Welcome to the Rutgers Maple Help Pages!
The freedom to work with "exact" symbolic computation, with numerical approximation (with specified accuracy) and with visual display of data (human beings learn much more from pictures than from lists of numbers!) is very useful. Maple provides an environment which allows all of these, plus the freedom to move among these representations of mathematical ideas.
Much teaching and research is now improved by access to powerful programs which allow experimentation. Examples can be discovered and explored which are useful for instruction. These programs can also be used to further understand complicated phenomena which are not easily explained.
Many students have graphing calculators. These are useful, but are limited by speed and memory size. Simple errors may occur. There are large computer programs with powerful numerical, symbolic, and graphical capabilities. These still may have the potential for errors (as some of the contents of the link discuss) but much effort has gone into their programming. The most widely distributed programs are Maple, Mathematica, and Derive. Here Maple will be favored, since almost every large computer system at Rutgers has Maple installed. These programs are not infallible but they can be very helpful. Other programs are available with special capabilities. For example, Matlab, a program originally directed at problems of linear algebra, is widely used at the Engineering School.
How to get those answers
The answers to the questions above were obtained with the following Maple instructions. Please: these instructions are not given to impress you, but rather to show how easy is is to get the answers.
Programming in Maple
Maple is also a programming environment. Maple programs are called procedures. The Maple language has many statements supporting program flow such as if ...then and while and do etc., and also has a variety of data types. There's no time in Math 251 for this material, but serious programming is possible and useful in the Maple language. A number of books on Maple programming can be found on the web. One such is Maple: A comprehensive introduction by Roy Nicolaides and Noel Walkington, Cambridge University Press ($75, 484 pages).
Last modified 1/11/2015. Suggestions for corrections or additions should go to the math 251 coordinator or the math department computer coordinator. As of Spring 2015 these are Speer (speer@math) and Cherlin (cherlin@math).