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Numerical Linear Algebra

Lloyd N. Trefethen, David Bau III

Numerical Linear Algebra - A book resource

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Numerical Recipes

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Learn numerical analysis fundamentals with MIT's Computational Science and Engineering I, taught by Gilbert Strang. Explore key concepts and applications.

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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

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Introduction to Numerical Analysis

Learn numerical methods for solving mathematical problems with this Introduction to Numerical Analysis course by Pereira & Silvester!

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