Siste publikasjoner

• Vinje, Vegard; Ringstad, Geir; Lindstrøm, Erika Kristina; Valnes, Lars Magnus; Rognes, Marie Elisabeth; Eide, Per Kristian & Mardal, Kent-Andre (2019). Respiratory influence on cerebrospinal fluid flow – a computational study based on long-term intracranial pressure measurements. Scientific Reports.  ISSN 2045-2322.  9 . doi: 10.1038/s41598-019-46055-5
• Sande, Espen; Manni, Carla & Speleers, Hendrik (2019). Sharp error estimates for spline approximation: Explicit constants, n -widths, and eigenfunction convergence. Mathematical Models and Methods in Applied Sciences.  ISSN 0218-2025.  29(6), s 1175- 1205 . doi: 10.1142/S0218202519500192
• Draouil, Olfa & Øksendal, Bernt (2019). Viable insider markets. Stochastics: An International Journal of Probability and Stochastic Processes.  ISSN 1744-2508. . doi: 10.1080/17442508.2019.1612895
• Grandelius, Erik & Karlsen, Kenneth Hvistendahl (2019). The cardiac bidomain model and homogenization. Networks and Heterogeneous Media.  ISSN 1556-1801.  14(1), s 173- 204 . doi: 10.3934/nhm.2019009
• Agram, Nacira (2019). Dynamic risk measure for BSVIE with jumps and semimartingale issues. Stochastic Analysis and Applications.  ISSN 0736-2994.  37(3), s 361- 376 . doi: 10.1080/07362994.2019.1569531
• Helland, Inge Svein (2019). Symmetry in a space of conceptual variables. Journal of Mathematical Physics.  ISSN 0022-2488.  60(5), s 1- 8 . doi: 10.1063/1.5082694
• Conrado, Ana Costa (2019). Modelling the radially polarised annular stator of a piezoelectric travelling wave ultrasonic motor based on the shear effect. Journal of Intelligent Materials Systems and Structures.  ISSN 1045-389X.  30(8), s 1225- 1238 . doi: 10.1177/1045389X19829833
• Buccino, Alessio Paolo; Kuchta, Miroslav; Jæger, Karoline Horgmo; Ness, Torbjørn V; Berthet, Pierre; Mardal, Kent-Andre; Cauwenberghs, Gert & Tveito, Aslak (2019). How does the presence of neural probes affect extracellular potentials?. Journal of Neural Engineering.  ISSN 1741-2560.  16(2) . doi: 10.1088/1741-2552/ab03a1
• Draouil, Olfa & Øksendal, Bernt (2019). A white noise approach to optimal insider control of systems with delay. Journal of Mathematical Analysis and Applications.  ISSN 0022-247X.  476(1), s 101- 119 . doi: 10.1016/j.jmaa.2019.02.065
• Köhler, Andreas; Pętlicki, Michal; Lefeuvre, Pierre-Marie; Buscaino, Giuseppa; Nuth, Christopher & Weidle, Christian (2019). Contribution of calving to frontal ablation quantified from seismic and hydroacoustic observations calibrated with lidar volume measurements. The Cryosphere Discussions.  ISSN 1994-0432.
• Holter, Karl Erik; Kuchta, Miroslav & Mardal, Kent-Andre (2019). Sub-voxel Perfusion Modeling in Terms of Coupled 3d-1d Problem. Lecture Notes in Computational Science and Engineering.  ISSN 1439-7358.  126, s 35- 47 . doi: 10.1007/978-3-319-96415-7_2
• Chinello, Gabriele; Ayati, Anis Awal; McGlinchey, Don; Ooms, Gorik & Henkes, Ruud (2019). Comparison of Computational Fluid Dynamics Simulations and Experiments for Stratified Air-Water Flows in Pipes. Journal of Fluids Engineering - Trancactions of The ASME.  ISSN 0098-2202.  141(5) . doi: 10.1115/1.4041667
• Brandsæter, Andreas; Vanem, Erik & Glad, Ingrid Kristine (2019). Efficient on-line anomaly detection for ship systems in operation. Expert systems with applications.  ISSN 0957-4174.  121, s 418- 437 . doi: 10.1016/j.eswa.2018.12.040
• Bryder, Rasmus Sylvester; Ivanov, Nikolay A. & Omland, Tron (2019). C*-simplicity of HNN extensions and groups acting on trees. Annales de l'Institut Fourier.  ISSN 0373-0956.
• Kaliszewski, S.; Omland, Tron & Quigg, John (2019). Rigidity theory for C*-dynamical systems and the "Pedersen rigidity problem", II. International Journal of Mathematics.  ISSN 0129-167X.
• Omland, Tron (2019). Free nilpotent groups are C*-superrigid. Proceedings of the American Mathematical Society.  ISSN 0002-9939.
• Gåsemyr, Jørund Inge & Scheel, Ida (2019). Alternatives to post-processing posterior predictive p-values. Scandinavian Journal of Statistics.  ISSN 0303-6898.  s 1- 22 . doi: 10.1111/sjos.12393
• Darian, Diako; Miloch, Wojciech Jacek; Mortensen, Mikael; Miyake, Yohei & Usui, Hideyuki (2019). Numerical simulations of a dust grain in a flowing magnetized plasma. Physics of Plasmas.  ISSN 1070-664X.  26(043701), s 1- 14 . doi: 10.1063/1.5089631
• Mossige, Endre Joachim; Edvardsen, Bente; Jensen, Atle & Mielnik, Michal Marek (2019). A tunable, microfluidic filter for clog‑free concentration and separation of complex algal cells. Microfluidics and Nanofluidics.  ISSN 1613-4982.  23(56) . doi: 10.1007/s10404-019-2209-y Vis sammendrag

