Browsing Institutt for matematiske fag by Title
Now showing items 1244-1263 of 2364
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Methods in Uncertain Multi-Objective Optimization
(Master thesis, 2021)Vi starter oppgaven med å diskutere konsepter for effektivitet for multi-objektive optimaliseringsproblemer med usikkerhet ved å bruke forskjellige ordrerelasjoner for sett. Til sammen diskuterer vi fire forskjellige ... -
Metodar og data til estimering av parametrar i risikomodellen for transport av farleg gods
(Master thesis, 2007)Det er utvikla ein nasjonal risikomodell for transport av farleg gods. Parametrar i modellen skal estimerast ved statistiske metodar eller fastsetjast ved ekspertvurderingar. Statistiske metodar med naudsynte data til ... -
Microbial Enhanced Oil Recovery - Modeling and Numerical Simulations
(Master thesis, 2015)This thesis examines the process by which microbes are used to enhance oil recovery from subsurface reservoirs. A brief introduction to reservoirs is given and the possible effects of microbes are explained. A model is ... -
Mimetic Finite Difference Method on GPU: Application in Reservoir Simulation and Well Modeling
(Master thesis, 2010)Heterogeneous and parallel computing systems are increasingly appealing to high-performance computing. Among heterogeneous systems, the GPUs have become an attractive device for compute-intensive problems. Their many-core ... -
Minimal complexes of cotorsion flat modules
(Journal article; Peer reviewed, 2019)Let R be a commutative noetherian ring. We give criteria for a complex of cotorsion flat R-modules to be minimal, in the sense that every self homotopy equivalence is an isomorphism. To do this, we exploit Enochs' description ... -
Minimal semi-flat-cotorsion replacements and cosupport
(Journal article; Peer reviewed, 2020)Over a commutative noetherian ring Rof finite Krull dimension, we show that every complex of flat cotorsion R-modules decomposes as a direct sum of a minimal complex and a contractible complex. Moreover, we define the ... -
Minimal Surfaces in Sub-Riemannian Geometries with Applications to Perceptual Completion
(Master thesis, 2009)A preliminary study of the papers ``A Cortical Based Model of Perceptual Completion in the Roto-Translation Space'' and ``Minimal Surfaces in the Roto-Translation Group with Applications to a Neuro-Biological Image Completion ... -
Missing Data An Introduction
(Bachelor thesis, 2020)Grunnet hvor viktig dataanalyse er i mye menneskelig aktivitet, fra vitenskap til industri, så er metoder for å håndtere feil i data et viktig studiefelt. En slik feil er såkalt ''missing data''. Denne oppgaven gir leseren ... -
Mixed Method for Isogeometric Analysis of Coupled Flow and Deformation in Poroelastic Media
(Peer reviewed; Journal article, 2022)Pressure oscillations at small time steps have been known to be an issue in poroelasticity simulations. A review of proposed approaches to overcome this problem is presented. Critical time steps are specified to alleviate ... -
Mixed-State Localization Operators: Cohen’s Class and Trace Class Operators
(Journal article; Peer reviewed, 2019)We study mixed-state localization operators from the perspective of Werner’s operator convolutions which allows us to extend known results from the rank-one case to trace class operators. The idea of localizing a signal ... -
Mixnets and Verifiable Shuffling
(Master thesis, 2018)In this thesis we consider different mix network protocols. First, we discuss a protocol called cMix. We describe the concept of verifiable shuffling, that enable mixnodes to prove that they operate correctly according to ... -
Mixture models for flood frequency analysis - A case study for Norway
(Master thesis, 2017)Flood frequency analysis (FFA) concerns prediction of the magnitude and corresponding frequency of extreme flood events. Extreme floods can be the result of various hydrological processes. In Norway, rainfall and snowmelt ... -
Mobile Assessments of Mood, Cognition, Smartphone-Based Sensor Activity, and Variability in Craving and Substance Use in Patients With Substance Use Disorders in Norway: Prospective Observational Feasibility Study
(Peer reviewed; Journal article, 2023)Background: Patients with substance use disorders (SUDs) are at increased risk for symptom deterioration following treatment, with up to 60% resuming substance use within the first year posttreatment. Substance use craving ... -
Mobile Sensing in Substance Use Research: A Scoping Review
(Peer reviewed; Journal article, 2020)Background:Addictive disorders and substance use are significant health challenges worldwide, and relapse is a core component of addictive disorders. The dynamics surrounding relapse and especially the immediate period ... -
Model Choice and Experimental Design for Generalized Linear Spatial Models
(Master thesis, 2007)In this paper we look at generalised linear spatial models, in a bayesian setting. For inference we use a special approxomative technique known as the Laplace approximation. We examine a dataset consisting of radionucleide ... -
Model fusion with physics-guided machine learning: Projection-based reduced-order modeling
(Journal article; Peer reviewed, 2021)The unprecedented amount of data generated from experiments, field observations, and large-scale numerical simulations at a wide range of spatiotemporal scales has enabled the rapid advancement of data-driven and especially ... -
Model-Based Multiresolution Small Area Estimation
(Master thesis, 2021)Nøyaktige og pålitelige estimater for vaksinasjonsdekning i lav- og middelsinntektsland spiller en viktig rolle for planlegging og gjennomføring av folkehelsepolitikk, og for igangsettelse av supplementerende vaksinasjonsprogram. ... -
Model-based ordination for species with unequal niche widths
(Peer reviewed; Journal article, 2021)1. It is common practice for ecologists to examine species niches in the study of community composition. The response curve of a species in the fundamental niche is usually assumed to be quadratic. The centre of a quadratic ... -
Modeling and Calibration of Electricity Price Dynamics for Derivatives Valuation
(Master thesis, 2013)The objective of this thesis is to model electricity price dynamics and use the results to valuate derivatives. Electricity prices are known to display features such as spikes, seasonality and jumps, leading to large ... -
Modeling and inference for Bayesian animal models in the presence of non-ignorable missing data.: The shared random effects method.
(Master thesis, 2010)Missing data in quantitative genetic studies of wild populations poses a non-trivial issue. To obtain unbiased inferences in the presence of non-ignorable missing data, it is necessary to model the joint distribution of ...