Browsing NTNU Open by Author "Celledoni, Elena"
Now showing items 41-60 of 60
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Numerical Solution of Equilibrium Equations of Spatial Elastica
Ringheim, Inger Marie (Master thesis, 2013)The goal of the thesis was to simulate numerically some equilibrium equationsof spatial elastica, where the equations simulate an elastic rod that has been de-formed. The equations are taken from the article ?Analytical ... -
Optimal Control of Multibody Dynamics with Applications
Nøst, Petter (Master thesis, 2023)Vi presenterer en metode for å representere bjelker ved hjelp av flerkroppsdynamikk, nærmere bestemt et system av stive ledd som kalles en pendelkjede. Ved å innføre ledd i uttrykket som straffer vinkler mellom påfølgende ... -
Optimal reparametrization of curves in shape analysis by introducing a deep neural network architecture
Bærland, Hege (Master thesis, 2021)Former er typisk beskrecet som det som er igjen av et objekt uten å ta hensyn til plassering, rotasjon og størrelse. En stor del av formanalyse består av å definere likheter og forskjeller mellom formene for å utføre ulike ... -
Optimization on Matrix Manifolds with Applications to Blind Source Separation
Kvernelv, Vegard Berg (Master thesis, 2013)Studere hvordan konsepter fra optimeringsteori generaliseres til mangfoldigheter, mer spesifikt matrisemangfoldigheter, og vurdere hvordan dette kan anvendes på "blind source separation"-problemer -
Passivity-preserving splitting methods for rigid body systems
Celledoni, Elena; Høiseth, Eirik Hoel; Ramzina, Nataliya (Journal article, 2018)A rigid body model for the dynamics of a marine vessel, used in simulations of offshore pipe-lay operations, gives rise to a set of ordinary differential equations with controls. The system is input–output passive. We ... -
Predicting bending moments with machine learning
Celledoni, Elena; Gustad, Halvor Snersrud; Kopylov, Nikita; Sundklakk, Henrik Sperre (Peer reviewed; Journal article, 2019)We investigate the possibility of predicting the bending moment of slender structures based on a limited number of deflection measurements. These predictions can help to estimate the wear and tear of the structures. We ... -
Rigid Body Attitude Control
Kleivedalen, Anne Mari (Master thesis, 2014)Geometric numerical integration schemes have been studied for rigid body attitudecontrol problems. We consider symplectic integrators and present a Lie group varia-tional integrator and a discrete gradient method. The two ... -
Shape analysis on homogeneous spaces: a generalised SRVT framework
Celledoni, Elena; Eidnes, Sølve; Schmeding, Alexander (Chapter, 2017)Shape analysis is ubiquitous in problems of pattern and object recognition and has developed considerably in the last decade. The use of shapes is natural in applications where one wants to compare curves independently of ... -
Shape analysis on lie groups and homogeneous spaces
Celledoni, Elena; Eidnes, Sølve; Eslitzbichler, Markus; Schmeding, Alexander (Journal article, 2017)In this paper we are concerned with the approach to shape analysis based on the so called Square Root Velocity Transform (SRVT). We propose a generalisation of the SRVT from Euclidean spaces to shape spaces of curves on ... -
Signatures in Shape Analysis: an Efficient Approach to Motion Identification
Lystad, Pål Erik (Master thesis, 2019)Signaturer gir en konsis beskrivelse av visse geometriske egenskaper ved en kurve - på en reparameteriseringsinvariant måte. Vi foreslår en metode for å klassifisere former basert på signaturer, og sammenligner den med ... -
Signatures in Shape analysis: An efficient approach to motion identification
Celledoni, Elena; Lystad, Pål Erik; Tapia, Nikolas (Peer reviewed; Journal article, 2019)Signatures provide a succinct description of certain features of paths in a reparametrization invariant way. We propose a method for classifying shapes based on signatures, and compare it to current approaches based on the ... -
Structure preserving and machine learning methods for mechanical systems
Çokaj, Ergys (Doctoral theses at NTNU;2024:253, Doctoral thesis, 2024) -
Structure preserving deep learning
Celledoni, Elena; Ehrhardt, Matthias J.; Etmann, Christian; McLachlan, Robert I.; Owren, Brynjulf; Schönlieb, Carola-Bibiane; Sherry, Ferdia (Peer reviewed; Journal article, 2021)Over the past few years, deep learning has risen to the foreground as a topic of massive interest, mainly as a result of successes obtained in solving large-scale image processing tasks. There are multiple challenging ... -
Structure preserving integration of constrained mechanical systems
Høiseth, Eirik Hoel (Doctoral theses at NTNU;2017:157, Doctoral thesis, 2017) -
Structure preserving neural networks based on ODEs
Murari, Davide; Celledoni, Elena; Owren, Brynjulf Rustad; Sherry, Ferdia; Schönlieb, Carola-Bibiane (Research report, 2022) -
Structure-preserving numerical methods with application to problems in particle dynamics
Tapley, Benjamin (Doctoral theses at NTNU;2021:189, Doctoral thesis, 2021) -
Three classes of quadratic vector fields for which the Kahan discretization is the root of a generalised Manin transformation
van der Kamp, Peter H.; Celledoni, Elena; Mclachlan, Robert, i; McLaren, David I.; Owren, Brynjulf; Quispel, Gilles Reinout Willem (Peer reviewed; Journal article, 2019)Three classes of quadratic vector fields for which the Kahan discretization is the root of a generalised Manin transformation -
Two classes of quadratic vector fields for which the Kahan discretization is integrable
Celledoni, Elena; McLachlan, I. Robert; McLaren, David; Owren, Brynjulf; Quispel, Reinout (Journal article, 2016) -
Using aromas to search for preserved measures and integrals in Kahan’s method
Bogfjellmo, Geir; Celledoni, Elena; McLachlan, Robert I.; Owren, Brynjulf Rustad; Quispel, Gilles Reinout Willem (Peer reviewed; Journal article, 2023)The numerical method of Kahan applied to quadratic differential equations is known to often generate integrable maps in low dimensions and can in more general situations exhibit preserved measures and integrals. Computerized ... -
Using discrete Darboux polynomials to detect and determine preserved measures and integrals of rational maps
Celledoni, Elena; Evripidou, Charalambos; McLaren, David I.; Owren, Brynjulf; Quispel, Gilles Reinout Willem; Tapley, Benjamin; van der Kamp, Peter H. (Peer reviewed; Journal article, 2019)In this letter we propose a systematic approach for detecting and calculating integrals and preserved measures of rational maps. The approach is based on the use of cofactors and discrete Darboux polynomials and relies on ...