  An inherent problem with microfluidic filters is the tendency to clog, especially when applied to cells due to their geometrical complexity, deformability, and tendency to adhere to surfaces. In this work, we handle live algal cells of high complexity without signs of clogging, achieved by exploiting hydrodynamic interactions around trilobite-shaped filtration units. To characterize the influence of cell complexity on the separation and concentration mechanisms, we compare the hydrodynamic interactions to those of synthetic, rigid microparticles. We discover that simple rolling along the filter structures, which prevents clogging for particles, cannot be applied to cells. Instead, we find that inertial effects must be employed to minimize the filter interactions and that this modification leads to only a minor reduction in device performance.

• Rabault, Jean; Kuchta, Miroslav; Jensen, Atle; Reglade, Ulysse & Cerardi, Nicolas (2019). Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control. Journal of Fluid Mechanics.  ISSN 0022-1120.  865, s 281- 302 . doi: 10.1017/jfm.2019.62 Fulltekst i vitenarkiv.
• Rabault, Jean; Sutherland, Graig; Jensen, Atle; Christensen, Kai Håkon & Marchenko, Aleksey (2019). Experiments on wave propagation in grease ice: combined wave gauges and particle image velocimetry measurements. Journal of Fluid Mechanics.  ISSN 0022-1120.  864, s 876- 898 . doi: 10.1017/jfm.2019.16 Fulltekst i vitenarkiv.
• Omland, Tron (2019). Dynamical systems and operator algebras associated to Artin's representation of braid groups. Journal of operator theory.  ISSN 0379-4024.
• Hofmanova, Martina; Leahy, James-Michael & Nilssen, Torstein Kastberg (2019). On the Navier–Stokes equation perturbed by rough transport noise. Journal of evolution equations (Printed ed.).  ISSN 1424-3199.  19(1), s 203- 247 . doi: 10.1007/s00028-018-0473-z
• Laca, Marcelo; Larsen, Nadia S. & Neshveyev, Sergey (2019). Ground states of groupoid C*-algebras, phase transitions and arithmetic subalgebras for Hecke algebras. Journal of Geometry and Physics.  ISSN 0393-0440.  136, s 268- 283 . doi: 10.1016/j.geomphys.2018.09.018
• Agram, Nacira; Øksendal, Bernt & Yakhlef, Samia (2019). New approach to optimal control of stochastic Volterra integral equations. Stochastics: An International Journal of Probability and Stochastic Processes.  ISSN 1744-2508.
• Agram, Nacira; Bachouch, Achref; Øksendal, Bernt & Proske, Frank Norbert (2019). Singular control and optimal stopping of memory mean-field processes. SIAM Journal on Mathematical Analysis.  ISSN 0036-1410.  51(1), s 450- 468
• Erhardt, André Henrik (2019). Early afterdepolarisations induced by an enhancement in the calcium current. Processes.  ISSN 2227-9717.  7(1), s 1- 16 . doi: 10.3390/pr7010020
• Banos, David; Cordoni, Francesco; Di Nunno, Giulia; Di Persio, Luca & Røse, Elin Engen (2019). Stochastic systems with memory and jumps. Journal of Differential Equations.  ISSN 0022-0396.  266(9), s 5772- 5820 . doi: http://dx.doi.org/10.1016/j.jde.2018.10.052 Fulltekst i vitenarkiv.
