Abstract: To address the issue that the ordering of sample indicators may affect the results of the grey relational analysis model (GRA) based on panel data, a novel GRA model based on vector-valued ...
In this paper, the vector-valued regular functions are extended to the locally convex space. The residues theory of the functions in the locally convex space is achieved. Thereby the Cauchy theory and ...
The methods here apply to continuous functions that are finite compositions of simple "scientific calculator" operations, but may be nonsmooth. Operator overloading is used to automatically apply ...
ABSTRACT: This note studies the optimality conditions of vector optimization problems involving generalized convexity in locally convex spaces. Based upon the concept of Dini set-valued directional ...
The striatum is thought to learn to select actions based on environmental feedback and rewards using a dopamine feedback signal. When the action is continuous and mutlidimensional, e.g., a reaching ...
Abstract: The derivative constrained Capon estimator using an integrated mode vector (DECCIM) suitable for automotive radar is proposed. The DECCIM estimates angular spread (AS) and ...
We consider an interval-valued multiobjective problem. Some necessary and sufficient optimality conditions for weak efficient solutions are established under new generalized convexities with the ...
Let E be a Banach function space on a probability measure space (Ω,Σ,μ). Let X be a Banach space and E(X) be the associated Köthe-Bochner space. An operator on E(X) is called a multiplication operator ...
Interval-valued optimization problems constitute a rapidly evolving field in applied mathematics and engineering, addressing situations where uncertainty and imprecision are inherent in model ...
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