Results 41 to 50 of about 269,920 (285)

Split-critical and uniquely split-colorable graphs [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2010
Graphs and ...
Tınaz Ekim   +2 more
doaj   +1 more source

Application of Discrete Mathematics for Programming Discrete Mathematics Calculations

open access: yes, 2023
In the discrete mathematics courses, topics, such as the calculation of the element in any position of a sequence of numbers generated by some recurrence relation, calculation of multiplicative inverses in algebraic ring structures modulo a number n, obtaining the complete list of combinations without repetition, for which you can take advantage of the
openaire   +2 more sources

Sparse Group Feature Selection by Weighted Thresholding Homotopy Method

open access: yesIEEE Access, 2020
In this paper, we investigate the sparse group feature selection problem, in which covariates posses a grouping structure sparsity at the level of both features and groups simultaneously.
Jinglan Wu, Huating Huang, Wenxing Zhu
doaj   +1 more source

On discrete constant principal curvature surfaces [PDF]

open access: yesarXiv, 2023
Recently, it is discovered that a certain class of nanocarbon materials has geometrical properties related to the discrete geometry, pre-constant discrete principal curvature [9] based on the discrete surface theory proposed on trivalent graphs by Kotani, Naito and Omori [10].
arxiv  

Chemistry and discrete mathematics

open access: yesDiscrete Applied Mathematics, 1996
Chemistry is rightly classified as one of the mathematical sciences; for it is very clear how certain branches of continuous mathematics can play an important role in the study of chemical processes. It is, perhaps, not quite so clear to what extent discrete mathematics lends itself to chemical application.
openaire   +2 more sources

Mathematical modelling and discrete mathematics: opportunities for modern mathematics teaching

open access: yesZDM – Mathematics Education, 2022
AbstractDiscrete mathematics and mathematical modelling, along with the educational discourse surrounding these, have many connections. However, ways that the educational discourse on discrete mathematics can benefit from the inclusion of examples of mathematical modelling and the accompanying discussion are currently under-researched.
Gilbert Greefrath   +3 more
openaire   +5 more sources

The Harmonic Oscillator on the Heisenberg Group

open access: yesComptes Rendus. Mathématique, 2020
In this note we present a notion of harmonic oscillator on the Heisenberg group $\mathbf{H}_n$ which forms the natural analogue of the harmonic oscillator on $\mathbb{R}^n$ under a few reasonable assumptions: the harmonic oscillator on $\mathbf{H}_n ...
Rottensteiner, David, Ruzhansky, Michael
doaj   +1 more source

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

open access: yesInternational 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   +2 more
wiley   +1 more source

Graph partitioning: an updated survey

open access: yesAKCE International Journal of Graphs and Combinatorics, 2023
Graph partitioning problem, which is one of the most important topics in graph theory, usually asks for a partition of the vertex set of a graph into pairwise disjoint subsets with various requirements. It comes from the well-known Max-Cut Problem: Given
Shufei Wu, Jianfeng Hou
doaj   +1 more source

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

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