• Vollestad, Petter; Ayati, Anis Awal; Angheluta, Luiza; Lacasce, Joseph Henry & Jensen, Atle (2019). Experimental investigation of airflow above waves in a horizontal pipe. International Journal of Multiphase Flow.  ISSN 0301-9322.  110, s 37- 49 . doi: 10.1016/j.ijmultiphaseflow.2018.08.008
• Shaw, Kristin & Kummer, Mario (2019). The separating semigroup of a real curve. Annales de la Faculté des Sciences de Toulouse.  ISSN 0240-2963.
• Hu, Kaibo & Xu, Jinchao (2019). Structure-preserving finite element methods for stationary MHD models. Mathematics of Computation.  ISSN 0025-5718.  88(316), s 553- 581 . doi: 10.1090/mcom/3341
• Agram, Nacira & Øksendal, Bernt (2019). Model uncertainty stochastic mean-field control. Stochastic Analysis and Applications.  ISSN 0736-2994.  s 1- 21 . doi: 10.1080/07362994.2018.1499036
• Christophersen, Jan Arthur & Kleppe, Jan Oddvar (2019). Comparison theorems for deformation functors via invariant theory. Collectanea Mathematica.  ISSN 0010-0757.  70(1), s 1- 32 . doi: 10.1007/s13348-018-0232-z
• Floater, Michael S. & Sande, Espen (2019). Optimal spline spaces for L2 n-width problems with boundary conditions. Constructive approximation.  ISSN 0176-4276.  s 1- 18 . doi: 10.1007/s00365-018-9427-5 Fulltekst i vitenarkiv.
• Iliev, Atanas; Kapustka, Grzegorz; Kapustka, Michal & Ranestad, Kristian (2019). EPW Cubes. Journal für die Reine und Angewandte Mathematik.  ISSN 0075-4102.  2019(748), s 241- 268 . doi: 10.1515/crelle-2016-0044 Fulltekst i vitenarkiv.
• Vanem, Erik & Brandsæter, Andreas (2018). Cluster-Based Anomaly Detection in Condition Monitoring of a Marine Engine System, In  Proceedings of the 2018 Prognostics and System Health Management Conference (PHM-Chongqing 2018).  IEEE.  ISBN 978-1-5386-5380-7.  paper.  s 20 - 31
• Hiltebrand, Andreas & Mishra, Siddhartha (2018). Efficient computation of all speed flows using an entropy stable shock-capturing space-time discontinuous Galerkin method, In  Non-linear Partial Differential Equations, Mathematical Physics, and Stochastic Analysis: The Helge Holden Anniversary Volume.  European Mathematical Society Publishing House.  ISBN 978-3-03719-186-6.  kapittel.  s 287 - 318
• Benth, Fred Espen & Suss, Andre (2018). Continuous-Time Autoregressive Moving-Average Processes in Hilbert Space, In Elena Celledoni; Giulia Di Nunno; Kurusch Ebrahimi-Fard & Hans Munthe-Kaas (ed.),  Computation and Combinatorics in Dynamics, Stochastics and Control.  Springer.  ISBN 978-3-030-01592-3.  kapittel 11.  s 297 - 320
• Kiran, Pallavi; Bhatia, Sumati; Lauster, Daniel; Aleksić, Stevan; Fleck, Carsten; Peric, Natalija; Maison, Wolfgang; Liese, Susanne; Keller, Bettina G.; Herrmann, Andreas & Haag, Rainer (2018). Exploring rigid and flexible core trivalent sialosides for influenza virus inhibition. Chemistry - A European Journal.  ISSN 0947-6539.  24(72), s 19373- 19385 . doi: 10.1002/chem.201804826
• Neshveyev, Sergey & Yamashita, Makoto (2018). Categorically Morita Equivalent Compact Quantum Groups. Documenta Mathematica.  ISSN 1431-0643.  23, s 2165- 2216 . doi: 10.25537/dm.2018v23.2165-2216
• Baños, David; Di Nunno, Giulia; Haferkorn, Hannes Hagen & Proske, Frank Norbert (2018). Stochastic functional differential equations and sensitivity to their initial path, In Elena Celledoni; Giulia Di Nunno; Kurusch Ebrahimi-Fard & Hans Munthe-Kaas (ed.),  Computation and Combinatorics in Dynamics, Stochastics and Control.  Springer.  ISBN 978-3-030-01592-3.  2.  s 37 - 70
