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Special cases of the quadratic shortest path problem [PDF]
The quadratic shortest path problem (QSPP) is the problem of finding a path with prespecified start vertex s and end vertex t in a digraph such that the sum of weights of arcs and the sum of interaction costs over all pairs of arcs on the path is ...
Hao Hu, R. Sotirov
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Applying Dijkstra algorithm for solving neutrosophic shortest path problem
The selection of shortest path problem is one the classic problems in graph theory. In literature, many algorithms have been developed to provide a solution for shortest path problem in a network. One of common algorithms in solving shortest path problem
S. Broumi+4 more
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The disjoint shortest paths problem
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Shortest-path problems and molecular conformation
Given a set of experimentally determined lower and upper bounds on the distances between the atoms of a molecule, we study the minimum and maximum values that any one distance can attain when all of the remaining distances are confined between their lower and upper bounds.
Dress, Andreas, Havel, Timothy F.
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Prim and Floyd-Warshall Comparative Algorithms in Shortest Path Problem
Optimization is an effort to obtain the best results by considering the constraints, constraints, and limitations that exist on a problem; the goal is to minimize or suppress the things that harm and maximize the things that are considered profitable ...
A. Siahaan, M. Mesran
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Long non‐coding RNAs (lncRNAs) occupy an abundant fraction of the eukaryotic transcriptome and an emerging area in cancer research. Regulation by lncRNAs is based on their subcellular localization in HNSCC. This cartoon shows the various functions of lncRNAs in HNSCC discussed in this review.
Ellen T. Tran+3 more
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In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins+2 more
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Shortest path problem under triangular fuzzy neutrosophic information
In this paper, we develop a new approach to deal with neutrosphic shortest path problem in a network in which each edge weight (or length) is represented as triangular fuzzy neutrosophic number.
S. Broumi+4 more
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Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
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Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian+4 more
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