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[Editor] Graph12 DL : 0: Euler公式来源及其应用，和图论的结合，pdf格式，-Euler formula for the sources and applications, and the combination of graph theory, pdf format,
Date : 2026-01-01 Size : 1kb User : 刘东
[Editor] graphtheory.pdf DL : 0: 图论，Graph Theory，第二版，Reinhard著。比较经典的书。-Graph Theory, Graph Theory, second edition, Reinhard forward. Comparison of the classic book.
Date : 2026-01-01 Size : 1.62mb User : 李昂
[Editor] OLEAuto DL : 0: MS Office Automation using C++” - this what I started searching over the internet a few weeks back to plot a graph in an Excel sheet through my program. Fortunately, I got a few - actually very few - inputs from the cyber world, might be because I am a poor searcher in the internet. This article is for those who are still searching the internet with the same keywords.-MS Office Automation using C++”- this is what I started searching over the internet a few weeks back to plot a graph in an Excel sheet through my program. Fortunately, I got a few- actually very few- inputs from the cyber world, might be because I am a poor searcher in the internet. This article is for those who are still searching the internet with the same keywords.
Date : 2026-01-01 Size : 38kb User : mxw
[Editor] graphpartition DL : 0: MATLAB function to partition very large graphs very fast. This function implements a graph partitioning algorithm based on spectral factorization. This algorithm is described in the following technical report: Joã o Hespanha. An efficient MATLAB Algorithm for Graph Partitioning. Technical Report, University of California, Oct. 2004. Available at http://www.ece.ucsb.edu/~hespanha/techrep.html. This algorithm was extensively used in this paper: C. Lim, S. Bohacek, J. Hespanha, K. Obraczka. Hierarchical Max-Flow Routing. In Proc. of the IEEE GLOBECOM, Nov. 2005.
Date : 2026-01-01 Size : 120kb User : leyla
[Editor] Graph-In-AUC DL : 0: Graphic in AUC software in order to insert graph for Arion receiver types
Date : 2026-01-01 Size : 276kb User : Osman
[Editor] myMatlab-code DL : 0: In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD thesis,[1][2] the first algorithm was aiming to search for an optimal path in a graph, based on the behavior of ants seeking a path between their colony and a source of food. The original idea has since diversified to solve a wider class of numerical problems, and as a result, several problems have emerged, drawing on various aspects of the behavior of ants. From a broader perspective, ACO performs a model-based search [3] and share some similarities with Estimation of Distribution
Date : 2026-01-01 Size : 14kb User : ibra
[Editor] ypea104-acor DL : 0: continuous ACO. In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD thesis,[1][2] the first algorithm was aiming to search for an optimal path in a graph, based on the behavior of ants seeking a path between their colony and a source of food. The original idea has since diversified to solve a wider class of numerical problems, and as a result, several problems have emerged, drawing on various aspects of the behavior of ants. From a broader perspective, ACO performs a model-based search [3] and share some similarities with Estimation of Distribution
Date : 2026-01-01 Size : 7kb User : ibra