A Finite Element Approximation of a Cahn--Hilliard Tumour Model with FEniCS, by Dennis Trautwein (2020).
-
Updated
Oct 11, 2020 - Python
A Finite Element Approximation of a Cahn--Hilliard Tumour Model with FEniCS, by Dennis Trautwein (2020).
Implementation and comparison of zero order vs first order method on the AdaMM (aka AMSGrad) optimizer: analysis of convergence rates and minima shape
Collection of methods for numerical analysis and scientific computing, including numerical root-finders, numerical integration, linear algebra, and data visualization. Created for APPM4600 at CU Boulder.
Chen, Z., Zhang, S., Doan, T. T., Clarke, J. P., & Maguluri, S. T. (2019). Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning.
Morozov discrepancy principle in statistical inverse problems with Poisson noise
Morozov discrepancy principle in statistical inverse problems with Poisson noise
Add a description, image, and links to the convergence-rate topic page so that developers can more easily learn about it.
To associate your repository with the convergence-rate topic, visit your repo's landing page and select "manage topics."