GRAPH THEORY AND COMPUTATIONAL COMPLEXITYFor, AlgorithmsDesign, Vlsi
Concepts from computational complexity theory can be directly applied to the computations that brains must accomplish. For example, one well-known combinatorial optimization problem, the traveling salesman problem, has proven relevant to the analysis of spatial cognition and the diagnoses of cognitive ...
A computational problem is defined as a task that needs to be solved using a computer, and it is classified based on its inherent difficulty in terms of computational complexity theory. AI generated definition based on: Computers in Biology and Medicine, 2015 About this pageSet alert Also in ...
In theoretical computer science, computational complexity theory focuses on classifying computational problems according to their resource usage, and relating these classes to each other. A computational problem is a task solved by a computer. A computation problem is solvable by mechanical application of...
Data Structures, Cryptology and Information Theory Keywords Graph vulnerability Parameterized complexity Complexity Graph algorithms Preprocessing Industry Sectors Aerospace Electronics IT & Software Telecommunications Authors Pål Grønås Drange (1) Markus Dregi (1) Pim van ’t Hof (1) Au...
For instance, in graph theory, given two sets of vertices, there are the min–max disjoint path and the min-sum disjoint path problems. These path problems were considered in several papers, where they are polynomial or NP-complete, according to distinct classes of graphs [13], [18]. ...
Bibliography, Practical, Theoretical or Mathematical/ computational complexitycomputational linguisticsdata mininggraph theorysemantic networkssemantic WebWeb sites/ wiki graphslarge complex networksdocument networksagent networksThis article elaborates a framework for representing and classifying large complex networks...
Thermoelectric materials have received much attention as energy harvesting devices and power generators. However, discovering novel high-performance thermoelectric materials is challenging due to the structural diversity and complexity of the thermoelect
The Computational Complexity of Presburger Arithmetic(Presburger算法的计算复杂性) 热度: Computational Complexity and Decidability of Tileability(平铺性的计算复杂性和可判定性) 热度: Complexity information technology and crisis management(复杂性,信息技术和危机管理) ...
The marriage of density functional theory (DFT) and deep-learning methods has the potential to revolutionize modern computational materials science. Here we develop a deep neural network approach to represent the DFT Hamiltonian (DeepH) of crystalline ma