3 citations · 4 across the 5 of their papers we have counts for
5 papers
Prediction of Retention Time in Larger Antisense Oligonucleotide Datasets using Machine Learning
Manal Rahal, Bestoun S. Ahmed, Christoph A. Bauer +2
Antisense oligonucleotides (ASOs) are nucleic acid molecules with transformative therapeutic potential, especially for diseases that are untreatable by traditional drugs. However,…
Boundary-preserving Lamperti-splitting schemes for some Stochastic Differential Equations
Johan Ulander
We propose and analyse boundary-preserving schemes for the strong approximations of some scalar SDEs with non-globally Lipschitz drift and diffusion coefficients whose state-space…
Positivity-preserving schemes for some nonlinear stochastic PDEs
Charles-Edouard Bréhier, David Cohen, Johan Ulander
We introduce a positivity-preserving numerical scheme for a class of nonlinear stochastic heat equations driven by a purely time-dependent Brownian motion. The construction is insp…
Analysis of a positivity-preserving splitting scheme for some nonlinear stochastic heat equations
Charles-Edouard Bréhier, David Cohen, Johan Ulander
We construct a positivity-preserving Lie--Trotter splitting scheme with finite difference discretization in space for approximating the solutions to a class of nonlinear stochastic…
Low rank tensor approximation of singularly perturbed partial differential equations in one dimension
Carlo Marcati, Maxim Rakhuba, Johan E. M. Ulander
We derive rank bounds on the quantized tensor train (QTT) compressed approximation of singularly perturbed reaction diffusion partial differential equations (PDEs) in one dimension…