Results 171 to 180 of about 889,165 (240)
The application of machine learning models to optimal TSP tour length estimation
Abstract The traveling salesman problem (TSP) is a well‐known NP‐hard problem in combinatorial optimization, with numerous applications in logistics and elsewhere. This paper introduces a machine learning‐based approach to estimate the optimal tour length of the TSP, using linear regression, random forests (RF), and neural networks, including ...
Shuhan Kou, Bruce Golden, Luca Bertazzi
wiley +1 more source
EFFICIENT MACHINE LEARNING AND SERVING USING DISJOINT HAMILTONIAN CYCLES
The technology described in this paper relates to the use of disjoint Hamiltonian cycles to support asymmetric communication patterns effectively while maintaining desirable latency control properties of direct-connect topologies.
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Legacies and Ruptures: Europe's Future in a New (?) Era of Geopolitical Uncertainty
Abstract Europe finds itself adrift in a world of rising geopolitical uncertainty. Russia has brought interstate war back to Europe. American democracy and hegemony and the ‘liberal international order’ appear to be in steep decline. The world as Europeans and Americans have known it for 80 years may be gone forever.
Mark Copelovitch
wiley +1 more source
Market Making With Fads, Informed, and Uninformed Traders
ABSTRACT We characterize the solution to a continuous‐time optimal liquidity provision problem in a market populated by informed and uninformed traders. In our model, the asset price exhibits fads —these are short‐term deviations from the fundamental value of the asset.
Emilio Barucci +2 more
wiley +1 more source
Numerical concepts of quantum mechanics are often realized on supercomputers. Today, high‐performance computing employs triple‐hybrid schemes of MPI, CPU‐openMP, and GPU‐openMP. The present article sketches how such a scheme could be utilized in the field of quantum magnetism. ABSTRACT Lanczos concepts are often realized on supercomputers.
Jürgen Schnack
wiley +1 more source
Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu +8 more
wiley +1 more source
Data‐Driven Spectral Prediction for Accelerating Large‐Scale Electronic Structure Calculations
ABSTRACT Simulating large molecular systems comprising thousands of atoms requires highly scalable methodologies. While modern Density Functional Theory (DFT) codes exhibit linear scaling, solving the associated large, sparse generalized eigenproblems remains a critical computational bottleneck on exascale architectures.
Abhiram Badrinarayanan +6 more
wiley +1 more source
Continuation of Periodic Solutions in Conservative Systems Leveraging the First Integral of Motion
ABSTRACT Dynamical systems are often analysed with respect to a system parameter, for which numerical continuation methods are typically used. In most cases, dissipative systems are considered. Here, the continuation of periodic solutions requires the existence of an explicit parameter that can be varied during the continuation process.
Julian Vogelei +2 more
wiley +1 more source
ABSTRACT Generalizability theory quantifies measurement reliability through variance components, but its classical intraclass correlation coefficient assumes Gaussian measurements. For count outcomes with excess zeros—common in behavioural and performance measurement—the reliability computed on the model's link scale systematically overstates the ...
Ruwan C. Karunanayaka
wiley +1 more source
The Legendrian Hopf link has exactly two Lagrangian fillings
Abstract We prove that there are precisely two embedded exact Lagrangian fillings of the standard Legendrian Hopf link, up to compactly supported Hamiltonian isotopy. It was known that the standard Legendrian Hopf link admitted at least two such Lagrangian fillings: we show these are all.
Bryce Thomson
wiley +1 more source

