A C project which can calculate the definite integral of real functions using Newton-Cotes quadrature formulas.
-
Updated
Aug 8, 2022 - C
A C project which can calculate the definite integral of real functions using Newton-Cotes quadrature formulas.
A repository containing python codes for the numerical methods I studied in Numerical Analysis course during Spring 2022 semester
Numerical Integration - Definite Integration
A Julia package to numerically approximate 1d function integrals using any of a variety of different methods.
This repository contains a collection of numerical methods implemented in C++ , Python programming languages, designed to solve mathematical problems such as root-finding, interpolation, integration, and differential equations
Here I tried to implement all the algorithm which I learn from my Numerical Analysis course.
A streamlit web app demsontrating numerical integration methods like Trapezoidal, Simpson's 1/3rd and Simpson's 3/8th rule.
Calculates the volume of fuel (oil & gas) between the 2 horizons and above the fluid contact.
Join me in discovering innovative solutions for mathematical challenges. From optimization to simulations, let's journey through the realm of algorithms together.
C Programming Solutions for Real Analysis and Numerical Analysis Problems
A comprehensive benchmark suite implementing parallel numerical integration via the Trapezoidal Rule across multi-core CPUs and NVIDIA GPUs. Explores POSIX Threads (static/dynamic queues, jump scheduling), OpenMP (work-sharing loop schedules, explicit tasking), and CUDA (registers, shared memory parallel tree reduction, warp divergence analysis).
a collection of numerical methods written in python language.
Cálculo do pi( Método Monte Carlo ) e integração da regra do trapezio utilizando MPI
Representation of the J0 and J1 Bessel functions using Fortran90 and gnuplot
This repository holds the assignments of SC302 - Parallel Processing And Grid Computing Lab of Masters' in Scientific Computing.
MATLAB function that performs numerical integration using Simpson's Rule where possible, and the Trapezoidal Rule otherwise
Numerical Methods Assignment: Implementation and analysis of Romberg Integration with comparison to Simpson’s and Trapezoidal rules, including error and convergence analysis.
Implementation of numerical analysis methods in Python including Bisection Method, Midpoint Approximation, Newton-Raphson Method, and Trapezoidal Rule using NumPy.
To associate your repository with the trapezoidal-rule topic, visit your repo's landing page and select "manage topics."