Results 11 to 20 of about 196,243 (311)
An Intelligent Dual Simplex Method to Solve Triangular Neutrosophic Linear Fractional Programming Problem [PDF]
Neutrosophic Sets and Systems, 2020 This paper develops a general form of neutrosophic linear fractional programming (NLFP) problem and proposed a novel model to solve it. In this method the NLFP problem is decomposed into two neutrosophic linear programming (NLP) problem. Furthermore, the
Sapan Kumar Das +2 more
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Information, 2021 Stationary memoryless sources produce two correlated random sequences Xn and Yn. A guesser seeks to recover Xn in two stages, by first guessing Yn and then Xn.
Robert Graczyk, Igal Sason
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Eventual linear ranking functions [PDF]
Proceedings of the 15th Symposium on Principles and Practice of Declarative Programming, 2013 Program termination is a hot research topic in program analysis. The last few years have witnessed the development of termination analyzers for programming languages such as C and Java with remarkable precision and performance. These systems are largely based on techniques and tools coming from the field of declarative constraint programming.
BAGNARA, Roberto, MESNARD F.
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Diversity Balancing for Two-Stage Collaborative Filtering in Recommender Systems
Applied Sciences, 2020 Conventional recommender systems are designed to achieve high prediction accuracy by recommending items expected to be the most relevant and interesting to users. Therefore, they tend to recommend only the most popular items. Studies agree that diversity
Liang Zhang +4 more
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On the Rank Function of a Differential Poset [PDF]
The Electronic Journal of Combinatorics, 2012 We study $r$-differential posets, a class of combinatorial objects introduced in 1988 by the first author, which gathers together a number of remarkable combinatorial and algebraic properties, and generalizes important examples of ranked posets, including the Young lattice.
Stanley, Richard P., Zanello, Fabrizio
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Ranking with submodular functions on a budget
Data Mining and Knowledge Discovery, 2022 AbstractSubmodular maximization has been the backbone of many important machine-learning problems, and has applications to viral marketing, diversification, sensor placement, and more. However, the study of maximizing submodular functions has mainly been restricted in the context of selecting a set of items.
Guangyi Zhang 0001 +2 more
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Mathematics, 2023 In this work, we propose a 3D dynamic optimization model that enables the design of an underground mine ore pass system with uncertainties. Ore transportation costs and ore pass development costs are quantified by triangular fuzzy numbers. Transportation
Dževdet Halilović +3 more
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Termination Analysis of Single Path Loop Programs Based on Iterative Trajectory Division [PDF]
Jisuanji kexue, 2023 The ranking function has been extensively studied as an important method of program termination analysis.In this paper,we focus on the termination of single-path loops.Firstly,the concept of two-way iterative loops is proposed,and the single-path loops ...
WANG Yao, LI Yi
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Log-rank and lifting for AND-functions [PDF]
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021 20 pages; comments welcome!
Alexander Knop +3 more
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Mathematics, 2019 Geometric programming problems are well-known in mathematical modeling. They are broadly used in diverse practical fields that are contemplated through an appropriate methodology.
Armita Khorsandi +2 more
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