Files for ma321

Pick up worksheets (*.mws or *.txt files) and postscript (*.ps) files here. The worksheets can be downloaded to a floppy. Postscript files can be viewed with ghostview.

  • syll321.mws
  • syllabus.ps
  • hand1.mws This worksheet explains a little bit about Maple.
  • hand1.ps
  • hand2.mws This worksheet gives more details about Maple.
  • hand2.ps postscript version
  • Two problems from the text (probs1.mws)
  • An assignment on Taylor Series (taylor.mws)
  • An assignment on Taylor Series (postscript)
  • Notes on the assignment (mws) Shows how to export Maple procedures to C++
  • Notes on the assignment (ps)
  • Use of Taylor series in numerical differentiation (mws)
  • Solution to Taylor Series assignment(.mws) Includes homework assignment for 9/12
  • More notesMore notes on Numerical differentiation(mws)
  • Maple project 1a (mws)A project on numerical differentiation.
  • Maple project 1b (mws)A project on machine numbers.
  • Maple project 1c (mws)A project on polynomial evaluation.
  • Inverting a function (mws) Some notes on bisection and Newton's method for solving equations.
  • Inverting a transformation (mws) Generalizing Newton's method to solving 2 equations in 2 variables.
  • Polynomial interpolation(mws) Using polynomial interpolation to invert functions.
  • Errors in interpolation (mws) Some of the theorems.
  • Splining Data(mws) A Maple project candidate.
  • Cubic Splines (mws). How to write your name.
  • Least squares fit(mws). Approximating data.
  • Least squares fit II(mws). Approximating data with linear splines. (A Maple Project on basic cubic splines)
  • Review for exam 2 (mws). Solution to review questions for exam 2.
  • Ill-conditioned systems (mws).An example using Chebychev polynomials.
  • A Maple project on Chebychev polynomials (mws)..
  • Romberg integration(mws).
  • Adaptive Simpson integration(mws) An application to parameterizing a curve by arc length.
  • Gauss rules(mws).
  • Numerical Multiple integration(mws)A primer.
  • Taylor series methods for IVPs(mws)Numerical solutions to differential equations (part 1).
  • Final project--Part 1(mws)
  • Runge Kutta methods for IVPs(mws)Numerical solutions to differential equations (part 2). Also, Part 2 of the Final Project.
  • Walking the rock.(mws)
  • A final review.(mws)