MATH 3510
Fall semester 2020
  • Syllabus
  • Calendar
    • HW01
    • HW02
    • HW03
    • HW04
    • HW05
    • HW06
    • HW07
    • HW08
    • Homework guidelines
    • Homework grades
  • Downloads
    • Midterm 1
    • Midterm 2
    • Final exam
    • Midterm grades
    • Final exam grade
  • HuskyCT

Numerical computing

  • Cleve Moler (MathWorks), Numerical Computing with MATLAB

    Numerical Computing with MATLAB is a textbook for an introductory course in numerical methods, ..., and technical computing. The emphasis is on informed use of mathematical software. We want you learn enough about the [available software] that you will be able to use [it] correctly, appreciate [its] limitations, and modify [it] when necessary to suit your own needs.

  • L. N. Trefethen (University of Oxford), Scientific Computing for DPhil (PhD) Students , 2016

    Videos of twenty four 50-minute lectures for DPhil (PhD) students across all the science departments at the University of Oxford.

  • Peter J. Olver (University of Minnesota), Lecture Notes on Numerical Analysis , 2008

    "The goal of this course of lectures is to introduce some of the most important and basic numerical algorithms that are used in practical computations ... [with] a thorough understanding of how the algorithms are constructed, why they work, and what their limitations are."

  • Masayuki Yano (University of Toronto), Scientific Computing , 2019

    "Third-year undergraduate course at the University of Toronto introduces numerical methods for scientific computation which are relevant to the solution of a wide range of engineering problems. Topics addressed include interpolation, integration, linear systems, least-squares fitting, nonlinear equations and optimization, initial value problems, and partial differential equations."

  • Chris Rycroft (Harvard University), Advanced Scientific Computing: Numerical Methods , Applied Math 205, 2018

  • Alex Townsend (Cornell) Top Ten Algorithms from the 20th Century , Math 7270, 2019

    "In the January/February 2000 issue of Computing in Science and Engineering, Jack Dongarra and Francis Sullivan selected 10 algorithms with the greatest influence on science, numerical analysis, and engineering in the 20th century. In March 2016, Nick Higham (SIAM president, 2017-2018) presented a slightly revised list. In this course we will cover the motivations, ideas, history, and future impact of these ten algorithms.

    Prerequities: A passion for numerical algorithms."

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Resources

  1. Course textbook on author's website
  2. Course textbook on Google Books
  3. Course textbook, Julia version
  4. Numerical computing
  5. Matlab
  6. Git and Gitlab
  7. Latex
  8. Julia

Course Archives

  1. Numerical Analysis I, Fall 2019
  2. Numerical Analysis II, Spring 2020

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