# 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)