MATH 3511
Spring semester 2020
  • Syllabus
  • Calendar
    • Homework guidelines
    • HW01
    • HW02
    • HW03
    • HW04
    • HW05
    • HW06
    • HW07
    • Homework grades
  • Downloads
    • Midterm 1
    • Midterm 2
    • Final exam
    • Exam grades

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.

  • Morten Hjorth-Jensen (University of Oslo), Computational Physics , 2015

  • Victor Eijkhout (University of Texas at Austin), Introduction to High-Performance Scientific Computing , 2016

    "While good texts exist on numerical modeling, numerical linear algebra, computer architecture, parallel computing, performance optimization, no book brings together these strands in a unified manner. The need for a book such as the present became apparent to the author working at a computing center: users are domain experts who not necessarily have mastery of all the background that would make them efficient computational scientists. This book, then, teaches those topics that seem indispensible for scientists engaging in large-scale computations"

  • 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."

  • Homer Reid (MIT) Introduction to Numerical Analysis , 2016

  • Laurent Demanet (MIT) Introduction to Numerical Analysis , 2014

  • Allen Downey, Craig Scratchley, Modeling and Simulation in MATLAB , 2014-2019

Lorem Ipsum

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\[ \begin{align} \nabla \times \vec{E} & = -\frac{\partial\vec{B}}{\partial t} \\ \nabla \cdot \vec{D} & = \rho_f \\ \nabla \times \vec{H} & = \vec{J}_f + \frac{\partial\vec{D}}{\partial t}\\ \nabla \cdot \vec{B} & = 0 \end{align} \]

provision should not be cast in doubt and subjected to challenge whenever a related though not utterly inconsistent provision is adopted in the same statute or even in an affiliated statute, the two authors wrote

Resources

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

Course Archives

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

Links

  1. UConn AnyWare (aka UConn SkyBox)
  2. UConn GitLab
  3. UConn VPN
  4. UConn large file sharing
  5. UConn software
  6. Babbidge Library (free) laptop rentals

General

  1. Academic Calendar, Spring 2020
  2. UConn Math Department
  3. Dean of students
  4. 2020 Calendar of Religious Holidays
  5. Educational Rights and Privacy
  6. Office of the Provost's policies links
  7. How to E-mail Your Professor

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