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SciComp Stack Exchange is a Stack Exchange Q&A site for scientific computing, covering numerical analysis, numerical linear algebra, simulations, and related computational methods. It contains questions, answers, and code examples spanning theory, algorithms, and practical implementation in languages such as Python, MATLAB, and C++.
More resources on Numerical Analysis
Numerical Recipes
Online companion to the book with code
Nick Higham's Blog
Practitioner insights on numerical analysis
MIT Numerical Computation Guide
Free online textbook and resources
Computational Science and Engineering I
Learn numerical analysis fundamentals with MIT's Computational Science and Engineering I, taught by Gilbert Strang. Explore key concepts and applications.
Numerical Methods for Engineers
This course covers the most important numerical methods that an engineer should know, including root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems, and access to MATLAB online and the MATLAB grader is given to all students who enroll. We assume students are already familiar with the basics of matrix algebra, differential equations, and vector calculus. They should have a working knowledge of a programming language, and be willing to learn MATLAB. The course contains 74 short lecture videos and MATLAB demonstrations. After each lecture or demonstration, there are problems to solve or programs to write. The course is organized into six weeks, and at the end of each week, there is an assessed quiz and a longer programming project. Download the lecture notes from the link https://www.math.hkust.edu.hk/~machas/numerical-methods-for-engineers.pdf And watch the promotional video from the link https://youtu.be/qFJGMBDfFMY
Introduction to Numerical Analysis
Learn numerical methods for solving mathematical problems with this Introduction to Numerical Analysis course by Pereira & Silvester!
