Blar i Department of Mathematics på tittel
Viser treff 256-275 av 1096
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En komparativ studie av 2P-elevers og 10.klassingers bruk av strategier og begrunnelsesnivå i figurmønsteroppgaver
(Master thesis, 2020-06-25)Bakgrunnen for valg av tema i denne masteroppgaven er at mange elever har vansker knyttet til algebra. Elevenes pensumbøker fokuserer lite på generalisering av aritmetikk (Kongelf, 2015, s. 104), og har et stort fokus på ... -
En kvalitativ studie av elevers matematiske kompetanse uttrykt i arbeid med en problemløsningsoppgave med programmering som hjelpemiddel.
(Master thesis, 2021-06-01)Hensikten med dette prosjektet var å få innsikt i hvordan elevenes matematiske kompetanse og arbeidsprosess ble påvirket gjennom bruk av en problemløsningsoppgave. Grunnet innføring av programmering i den nye læreplanen, ... -
En studie av Letterplace- og Co-letterplace-idealer over et poset P, når |P| = 2,3
(Master thesis, 2017-12-20) -
Energetic costs of cellular and therapeutic control of stochastic mitochondrial DNA populations
(Peer reviewed; Journal article, 2019-06-26)The dynamics of the cellular proportion of mutant mtDNA molecules is crucial for mitochondrial diseases. Cellular populations of mitochondria are under homeostatic control, but the details of the control mechanisms involved ... -
Energieffektivitet i grunne geotermiske systemer. Modellering og analyse av systemet på Ljan skole.
(Master thesis, 2013-06-17)Grunnvarme er en stadig viktigere og mer anvendt energikilde i en verden med et økende energibehov, og det er i den forbindelse viktig å utforme systemer som kan utnytte energien på en effektiv måte. Denne oppgaven tar for ... -
Energy and entropy stable numerical methods with injected boundary conditions
(Doctoral thesis, 2024-01-26)I denne avhandlingen studerer vi de kompressible Navier-Stokes-likningene formulert med både adiabatiske veggrandvilkår og fjernfeltvilkår. Selv om det er ukjent om disse likningene er velformulerte er de av stor interesse, ... -
Enkel matematikk i litt meir komplisert fysikk
(Master thesis, 2019-06-22)Som lærar både i fysikk og matematikk på vidaregåande skule har eg lagt merke til at nokre elevar slit med enkle rekneoperasjonar, særleg dei som involverer divisjon. Difor har eg arbeidd med å finna svar på fylgjande ... -
Ensemble Methods of Data Assimilation in Porous Media Flow for Non-Gaussian Prior Probability Density
(Doctoral thesis, 2015-08-28)Ensemble-based data-assimilation methods have gained fast growth since the ensemble Kalman filter (EnKF) was introduced into the petroleum engineering. Many techniques have been developed to overcome the inherent disadvantages ... -
Entropy solutions of the compressible Euler equations
(Journal article, 2015-05-11)We consider the three-dimensional Euler equations of gas dynamics on a bounded periodic domain and a bounded time interval. We prove that Lax-Friedrichs scheme can be used to produce a sequence of solutions with ever finer ... -
Entropy stability for the compressible Navier-Stokes equations with strong imposition of the no-slip boundary condition
(Journal article; Peer reviewed, 2022)We consider the compressible Navier-Stokes equations subject to no-slip adiabatic wall boundary conditions. The main goal is to investigate stability properties of schemes imposing the no-slip condition strongly (injection) ... -
Entropy stable boundary conditions for the Euler equations
(Journal article; Peer reviewed, 2021)We consider the initial-boundary value Euler equations with the aim to derive boundary conditions that yield an entropy bound for the physical (Navier-Stokes) entropy. We begin by reviewing the entropy bound obtained for ... -
ENUMATH 2017: Book of Abstracts
(Book of abstracts, 2017) -
Epistemic Uncertainty Quantification in Deep Learning by the Delta Method
(Doctoral thesis, 2022-05-16)This thesis explores the Delta method and its application to deep learning image classification. The Delta method is a classical procedure for quantifying uncertainty in statistical models, but its direct application to ... -
Epistemic uncertainty quantification in deep learning classification by the Delta method
(Journal article; Peer reviewed, 2022)The Delta method is a classical procedure for quantifying epistemic uncertainty in statistical models, but its direct application to deep neural networks is prevented by the large number of parameters . We propose a low ... -
Equitable access to cancer patient pathways in Norway – a national registry-based study
(Journal article; Peer reviewed, 2021)Background In 2015, cancer patient pathways (CPP) were implemented in Norway to reduce unnecessary non-medical delay in the diagnostic process and start of treatment. The main aim of this study was to investigate the ... -
Equivalent Euclidean Data Complexes
(Master thesis, 2021-06-01)Euclidean data complexes are simplicial complexes that have been constructed from a point cloud in Euclidean space. Two of the most important examples of such complexes are the Čech and Alpha complex. In this thesis, we ... -
Er konsum av melk og egg assosiert med risiko for kreft? Foreløpige resultater fra en prospektiv undersøkelse
(Peer reviewed; Journal article, 1997) -
Essays on Portfolio Risk Management and Weather Derivatives
(Doctoral thesis, 2023-08-25)Denne avhandlingen handler om utvikling og praktisk implementering av risikostyringsmetoder for investeringsporteføljer, energiporteføljer, og håndtering av vær- og forurensningsrisiko. Avhandlingen inkluderer tre ... -
Estimating the discretization dependent accuracy of perfusion in coupled capillary flow measurements
(Peer reviewed; Journal article, 2018-07-20)One-compartment models are widely used to quantify hemodynamic parameters such as perfusion, blood volume and mean transit time. These parameters are routinely used for clinical diagnosis and monitoring of disease development ... -
Estimating the size of undetected cases of the COVID-19 outbreak in Europe: An upper bound estimator
(Journal article; Peer reviewed, 2020)Background While the number of detected COVID-19 infections are widely available, an understanding of the extent of undetected cases is urgently needed for an effective tackling of the pandemic. The aim of this work is ...