Department of Mathematics
Nye registreringer

Inferring CRCs progression dynamic with HyperTraPS
(Master thesis, 20210707) 
Robust Optimization for Sequential Field Development Planning
(Doctoral thesis, 20210924)To achieve high profitability from an oil field, optimizing the field development strategy (e.g., well type, well placement, drilling schedule) before committing to a decision is critically important. The profitability at ... 
Improving Sequential Decisions – Efficiently Accounting for Future Learning
(Journal article; Peer reviewed, 2021)In sequential field development planning, past decisions not only directly affect the maximum achievable expected NPV but also influence the future information that can be used to reduce geological uncertainty. To act ... 
Brauer Groups of Bielliptic Surfaces and Twisted Derived Equivalences
(Doctoral thesis, 20210830)This thesis focuses on two interrelated projects. The first project concerns the study of bielliptic surfaces, their Brauer groups and the pullback maps from their Brauer groups to those of their canonical covers. We prove ... 
Moduli of nonstandard Nikulin surfaces in low genus
(Journal article; Peer reviewed, 2020)Primitively polarized genus g Nikulin surfaces (S, M, H) are of two types, that we call standard and nonstandard depending on whether the lattice embedding Z[H] ⊕⊥ N ⊂ Pic S is primitive. Here H is the genus g polarization ... 
Conditioning reservoir models on vast data sets
(Doctoral thesis, 20210909)History matching is a valuable process to obtain better models and a more reliable forecast in oil reservoir applications. In such processes, one conditions the simulation models on the observed data from the field. One ... 
Impact of parents' education on variation in hospital admissions for children: a populationbased cohort study
(Journal article; Peer reviewed, 2021)Objectives To assess the impact of parental educational level on hospital admissions for children, and to evaluate whether differences in parents' educational level can explain geographic variation in admission rates. ... 
Fast robust optimization using bias correction applied to the mean model
(Peer reviewed; Journal article, 2021)Ensemble methods are remarkably powerful for quantifying geological uncertainty. However, the use of the ensemble of reservoir models for robust optimization (RO) can be computationally demanding. The straightforward ... 
Admissibility conditions for Riemann data in shallow water theory
(Journal article; Peer reviewed, 2020)Consideration is given to the shallowwater equations, a hyperbolic system modeling the propagation of long waves at the surface of an incompressible inviscible fluid of constant depth. It is well known that the solution ... 
Pairwise local Fisher and naive Bayes: Improving two standard discriminants
(Journal article; Peer reviewed, 2020)The Fisher discriminant is probably the best known likelihood discriminant for continuous data. Another benchmark discriminant is the naive Bayes, which is based on marginals only. In this paper we extend both discriminants ... 
WellPosedness for a Whitham–Boussinesq System with Surface Tension
(Journal article; Peer reviewed, 2020)We regard the Cauchy problem for a particular Whitham–Boussinesq system modelling surface waves of an inviscid incompressible fluid layer. The system can be seen as a weak nonlocal dispersive perturbation of the shallow ... 
Nonlinear Spectral Analysis: A Local Gaussian Approach
(Journal article; Peer reviewed, 2020)The spectral distribution f(ω) of a stationary time series {Yt}t∈Z can be used to investigate whether or not periodic structures are present in {Yt}t∈Z, but f(ω) has some limitations due to its dependence on the autocovariances ... 
Extreme wave runup on a steep coastal profile
(Journal article; Peer reviewed, 2020)It is shown that very steep coastal profiles can give rise to unexpectedly large wave events at the coast. We combine insight from exact solutions of a simplified mathematical model with photographs from observations at ... 
Robust nonlinear regression estimation in null recurrent time series
(Journal article; Peer reviewed, 2020)In this article, we study parametric robust estimation in nonlinear regression models with regressors generated by a class of nonstationary and null recurrent Markov processes. The nonlinear regression functions can be ... 
Stable mixed finite elements for linear elasticity with thin inclusions
(Journal article; Peer reviewed, 2021)We consider mechanics of composite materials in which thin inclusions are modeled by lowerdimensional manifolds. By successively applying the dimensional reduction to junctions and intersections within the material, a ... 
Guaranteed and computable error bounds for approximations constructed by an iterative decoupling of the Biot problem
(Journal article; Peer reviewed, 2021)The paper is concerned with guaranteed a posteriori error estimates for a class of evolutionary problems related to poroelastic media governed by the quasistatic linear Biot equations. The system is decoupled by employing ... 
On the unique continuation of solutions to nonlocal nonlinear dispersive equations
(Journal article; Peer reviewed, 2020)We prove unique continuation properties of solutions to a large class of nonlinear, nonlocal dispersive equations. The goal is to show that if u1,u2 are two suitable solutions of the equation defined in Rn×[0,T] such that ... 
A 3D1D coupled blood flow and oxygen transport model to generate microvascular networks
(Journal article; Peer reviewed, 2020)In this work, we introduce an algorithmic approach to generate microvascular networks starting from larger vessels that can be reconstructed without noticeable segmentation errors. Contrary to larger vessels, the reconstruction ... 
Cell identity and nucleomitochondrial genetic context modulate OXPHOS performance and determine somatic heteroplasmy dynamics
(Journal article; Peer reviewed, 2020)Heteroplasmy, multiple variants of mitochondrial DNA (mtDNA) in the same cytoplasm, may be naturally generated by mutations but is counteracted by a genetic mtDNA bottleneck during oocyte development. Engineered heteroplasmic ... 
Understanding learner behaviour in online courses with Bayesian modelling and time series characterisation
(Journal article; Peer reviewed, 2021)The intrinsic temporality of learning demands the adoption of methodologies capable of exploiting timeseries information. In this study we leverage the sequence data framework and show how datadriven analysis of temporal ...