arkabokshi / asymptotics-perturbation-methodsLinks
☆42Updated 4 years ago
Alternatives and similar repositories for asymptotics-perturbation-methods
Users that are interested in asymptotics-perturbation-methods are comparing it to the libraries listed below
Sorting:
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆189Updated last year
- ☆36Updated 2 years ago
- Lecture notes for M3M6 Methods of Mathematical Physics☆44Updated 5 years ago
- Gaussian Process Regression Interactive Javascript Demo☆57Updated 7 years ago
- 18.303 - Linear PDEs course☆147Updated 2 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆172Updated 4 months ago
- Experiments with variational autoencoders in Julia☆17Updated 6 years ago
- PseudoPy computes and visualizes the pseudospectrum of a matrix☆28Updated 7 years ago
- The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN☆72Updated last week
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆107Updated 2 years ago
- Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.☆110Updated last year
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Julia code for the book Numerical Linear Algebra☆127Updated 2 years ago
- Lecture slides and homework assignments for MA5233 Computational Mathematics at the National University of Singapore.☆38Updated 5 years ago
- Jupyter notebooks and documentation for SageManifolds☆53Updated last week
- Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining…☆14Updated 3 years ago
- Python package for computing and visualizing Lagrangian Descriptors in Dynamical Systems☆22Updated 4 years ago
- ☆67Updated 6 years ago
- Bayesian inference for a logistic regression model in various languages☆43Updated 2 years ago
- Why multiple dispatch lets you write composable code☆40Updated 5 years ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆130Updated 3 weeks ago
- A framework for composing and simulating multiphysics systems☆79Updated last week
- Start solving PDEs in Julia with Gridap.jl☆139Updated 3 weeks ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- A Julia package for computing discrete eigenvalues of second order ODEs☆33Updated 2 years ago
- Orbital dynamics and waveforms for binary black-hole systems, in the post-Newtonian approximation☆16Updated 3 weeks ago
- Lecture notes and course material for M3M6 Applied Complex Analysis at Imperial College☆37Updated 5 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated last month
- SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance☆25Updated last week