Results 21 to 30 of about 522,371 (218)
Quantum algorithm for an additive approximation of Ising partition functions [PDF]
Physical Review A, 2014 18 pages, 12 ...
Matsuo, Akira +2 more
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Approximation of Hysteresis Changes in Electrical Steel Sheets
Energies, 2021 This paper describes a simple method of approximating hysteresis changes in electrical steel sheets. This method is based on assumptions that flux density or field strength changes are a sum or a difference of functions that describe one curve of the ...
Witold Mazgaj +2 more
doaj +1 more source
Learning to Fly—a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2021 Robotic simulators are crucial for academic research and education as well as the development of safety-critical applications. Reinforcement learning environments— simple simulations coupled with a problem specification in the form of a reward function ...
Jacopo Panerati +7 more
semanticscholar +1 more source
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces [PDF]
Conference of the Association for Machine Translation in the Americas, 2022 Motivated by the widespread interest in the cross-lingual transfer of NLP models from high resource to low resource languages, research on Cross-lingual word embeddings (CLWEs) has gained much popularity over the years.
P. Aboagye +8 more
semanticscholar +1 more source
Computational Algorithm for Approximating Fractional Derivatives of Functions
Journal of Modeling and Simulation of Materials, 2022 This paper presents an algorithmic approach for numerically solving Caputo fractional differentiation. The trapezoidal rule was modified, the new modification was used to derive an algorithm to approximate fractional derivatives of order α > 0, the fractional derivative used was based on Caputo definition for a given function by a weighted sum of ...
openaire +2 more sources
Journal of Open Research Software, 2022 Function approximation, integration, and optimization are three fundamental mathematical problems. They are especially challenging when the functions involved fluctuate wildly in certain parts of the domain, or if the domain is high dimensional. Ideally,
Xin Tong +9 more
doaj +1 more source
Data in Brief, 2019 This paper presents the data of multimodal functions that emulate the performance of an array of five photovoltaic modules under partial shading conditions.
Carlos Robles-Algarín +2 more
doaj +1 more source
Multiplicative Approximations, Optimal Hypervolume Distributions, and the Choice of the Reference Point [PDF]
, 2013 Many optimization problems arising in applications have to consider several objective functions at the same time. Evolutionary algorithms seem to be a very natural choice for dealing with multi-objective problems as the population of such an algorithm ...
Friedrich, Tobias +2 more
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Радіоелектронні і комп'ютерні системи, 2018 The problem of big data sets processing is considered. Efficiency of algorithms depends mainly on the appropriate mathematical tools. Now there exists a wide variety of different constructive tools for information analysis.
Iryna Victorivna Brysina +1 more
doaj +1 more source
Adaptive Galerkin approximation algorithms for partial differential equations in infinite dimensions [PDF]
, 2011 Space-time variational formulations of infinite-dimensional Fokker-Planck (FP) and Ornstein-Uhlenbeck (OU) equations for functions on a separable Hilbert space $H$ are developed.
Schwab, Christoph, Suli, Endre
core +2 more sources