Results 71 to 80 of about 8,908,443 (404)

Minimum energy configurations of classical charges: Large N asymptotics

, 2009
We study minimum energy configurations of $N$ particles in $\R^3$ of charge -1 (`electrons') in the potential of $M$ particles of charges $Z_\alpha>0$ (`atomic nuclei').
Capet, Stephane, Friesecke, Gero
core   +1 more source

Quant GANs: deep generation of financial time series [PDF]

Quantitative finance (Print), 2019
Modeling financial time series by stochastic processes is a challenging task and a central area of research in financial mathematics. As an alternative, we introduce Quant GANs, a data-driven model which is inspired by the recent success of generative ...
Magnus Wiese, R. Knobloch, R. Korn, Peter Kretschmer   +3 more
semanticscholar   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Early Fractions Learning of 3rd Grade Students in SD Laboratorium Unesa

Journal on Mathematics Education, 2012
Fractions varied meanings is one of the causes of difficulties in learning fractions. These students  should be given greater opportunities to explore the meaning of fractions before they learn the relationship between fractions and operations on ...
Elisabet Ayunika Permata Sari, Dwi Juniati, Sitti Maesuri Patahudin   +2 more
doaj   +1 more source

Do It by Yourself: An Instructional Derivation of the Laplacian Operator in Spherical Polar Coordinates

Mathematics, 2021
For scientists and engineers, the Laplacian operator is a fundamental tool that has made it possible to carry out important frontier studies involving wave propagation, potential theory, heat conduction, the distribution of stresses in a deformable solid
Ana Laura Pérez-Martínez, Maria del Pilar Aguilar-Del-Valle, Arturo Rodríguez-Gomez   +2 more
doaj   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion

Advanced Engineering Materials, EarlyView.
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann, Eduard Ortlieb, Hendrik Wester, Paul Christoph Gembarski, Bernd‐Arno Behrens, Roland Lachmayer   +5 more
wiley   +1 more source

Simulation of Inhomogeneous Refractive Index Fields Induced by Hot Tailored Forming Components

Advanced Engineering Materials, EarlyView.
This article presents a simulation model for simulating inhomogeneous refractive index fields (IRIF) in hot‐forged components, accounting for thermal influences and complex geometries. Through this simulation, a priori knowledge about the propagation of the IRIF can be obtained, allowing for the positioning of the component or an optical measurement ...
Pascal Kern, Lennart Hinz, Markus Kästner, Eduard Reithmeier   +3 more
wiley   +1 more source

Fourier quasicrystals and distributions on Euclidean spaces with spectrum of bounded density [PDF]

arXiv, 2022
We consider temperate distributions on Euclidean spaces with uniformly discrete support and locally finite spectrum. We find conditions on coefficients of distributions under which they are finite sum of derivatives of generalized lattice Dirac combs.
arxiv  

The Beta-Lindley Distribution: Properties and Applications

Journal of Applied Mathematics, 2014
We introduce the new continuous distribution, the so-called beta-Lindley distribution that extends the Lindley distribution. We provide a comprehensive mathematical treatment of this distribution.
Faton Merovci, V. Sharma
semanticscholar   +1 more source