On a certain track team, the runners all take between 4 and 7 minutes to finish a mile. The probability density function for the length of time it takes a runner to ...
Decision making problems in hierarchical managerial or public organizations are often formulated as two-level mathematical programming problems [1,2]. In the context of two-level programming, the ...
A class of linear combinations of order statistics (LCOSs) based on a random sample drawn from an arbitrary distribution is represented as a sum of independent and identically distributed random ...
ABSTRACT: In this paper, we propose an implementation method for a new concept of stochastic duration which can be used to measure the sensitivity of complex bond portfolios with respect to the ...
Abstract: The aim of this paper is to introduce a formulation of linear programming problems involving intuitionistic fuzzy variables. Here, we will focus on duality and a simplex-based algorithm for ...
Canonical discriminant analysis is a dimension-reduction technique related to principal component analysis and canonical correlation. Given a classification variable and several interval variables, ...
The Central Limit Theorem (CLT) says that the distribution of a sum of independent random variables from a given population converges to the normal distribution as the sample size increases, ...
NOLA is a novel approach for fine-tuning large models such as LLMs and Vision Transformers. Similar to LoRA, NOLA uses a low-rank decomposition of weight matrices for the fine-tuning step. However, ...
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