Numerical Analysis Online Course

A Newton fractal showing the basins of attraction for Newton iterations for 6th-roots of unity from different founding points in the complicated plane. (Image by Prof. Steven G. Johnchild.)


Prof. Steven G. Johnson Course Number

18.335J / 6.337J

As Taught In

Spring 2019



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This course uses an advanced introduction to numerical analysis, through a focus on accuracy and also efficiency of numerical algorithms. Topics incorporate sparse-matrix/iterative and also dense-matrix algorithms in numerical direct algebra (for straight units and also eigenproblems), floating-suggest arithmetic, backwards error evaluation, conditioning, and also stcapacity. Other computational topics (e.g., numerical integration or nondirect optimization) are additionally surveyed.

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Stalso Johnson. 18.335J Summary to Numerical Methods . Spring 2019. Massachusetts Institute of Technology: OpenCourseWare, License: Creative Commons BY-NC-SA.

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