springer-math / Numerical_Linear_Algebra_Theory_and_Applications
MATLAB codes accompanying "Numerical Linear Algebra Theory" by Larisa Beilina, Evgenii Karchevskii, and Mikhail Karchevskii
☆13Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for Numerical_Linear_Algebra_Theory_and_Applications
- Chebfun examples collection☆67Updated last year
- Program files from MATLAB Guide, Third Edition☆29Updated 7 years ago
- Harvard AM205: group activity files☆14Updated 3 years ago
- Methods in numerical analysis. Includes: Lagrange interpolation, Chebyshev polynomials for optimal node spacing, iterative techniques to …☆44Updated 6 years ago
- Numfocus Google Summer of Code Materials☆13Updated 9 months ago
- Fast linear algebra in MATLAB☆63Updated last year
- Notebooks and documents to build Computational Mechanics course☆46Updated last month
- EigTool is open MATLAB software for analyzing eigenvalues, pseudospectra, and related spectral properties of matrices.☆48Updated 9 years ago
- IPython notebooks with supplementary material to accompany the textbook by Trefethen & Bau.☆29Updated 5 years ago
- ☆17Updated 3 years ago
- Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations☆99Updated 4 years ago
- Course material for Cornell CS 6210 for Fall 2019☆25Updated 4 years ago
- Harvard Applied Math 205: Code Examples☆79Updated 2 years ago
- The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN☆65Updated 2 weeks ago
- Coding numerical methods using ChatGPT: successes, failures, and challenges☆18Updated last year
- Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise☆21Updated 7 years ago
- Note of Youtube lecture, "2017 Numerical methods of PDE", given by Qiqi Wang☆13Updated 6 years ago
- Anderson Acceleration☆19Updated 2 years ago
- Collection of lectures, courses and books for hydrodynamic, computational physics and programming☆13Updated 3 years ago
- This is a replication of "CFD Python: 12 steps to Navier-Stokes" in Julia☆39Updated 7 years ago
- Software libraries that implement hierarchical matrices☆55Updated 7 months ago
- Deep Learning application to the partial differential equations☆29Updated 6 years ago
- This is a course material for numerical optimization to be taught in summer 2020☆38Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆66Updated 4 years ago
- Material for a course on finite difference methods for differential equations.☆50Updated 10 years ago
- Newer Matlab Implementation of Machine Learning Control☆14Updated last year
- Math 228A 2019 Fall☆16Updated 4 years ago
- ☆110Updated 3 years ago
- Teach numerical methods for interpolation, differentiation, integration, and solving ODEs and PDEs with MATLAB.☆30Updated last week
- MATLAB code for Numerical Methods for Deep Learning class☆16Updated 5 years ago