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.
Códigos en Python del libro "Pythonizando los números - Métodos numéricos para ingenieros"
This repository includes all experiments, visualizations, and numerical estimations of lower bounds described in the paper, with applications to synthetic setups, linear models, and deep learning tasks (MNIST, CIFAR-100)
Morozov discrepancy principle in statistical inverse problems with Poisson noise
Morozov discrepancy principle in statistical inverse problems with Poisson noise
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