A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.
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Updated
May 22, 2024 - Julia
A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.
Second-order iterated smoothing algorithms for state estimation
This repo collects results of nonlinear optimization solvers on standard benchmark problems
C and Python examples from my book on using PETSc and Firedrake to solve PDEs
Métodos numéricos con python(Numpy, matplotlib, pandas)
Weber&Davis wind solution
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.
This repo contain implementation of Steepest Descent algorithm using inexact line search and Newton's method on Functions like Tried Function, Three Hump Camel, Styblinski-Tang Function, Rosenbrock Function, etc.
A WIP library for performing multi-root searching of one-dimensional transcendental equations using auto-differentiation in Rust
C++ implementation of the Newton method
This project was developed for the final examination of the course Optimal Control for the Master's degree in Automation Engineering at the University of Bologna.
Implementation and usage of numerical root-finding algorithms.
Exploring Chaos Theory and Nonlinear Equations via Graphical Interfaces
A library that provides routines to compute the solutions to systems of nonlinear equations.
PyTorch implementation of the Hessian-free optimizer
Tools for numerical analysis of ODE and PDE in python
Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)
Tutorials and exercises for learning to use FEniCS [Website under construction]
Realization of Newton's method in python
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