مطالب مرتبط با کلیدواژه

Financial problems


۱.

On a Generalized Subclass of p-Valent Meromorphic Functions by Defined q-Derivative Operator(مقاله علمی وزارت علوم)

کلیدواژه‌ها: Meromorphic functions q-calculus q-derivative ε-neighborhood Financial problems

حوزه های تخصصی:
تعداد بازدید : ۲۵۷ تعداد دانلود : ۱۵۹
Financial Mathematics is the application of mathematical methods to financial problems. It is shown that p-valent functions play important roles in Financial Mathematics. In this paper, we define a new subclass of meromorphically p-valent functions by using q-derivative operator and fractional q-calculus operator. We obtain some geometric properties of coefficient estimates, extreme points, convex linear combination, radii of starlikeness and convexity. Finally, ε-neighborhood property will be investigated. Financial Mathematics is the application of mathematical methods to financial problems. It is shown that p-valent functions play important roles in Financial Mathematics. In this paper, we define a new subclass of meromorphically p-valent functions by using q-derivative operator and fractional q-calculus operator. We obtain some geometric properties of coefficient estimates, extreme points, convex linear combination, radii of starlikeness and convexity. Finally, ε-neighborhood property will be investigated.
۲.

A review of meta-heuristic methods for solving location allocation financial problems(مقاله علمی وزارت علوم)

کلیدواژه‌ها: Location routing meta-heuristic Hybridization Financial problems

حوزه های تخصصی:
تعداد بازدید : ۱۵۰ تعداد دانلود : ۱۱۸
In this article, we will examine the financial issues related to multi-period routing and positioning and the related costs, and we will examine the related limitations. These decisions are made about location allocation, inventory and routing in a three-tier supply chain, including suppliers, warehouses and customers. We are looking for new ways to make location and routing decisions simultaneously and efficiently. In order to maximize the search space and achieve optimal results, exploratory and meta-heuristic methods have been used. The meta-heuristic technique is usually used to increase the performance of the hybrid technique. Therefore, this paper provides an overview of meta-heuristic methods and their combination to solve problems. It also examines the advantages and disadvantages of the proposed methods to solve these problems in order to provide more efficient methods.