• Laudal, Olav Arnfinn (2018). Noncommutative deformations of thick points. The Journal of Singularities.  ISSN 1949-2006.  18, s 427- 439 . doi: 10.5427/jsing.2018.18v
• Valen-Sendstad, Kristian; Bergersen, Aslak Wigdahl; Shimogonya, Yuji; Goubergrits, Leonid; Bruening, Jan; Pallares, Jordi; Cito, Salvatore; Piskin, Senol; Pekkan, Kerem; Geers, Arjan J.; Larrabide, Ignacio; Rapaka, Saikiran; Mihalef, Viorel; Fu, Wenyu; Qiao, Aike; Jain, Kartik; Roller, Sabine; Mardal, Kent-Andre; Kamakoti, Ramji; Spirka, Thomas; Ashton, Neil; Revell, Alistair; Aristokleous, Nicolas; Houston, J. Graeme; Tsuji, Masanori; Ishida, Fujimaro; Menon, Prahlad G.; Browne, Leonard D.; Broderick, Stephen; Shojima, Masaaki; Koizumi, Satoshi; Barbour, Michael; Aliseda, Alberto; Morales, Hernan G.; Lefèvre, Thierry; Hodis, Simona; Al-Smadi, Yahia M.; Tran, Justin S.; Marsden, Alison L.; Vaippummadhom, Sreeja; Einstein, G. Albert; Brown, Alistair G.; Debus, Kristian; Niizuma, Kuniyasu; Rashad, Sherif; Sugiyama, Shin-ichiro; Khan, M. Owais; Updegrove, Adam R.; Shadden, Shawn C.; Cornelissen, Bart M.W.; Majoie, Charles B.L.M.; Berg, Philipp; Saalfield, Sylvia; Kono, Kenichi & Steinman, David A. (2018). Real-world variability in the prediction of intracranial aneurysm wall shear stress: The 2015 international aneurysm CFD challenge. Cardiovascular Engineering and Technology.  ISSN 1869-4098.  9(4), s 544- 564 . doi: 10.1007/s13239-018-00374-2
• Ibrahim, Noor Adilah (2018). Statistical analysis of photovoltaic and wind power generation. Journal of Energy Markets.  ISSN 1756-3615.  11(3), s 43- 69 . doi: 10.21314/JEM.2018.178
• Gomes Marques, Reinaldo Antonio; da Silva, W.; Hoffmann, R.; Dutra, J. & Coral, Fredy (2018). Sequential state inference of engineering systems through the particle move-reweighting algorithm. Computational and Applied Mathemathics.  ISSN 2238-3603.  37, s 220- 236 . doi: 10.1007/s40314-017-0506-1
• Bressan, Andrea & Juttler, Bert (2018). Inf-sup stability of isogeometric Taylor-Hood and Sub-Grid methods for the Stokes problem with hierarchical splines. IMA Journal of Numerical Analysis.  ISSN 0272-4979.  38(2), s 955- 975 . doi: 10.1093/imanum/drx031
• Neshveyev, Sergey & Yamashita, Makoto (2018). A Few Remarks on the Tube Algebra of a Monoidal Category. Proceedings of the Edinburgh Mathematical Society.  ISSN 0013-0915.  61(3), s 735- 758 . doi: 10.1017/S0013091517000426
• Kwasniewski, Bartosz K. & Larsen, Nadia S. (2018). Nica–Toeplitz algebras associated with product systems over right LCM semigroups. Journal of Mathematical Analysis and Applications.  ISSN 0022-247X.  470(1), s 532- 570 . doi: 10.1016/j.jmaa.2018.10.020
• Lamorgese, Leonardo Cameron; Mannino, Carlo; Pacciarelli, Dario & Krasemann, Johanna Törnquist (2018). Train Dispatching, In Ralf Borndörfer; Torsten Klug; Leonardo Lamorgese; Carlo Mannino; Markus Reuther & Thomas Schlechte (ed.),  Handbook of optimization in the railway industry.  Springer.  ISBN 978-3-319-72153-8.  artikkel.  s 265 - 283 Fulltekst i vitenarkiv. Vis sammendrag

