Online learning methods for sequentially arriving data are growing in popularity. Alternative batch learning methods scale poorly and have memory constraints. The scope of this thesis is to study online learning methods ...

We construct a generalization of the Day convolution tensor product of presheaves that works for certain double \infty -categories. Using this construction, we obtain an \infty -categorical version of the well-known ...

In this paper we analyze operator splitting for the Benjamin–Ono equation, ut=uux+Huxx, where H denotes the Hilbert transform. If the initial data are sufficiently regular, we show the convergence of both Godunov and Strang ...

This paper is based on data from two teaching sequences in primary school that are designed using principles from the theory of didactical situations (TDS). The following research question is addressed: “What opportunities ...

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 ...

This thesis starts by giving a general introduction to hydrocarbon reservoirs, before physical relations and mathematical tools used to model the flow of the fluid components in the porous media are presented. The resulting ...

We study an inverse problem where an unknown radiating source is observed with collimated detectors along a single line and the medium has a known attenuation. The research is motivated by applications in SPECT and beam ...

The paper studies a class of variational problems, modeling optimal shapes for tree roots. Given a measure μ describing the distribution of root hair cells, we seek to maximize a harvest functional H , computing the ...

Isogeometric analysis with full quadrature yields optimal convergence rates but require higher computational cost than necessary for splines of maximal continuity. In this thesis two such methods, the weak variational ...