We begin by outlining the basic definitions and theorems needed to be able to add, multiply, and average flags. We then discuss how to translate this into the plain flag algebra method and how one can then impl
As the graph coloring problem is NP-hard an optimal solution should be designed, to allocate the resource properly by a global scheduler or distributed optimization techniques. Distributed solutions are naturally preferred for a large-scale network to decrease computational complexity. For instance, a ...
problems, as well as many innocent-looking problems that seem completely out of reach of the currently-known techniques. We will also see some of the many connections these questions have to other areas of mathematics, including geometry, number theory, probability, and theoretical computer science...
These efforts are also inevitable when applying a traditional method based on various optimization techniques which may require a long iteration update process. The second advantage is that the machine learning models are more effective in learning wide and dynamically changing data than statistical and...
QAOA is one of the flavors of VQA, and it is considered to assert so-called "Quantum Supremacy". I have implemented a Quantum circuit to solve Max-Cut problem. I have written a report of my work. optimizationquantum-computingqiskitgraphtheoryqaoamaxcutvqe ...
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Decision Making Methods” and “Advanced Modeling and Optimization of Manufacturing Processes: International Research and development” and “Mechanical Design Optimization Using Advanced Optimization Techniques” and all these books have been published by Springer Verlag, UK in 2007, 2011 and 2012 ...
Graph theory is a flourishing discipline containing a body of beautiful and powerful theorems of wide applicability. Its explosive growth in recent years is mainly due to its role as an essential structure underpinning modern applied mathematics – computer science, combinatorial optimization, and operati...
In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge and process design experience contained in them are difficult to express and reuse. Therefore, a process
We propose a new type of supervised visual machine learning classifier, GSNAc, based on graph theory and social network analysis techniques. In a previous study, we employed social network analysis techniques and introduced a novel classification model (