  Train rescheduling problems have received significant attention in the operations research community during the past 20–30 years. These are complex problems with many aspects and constraints to consider. This chapter defines the problem and summarizes the variety of model types and solution approaches developed over the years, in order to address and solve the train dispatching problem from the infrastructure manager perspective. Despite all the research efforts, it is, however, only very recently that the railway industry has made significant attempts to explore the large potential in using optimization-based decision-support to facilitate railway traffic disturbance management. This chapter reviews state-of-practice and provides a discussion about the observed slow progress in the application of optimization-based methods in practice. A few successful implementations have been identified, but their performance as well as the lessons learned from the development and implementation of those system are unfortunately only partly available to the research community, or potential industry users

• Biagini, Francesca; Meyer-Brandis, Thilo; Øksendal, Bernt & Paczka, Krzysztof Jaroslaw (2018). Optimal control with delayed information flow of systems driven by G-Brownian motion. Probability, Uncertainty and Quantitative Risk.  ISSN 2367-0126.
• Agrell, Christian; Eldevik, Simen; Hafver, Andreas; Pedersen, Frank Børre; Stensrud, Erik & Huseby, Arne (2018). Pitfalls of machine learning for tail events in high risk environments, In Stein Haugen; Anne Barros; Coen van Gulijk; Trond Kongsvik & Jan Erik Vinnem (ed.),  Safety and Reliability – Safe Societies in a Changing World. Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway.  CRC Press.  ISBN 9781351174657.  285.  s 3043 - 3051 Vis sammendrag

  Most of today’s Machine Learning (ML) methods and implementations are based on correlations, in the sense of a statistical relationship between a set of inputs and the output(s) under inves- tigation. The relationship might be obscure to the human mind, but through the use of ML, mathematics and statistics makes it seemingly apparent. However, to base safety critical decisions on such methods suffer from the same pitfalls as decisions based on any other correlation metric that disregards causality. Causality is key to ensure that applied mitigation tactics will actually affect the outcome in the desired way. This paper reviews the current situation and challenges of applying ML in high risk environments. It further outlines how phenomenological knowledge, together with an uncertainty-based risk perspective can be incorporated to alleviate the missing causality considerations in current practice.

