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

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.

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

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

Engenharia de Software 02 (UTFPR)

Lab questions solved using Python programming language.

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.

Numerical methods made with Python

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.