Git Product home page Git Product logo

labs's Introduction

About

This project contains the labs for the Foundations of Applied Mathematics curriculum and are being developed as part of BYU's Applied and Computational Mathematics degree program. The labs go in tandem with the four textbooks that are currently being written and will start rolling out in 2017.

This work is licenced under the Creative Commons Attribution 3.0 United States License. To view a copy of this license please visit http://creativecommons.org/licenses/by/3.0/us/ and see cc-by-license.txt.

The owners of this work are
Jeffrey Humpherys and Tyler J. Jarvis
Department of Mathematics
Brigham Young University
Email: [email protected]

This project is funded in part by the National Science Foundation, grant no. TUES Phase II DUE-1323785.

Build Instructions

Visit the releases page to download the latest version of the lab curriculum.

To gain access to the entire repository, fork this repository and clone it. Each volume can then be built separately using the LaTex files listed below.

  • Volume 1, Mathematical Analysis: Volume1.tex
  • Volume 2, Algorithm Design and Optimization: Volume2.tex
  • Volume 3, Modeling with Uncertainty and Data: Volume3.tex
  • Volume 4, Modeling with Dynamics and Control: Volume4.tex

Compile the files using TeXShop or a similar program, or via the command line:

$ latexmk -pdf Volume1.tex

or

$ pdflatex Volume1.tex

(These commands create a PDF called, for example, Volume1.pdf.)

Data Files

The data sets used in these labs can be found at Foundations-of-Applied-Mathematics/Data, organized by volume.

Contributors

Managing Editors

  • J. Humpherys, Brigham Young University
  • T. Jarvis, Brigham Young University

Faculty Contributors

  • E. Evans, Brigham Young University
  • R. Evans, Brigham Young University
  • J. Grout, Drake University
  • J. Whitehead, Brigham Young University

Student Contributors

J. Adams, J. Bejarano, Z. Boyd, M. Brown, T. Christensen, M. Cook, R. Dorff, B. Ehlert, M. Fabiano, A. Frandsen, K. Finlinson, J. Fisher, R. Fuhriman, S. Giddens, C. Gigena, M. Graham, F. Glines, M. Goodwin, R. Grout, J. Hendricks, A. Henriksen, I. Henriksen, C. Hettinger, S. Horst, K. Jacobson, J. Leete, J. Lytle, R. McMurray, S. McQuarrie, J. Morrise, M. Morrise, A. Morrow, R. Murray, J. Nelson, M. Proudfoot, D. Reber, C. Robertson, R. Sandberg, J. Stewart, S. Suggs, T. Thompson, M. Victors, J. Webb, R. Webb, J. West, A. Zaitzeff

labs's People

Contributors

shanemcq18 avatar tylerjarvis avatar jhumpherys avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.