• Bedos, Erik Christopher; Kaliszewski, Steve; Quigg, John & Spielberg, Jack (2018). On finitely aligned left cancellative categories, Zappa-Szép products and Exel-Pardo algebras. Theory and Applications of Categories.  ISSN 1201-561X.  33(42), s 1346- 1406
• Helmer, Martin & Nødland, Bernt Ivar Utstøl (2018). Polar degrees and closest points in codimension two. Journal of Algebra and its Applications.  ISSN 0219-4988. . doi: 10.1142/S0219498819500956 Vis sammendrag

  Suppose that X_ A⊂P^n−1 is a toric variety of codimension two defined by an (n−2)×n integer matrix A, and let B be a Gale dual of A. In this paper, we compute the Euclidean distance degree and polar degrees of XA (along with other associated invariants) combinatorially working from the matrix B. Our approach allows for the consideration of examples that would be impractical using algebraic or geometric methods. It also yields considerably simpler computational formulas for these invariants, allowing much larger examples to be computed much more quickly than the analogous combinatorial methods using the matrix A in the codimension two case.

• Sørensen, Øystein; Hellton, Kristoffer Herland; Frigessi Di Rattalma, Arnoldo & Thoresen, Magne (2018). Covariate Selection in High-Dimensional Generalized Linear Models With Measurement Error. Journal of Computational And Graphical Statistics.  ISSN 1061-8600.  27(4), s 739- 749 . doi: 10.1080/10618600.2018.1425626 Vis sammendrag

  In many problems involving generalized linear models, the covariates are subject to measurement error. When the number of covariates p exceeds the sample size n, regularized methods like the lasso or Dantzig selector are required. Several recent papers have studied methods which correct for measurement error in the lasso or Dantzig selector for linear models in the p > n setting. We study a correction for generalized linear models, based on Rosenbaum and Tsybakov’s matrix uncertainty selector. By not requiring an estimate of the measurement error covariance matrix, this generalized matrix uncertainty selector has a great practical advantage in problems involving high-dimensional data. We further derive an alternative method based on the lasso, and develop efficient algorithms for both methods. In our simulation studies of logistic and Poisson regression with measurement error, the proposed methods outperform the standard lasso and Dantzig selector with respect to covariate selection, by reducing the number of false positives considerably. We also consider classification of patients on the basis of gene expression data with noisy measurements. Supplementary materials for this article are available online.

• Kaliszewski, S; Larsen, Nadia S. & Quigg, John (2018). Subgroup Correspondences. Proceedings of the Edinburgh Mathematical Society.  ISSN 0013-0915.  61(4), s 1127- 1154 . doi: 10.1017/S0013091518000317
• Mannino, Carlo; Nakkerud, Andreas; Sartor, Giorgio & Schittekat, Patrick (2018). Hotspot Resolution with Sliding Window Capacity Constraints using the Path&Cycle Algorithm. SESAR Innovation Days.  ISSN 0770-1268. Fulltekst i vitenarkiv. Vis sammendrag

  We extend the new, efficient Path&Cycle formulation for the Hotspot Problem with two methods for dealing with windowed capacity constraints. We also discuss how to combine constraints to allow two-level capacity restricions for peak and average load respectively. Finally, we present computational results for the sliding window capacity constraint.

• Frauendiener, Jörg (2018). Conformal Infinity – Development and Applications, In David E. Rowe; Scott A. Walter & Tilman Sauer (ed.),  Beyond Einstein.  Springer Science+Business Media B.V..  ISBN 978-1-4939-7706-2.  Kapittel 16.  s 451 - 473
• Normann, Dag & Sanders, Sam (2018). On the mathematical and foundational significance of the uncountable. Journal of Mathematical Logic.  ISSN 0219-0613.  18(2) . doi: 10.1142/S0219061319500016
• Bauer, Martin; Meyer-Brandis, Thilo & Proske, Frank Norbert (2018). Strong solutions of mean-field stochastic differential equations with irregular drift. Electronic Journal of Probability.  ISSN 1083-6489.  23(132), s 1- 35 . doi: 10.1214/18-EJP259
• Kügler, Philipp; Erhardt, André Henrik & Bulelzai, Mak (2018). Early afterdepolarizations in cardiac action potentials as mixed mode oscillations due to a folded node singularity. PLoS ONE.  ISSN 1932-6203.  13(12), s 1- 22 . doi: 10.1371/journal.pone.0209498
• Hubin, Aliaksandr; Storvik, Geir Olve & Frommlet, Florian (2018). A Novel Algorithmic Approach to Bayesian Logic Regression. Bayesian Analysis.  ISSN 1936-0975. . doi: 10.1214/18-BA1141 Vis sammendrag

