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Analytical and numerical solutions of radially symmetric aquifer thermal energy storage problems
(Peer reviewed; Journal article, 2023)Aquifer thermal energy storage (ATES) systems offer reduced energy costs, lower carbon emissions, and increased energy resilience. The feasibility, however, depends on several factors and usually require optimization. We ... -
Analyzing the Impact of COVID-19 on the Total Points Scored in NBA Basketball Matches: A Comparitive Study of Pre and Post-Pandemic Seasons
(Bachelor thesis, 2023)I denne oppgaven skal jeg analysere hvilken innvirkning Covid-19-pandemien hadde på antall poeng scoret i en NBA-basketballkamp. Jeg skal finne den modellen som passer best til dataene, og analysere hjemmebanefordelen og ... -
Animal Models and Integrated Nested Laplace Approximations
(Journal article; Peer reviewed, 2013)Animal models are generalized linear mixed models used in evolutionary biology and animal breeding to identify the genetic part of traits. Integrated Nested Laplace Approximation (INLA) is a methodology for making fast, ... -
Animal models with group-specific additive genetic variances: extending genetic group models
(Journal article; Peer reviewed, 2019)Background The animal model is a key tool in quantitative genetics and has been used extensively to estimate fundamental parameters, such as additive genetic variance or heritability. An implicit assumption of animal ... -
Anisotropic Total Variation Based Image Restoration Using Graph Cuts
(Master thesis, 2015)In this thesis we consider a particular kind of edge-enhancing image restoration method based on total variation. We want to address the fact that the total variation method in some cases leads to contrast loss in thin ... -
Anonymity for Decentralized Electronic Cash Systems
(Master thesis, 2018)In 2008 Bitcoin was introduced as the first decentralized electronic cash system and it has seen widespread adoption since it became fully functional in 2009. This thesis describe the Bitcoin system, anonymity aspects for ... -
Anonymity in Network Connections for Mobile Communication
(Master thesis, 2012)This thesis summarizes an existing protocol, that we have chosen to call the Token Key Agreement protocol. It then goes on to introduce two new protocols we have chosen to name the Symmetric Key Agreement protocol and the ... -
Anonymous Tokens with Public Metadata and Applications to Private Contact Tracing
(Peer reviewed; Journal article, 2022)Anonymous single-use tokens have seen recent applications in private Internet browsing and anonymous statistics collection. We develop new schemes in order to include public metadata such as expiration dates for tokens. ... -
Application of a Bayesian Choice Model on Monthly Client Data - at SpareBank 1 SMN
(Master thesis, 2015)This paper applies a Bayesian Dynamic Choice model on monthly collected client data at SpareBank 1 SMN in order to examine the rate at which they enter or leave Life- and Danage-insurance. The main goal of the paper is ... -
Application of Nek5000 to dispersion simulations
(Master thesis, 2016)Simulations of turbulent flow and gas dispersion are performed using Nek5000, with and without a subgrid-scale model. The results are compared with data from wind- tunnel experiments and previously performed simulations ... -
Application of the wavelet transform for analysis of ultrasound images
(Master thesis, 2008)In this master thesis we analyse medical ultrasound images using the wavelet transform. Mathematical theory is introduced for both one-dimensional and two-dimensional functions. Three edge detectors based on the mathematical ... -
Applications and Generalizations of The Algebraic Stability Theorem
(Doctoral thesis at NTNU;2015:344, Doctoral thesis, 2015) -
Applications of p-adic Numbers to well understood Quantum Mechanics: With a focus on Weyl Systems and the Harmonic Oscillator
(Master thesis, 2012)In this thesis we look at how it is possible to construct models in quantum mechanics by using p-adic numbers. First we look closely at different quantum mechanical models using the real numbers, as it is necessary to ... -
Applications of Paillier s Cryptosystem.
(Master thesis, 2016)Applications of Paillier s crypto system to electronic voting. -
Applications of splitting Methods and exponential Integrators to an electro-chemical Heart Cell Model
(Master thesis, 2007)In this thesis we discuss how a system of ordinary differential equations (ODE) describing electro-chemical processes in a heart cell can be solved by numerical methods. The system is stiff, and explicit numerical solvers ... -
Applying hybrid methods to reduce nonphysical cycles in the flux field
(Master thesis, 2012)In this thesis we present the theoretical background for the two-point flux-approximation method; (TPFA), mimetic discretisation methods, and the multipoint flux approximation method; (MPFA). Theoretical arguments concerning ... -
Applying quantum harmonic analysis to Convolutional Neural Networks
(Master thesis, 2023)I løpet av de siste fem årene har rammeverket for tid-frekvensanalyse blitt komplementert med begreper som blandet tilstandslokalisering operatorer, Cohen-klassen til en operator og dens akkumulerte versjon. Inspirasjonen ... -
Approximate Bayesian Inference Based on Expected Evaluations
(Peer reviewed; Journal article, 2023)Approximate Bayesian computing (ABC) and Bayesian Synthetic likelihood (BSL) are two popular families of methods to evaluate the posterior distribution when the likelihood function is not available or tractable. For existing ... -
Approximate Bayesian Inference for Latent Gaussian Models
(Doktoravhandlinger ved NTNU, 1503-8181; 2007:214, Doctoral thesis, 2007)This thesis consists of five papers, presented in chronological order. Their content is summarised in this section. Paper I introduces the approximation tool for latent GMRF models and discusses, in particular, the ... -
Approximate Bayesian inference for spatial econometrics models
(Journal article; Peer reviewed, 2014)In this paper we explore the use of the Integrated Laplace Approximation (INLA) for Bayesian inference in some widely used models in Spatial Econometrics. Bayesian inference often relies on computationally intensive ...