, Debdas Ghosh, Radko Mesiar +1
In this article, the concepts of gH-subgradients and gH-subdifferentials of interval-valued functions are illustrated. Several important characteristics of the gH-subdifferential o…
Generalized-Hukuhara-Gradient Efficient-Direction Method to Solve Optimization Problems with Interval-valued Functions and its Application in Least Squares Problems
Debdas Ghosha, Amit Kumar Debnath, Ram Surat Chauhan +1
This article proposes a general gH-gradient efficient-direction method and a W-gH-gradient efficient method for the optimization problems with interval-valued functions. The conver…
Generalized Hukuhara-Clarke Derivative of Interval-valued Functions and its Properties
Ram Surat Chauhan, Debdas Ghosha, Jaroslav Ramik +1
In this article, the notion of gH-Clarke derivative for interval-valued functions is proposed. To define the concept of gH-Clarke derivatives, the concepts of limit superior, limit…