  Logic regression was developed more than a decade ago as a tool to construct predictors from Boolean combinations of binary covariates. It has been mainly used to model epistatic effects in genetic association studies, which is very appealing due to the intuitive interpretation of logic expressions to describe the interaction between genetic variations. Nevertheless logic regression has (partly due to computational challenges) remained less well known than other approaches to epistatic association mapping. Here we will adapt an advanced evolutionary algorithm called GMJMCMC (Genetically modified Mode Jumping Markov Chain Monte Carlo) to perform Bayesian model selection in the space of logic regression models. After describing the algorithmic details of GMJMCMC we perform a comprehensive simulation study that illustrates its performance given logic regression terms of various complexity. Specifically GMJMCMC is shown to be able to identify three-way and even four-way interactions with relatively large power, a level of complexity which has not been achieved by previous implementations of logic regression. We apply GMJMCMC to reanalyze QTL (quantitative trait locus) mapping data for Recombinant Inbred Lines in Arabidopsis thaliana and from a backcross population in Drosophila where we identify several interesting epistatic effects. The method is implemented in an R package which is available on github.

• Kanduc, Matej; Eixeres, Laila; Liese, Susanne & Netz, Roland R. (2018). Generalized line tension of water nanodroplets. Physical review. E.  ISSN 2470-0045.  98(3) . doi: 10.1103/PhysRevE.98.032804
• Maclagan, Diane & Rincon, Felipe (2018). Tropical ideals. Compositio Mathematica.  ISSN 0010-437X.  154(3), s 640- 670 . doi: 10.1112/S0010437X17008004
• Biagini, Francesca; Mazzon, Andrea & Meyer-Brandis, Thilo (2018). Liquidity induced asset bubbles via flows of ELMMs. SIAM Journal on Financial Mathematics.  ISSN 1945-497X.  9(2), s 800- 834 . doi: 10.1137/16M1107097
• Fornæss, John Erik & Wold, Erlend Fornæss (2018). A non-strictly pseudoconvex domain for which the squeezing function tends to 1 towards the boundary. Pacific Journal of Mathematics.  ISSN 0030-8730.  297(1), s 79- 86 . doi: 10.2140/pjm.2018.297.79 Fulltekst i vitenarkiv.
• Jahren, Bjørn & Kwasik, Slawomir (2018). Whitehead torsion of inertial h-cobordisms. Topology and its Applications.  ISSN 0166-8641.  249, s 150- 159 . doi: 10.1016/j.topol.2018.09.013 Fulltekst i vitenarkiv.
• Verschaeve, Joris C. G.; Pedersen, Geir Kleivstul & Tropea, Cameron (2018). Non-modal stability analysis of the boundary layer under solitary waves. Journal of Fluid Mechanics.  ISSN 0022-1120.  836, s 740- 772 . doi: 10.1017/jfm.2017.825

Se alle arbeider i Cristin

• Palma, Rui Miguel Coutinho (2018). Crossed products by Hecke Pairs. American Mathematical Society (AMS).  ISBN 9781470428099.  138 s. Fulltekst i vitenarkiv.
• Helland, Inge Svein (2018). Epistemic Processes. A Basis for Statistics and Quantum Theory. Springer Nature.  ISBN 978-3-319-95067-9.  170 s.

