Implementation of well-known numerical methods.

A repository containing python codes for the numerical methods I studied in Numerical Analysis course during Spring 2022 semester

Contains sample implementations in python of the following numerical methods: Euler's Method, Midpoint Euler's Method, Runge Kuttta Method of Order 4, and Composite Simpson's Rule

Numerical Integration - Definite Integration

a collection of numerical methods written in python language.

Response to General Dynamic Loading : Superposition Methods. Numerical Duhamel Integral analysis with and without Damping by Simpson's rule. Solution to calculate Table E6_1 Dynamics of Structures

Program which calculates integrals using Simpson's and trapezoidal rules, while visualizing parameter-dependent graphs with Python.

Engenharia de Software 02 (UTFPR)

This repository contains a Python implementation of Simpson’s 3/8 Rule for numerical integration. The code computes the integral of the function \( F(x) = x^2 + 5x - 9 \) over a specified interval using Simpson's 3/8 Rule.

Numerically approximates the definite integral of a user-specified function over a given range. It supports three widely-used numerical integration methods: Composite Simpson’s Rule, Composite Trapezoidal Rule, and Composite Midpoint Rule.

Lab questions solved using Python programming language.

Numerical methods made with Python

Make use of Midpoint rule, Trapezoid rule and Simpson's rule to approximate an integral

This repository contains a Python implementation of Simpson's 1/3 Rule for numerical integration. The code estimates the integral of a given function \( f(x) \) within specified limits using Simpson's 1/3 Rule, a method for approximating the definite integral of a function.