Now showing items 11-20 of 392
Scene Reconstruction Using Level Sets and Graph Cuts
(The University of Bergen, 2009-07-17)
Chain Ladder Metoden og Mack's Modell sammenlignet med andre Poissonbaserte modeller
(The University of Bergen, 2010-05-30)
Ønsker å se på reservering til fremtidige krav. Vil først og fremst se på Chain Ladder metoden og Mack sin modell. Vil så forsøke å simulere data etter en modell som passer med Mack sine tre antakelser, den sammensatte ...
Detecting Periodic Elements in Higher Topological Hochschild Homology
(The University of Bergen, 2013-08-20)
Optimisation of Production From an Oil-Reservoir Using Augmented Lagrangian Methods
(The University of Bergen, 2008-02-18)
This work studies the use of augmented Lagrangian methods for water flooding production optimisation from an oil reservoir. Commonly, water flooding is used as a means to enhance oil recovery, and due to heterogeneous ...
Investigations of the Modified Navier-Stokes Equations in One Dimension
(The University of Bergen, 2014-06-02)
In this thesis we have investigated the Brenner-Navier-Stoke equations in one spatial dimension. These are a modified version of the Navier-Stokes equations, where the modification relates to a mass diffusion term. This ...
On flow properties of surface waves described by model equations of Boussinesq type
(The University of Bergen, 2012-03-23)
Reconstructing Open Surfaces via Graph-Cuts
(The authors, 2011)
A novel graph-cuts-basedmethod is proposed for reconstructing open surfaces from unordered point sets. Through a boolean operation on the crust around the data set, the open surface problem is translated to a watertight ...
Some new constructions of asymptotically good code sequences
(The University of Bergen, 2006)
Optimization of CO2 Geological Storage Cost
(The University of Bergen, 2013-12-01)
Carbon dioxide capture and storage (CCS) is a promising strategy to battle the climate change by injecting large-scale of carbon dioxide back to underground formations and storing the carbon dioxide possibly permanently. ...