This site contains a collection of LaTeX cheatsheets, that resulted during my studies. Writing them unfortunately takes a lot of time s.t. they are by no means complete. But I am trying to extend them whenever I find some free time.
Basic Machine Learning cheatsheet covering model assessment and selection, information theory, regression, classification, parameter estimation, Bayesian Inference, Bayesian Neural Networks, Markov Chains,....
Topics in numerical methods for science and engineering, focusing on advanced numerical methods in fluid dynamics. PDEs and Weak Solutions, Finite Volume Methods (FVM), System of Conservation Laws, Non-linear System of Conservation Laws.
Cheatsheet about Linux in particular Arch Linux, as well as other tools such as Docker, pass, GNU Make, SSH
C++ cheat sheet about compiling, algorithms and data structures, Object Oriented Programming,...
Includes everything from Analysis to Linear Algebra
Everyday Git: branching and merging, rebasing, stashing, resolving conflicts, and the recovery commands worth knowing before you need them.
Software Design Patterns with Java
Statistical Physics & Computer Simulations. Principles and applications of statistical mechanics and equilibrium molecular dynamics. Monte Carlo simulation and stochastic dynamics.