Se alle arbeider i Cristin

• Dahl, Geir; Brualdi, R.A.; Guterman, Alexander & Shteyner, Pavel (2019). Matrix covering problems.
• Løw, Erik; Kutzschebauch, Frank & Ivarsson, Björn (2019). Factorization of symplectic matrices.
• Løw, Erik; Kutzschebauch, Frank & Ivarsson, Björn (2019). The Vaserstein problem for continuous and holomorphic symplectic matrices..
• Løw, Erik; Kutzebauch, Frank & Ivarsson, Björn (2019). Factorization of symplectic matrices into elementary factors.
• Ranestad, Kristian (2019). Divisors in the moduli space of cubic fourfolds.
• Lindstrøm, Tom Louis (2019). Komplekse tall.
• Normann, Dag (2019). The Computational Complexity of the Heine Borel Theorem.
• Andrade, Enide; Dahl, Geir; Leal, Laura & Robbiano, Maria (2019). New bounds for the signless Laplacian spread.
• Brualdi, R.A. & Dahl, Geir (2019). Matrix covering and A-interval matrices.
• Ranestad, Kristian (2019). Projective geometry of Wachspress coordinates.
• Ranestad, Kristian (2019). Projective geometry of Wachspress coordinates.
• Ranestad, Kristian (2019). Brukerkurs og nye undervisningsformer.
• Ranestad, Kristian (2019). Bruker kurs og nye undervisningsformer.
• Lindstrøm, Tom Louis (2019). Veien mot nye læreplaner.
• Lindstrøm, Tom Louis (2019). Hva er dimensjon?.
• Vanem, Erik & Brandsæter, Andreas (2019). Statistical approaches to Anomaly Detection based on Real-Time Sensor Measurements.
• Lindstrøm, Tom Louis (2019). Kjerneelementer, dybdelæring, programmering and all that..
• Köhler, Andreas; Lefeuvre, Pierre-Marie; Nuth, Christopher; Schweitzer, Johannes; Buscaino, Giuseppa; Weidle, Christian; Kohler, J; Berthier, E & Petlicki, m (2018). Monitoring and quantification of frontal ablation at Kronebreen, Svalbard, using records of seismic calving signals. Geophysical Research Abstracts.  ISSN 1029-7006.
• Köhler, Andreas; Buscaino, Giuseppa; Lefeuvre, Pierre-Marie; Maupin, Valerie; Nuth, Christopher; Petlicki, Michal; Schweitzer, Johannes & Weidle, Christian (2018). Studying and quantifying glacier dynamics in Svalbard using cryoseismology.
• Schweitzer, Johannes; Köhler, Andreas & Weidle, Christian (2018). Regional Seismicity observed with two temporary seismic arrays in Kongsfjorden, Svalbard.
• Köhler, Andreas; Buscaino, Giuseppa; Lefeuvre, Pierre-Marie; Maupin, Valerie; Nuth, Christopher; Petlicki, Michal & Schweitzer, Johannes (2018). Seismic monitoring of glaciers and permafrost: What micro-seismicity and ambient noise can tell us about cryospheric processes in Svalbard.
• Li, Xin; Omland, Tron & Spielberg, Jack (2018). C*-algebras of right LCM one-relator monoids and Artin-Tits monoids of finite type.
• Nuth, Christopher; Kohler, Jack; Köhler, Andreas; Lefeuvre, Pierre-Marie; Schuler, Thomas; Van Pelt, Ward; Schellenberger, Thomas; Kääb, Andreas; Deschamps-Berger, Cesar; Berthier, Etienne; Lauknes, Tom Rune; Strozzi, Tazio & Petlicki, Michal (2018). The different dynamic personalities of two neighboring tidewater glaciers.
• Øksendal, Bernt (2018). SPDEs with space - mean dynamics.
• Øksendal, Bernt (2018). Introduction to Stochastic Control and applications.
• Øksendal, Bernt (2018). Optimal control of stochastic Volterra equations.
• Øksendal, Bernt (2018). Optimal control of mean-field stochastic differential equations.
• Øksendal, Bernt (2018). Introduction to Stochastic Control with Applications.
• Øksendal, Bernt (2018). An Introduction to Stochastic Control, with Applications to Mathematical Finance.
• Eide, Per Kristian; Sorteberg, Angelika; Sorteberg, Wilhelm; Lindstrøm, Erika Kristina; Mardal, Kent-Andre & Ringstad, Geir (2018). "Bucket" cerebrospinal fluid bulk flow: when the terrain disagrees with the map. Acta Neurochirurgica.  ISSN 0001-6268.  161(2), s 259- 261 . doi: 10.1007/s00701-018-3775-6
• Lindstrøm, Tom Louis (2018). Dybdelæring.

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