Creating an Model for Finding best Prediction
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Updated
Jun 3, 2017 - Jupyter Notebook
Creating an Model for Finding best Prediction
Project 1: Root Finding Methods
Implementation and usage of numerical root-finding algorithms.
First project for DisCont Mathematics 2 @ FER
Three body simulation in terminal.
Likelihood-ratio test for normally distributed populations with non-constant variance. Essentially a LRT equivalent to Welch's ANOVA. Documented in LaTeX, implemented in Python.
Métodos numéricos con python(Numpy, matplotlib, pandas)
This repository is focused in some mathematical modeling techniques, such as, such as Newton`s root method, Bolzano theorem and false-position algorithm.
Python program to approximate square roots using Newton's method
The Babylonian method for finding square roots by hand | Heron's method | Newton's method
These are some Python programs made to compute various Calculus problems. I wrote these as a fun personal challenge, suggested by my calculus teacher.
Numerical optimization library in C++.
Root-finding algorithms implementation. 2019
A WIP library for performing multi-root searching of one-dimensional transcendental equations using auto-differentiation in Rust
implementation of Algorithms on Arrays
Algorithm Of Convex Optimizer
Numerical Optimization library implementing Gradient Descent and Newton's method using backtracking line search for finding the minimum.
Simulate a multi-segment robotic arm.
Sample Convex Optimization using Gradient Descent, Newton's method and Coordinate Descent
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