By John O'Donnell

ISBN-10: 1846282411

ISBN-13: 9781846282416

Discrete arithmetic utilizing a working laptop or computer deals a brand new, "hands-on" method of educating Discrete arithmetic. utilizing software program that's freely on hand on Mac, computing device and Unix structures, the useful language Haskell permits scholars to test with mathematical notations and ideas -- a pragmatic method that offers scholars with rapid suggestions and permits academics to watch growth easily.

This moment variation of the profitable textbook comprises major extra fabric at the purposes of formal how to sensible programming difficulties. There are extra examples of induction proofs on small courses, in addition to a brand new bankruptcy exhibiting how a mathematical method can be utilized to encourage AVL timber, a major and complicated info structure.

Designed for 1st and 2d 12 months undergraduate scholars, the ebook is additionally like minded for self-study. No past wisdom of sensible programming is needed; every little thing the coed wishes is both supplied or should be picked up simply as they cross along.

Key good points include:

- quite a few routines and examples

- an online web page with software program instruments and extra perform difficulties, strategies, and causes, in addition to direction slides

- feedback for extra reading

Complete with an accompanying instructor's consultant, on hand through the net, this quantity is meant because the fundamental educating textual content for Discrete arithmetic classes, yet also will offer necessary interpreting for Conversion Masters and Formal equipment courses.

Visit the book’s website at: http://www.dcs.gla.ac.uk/~jtod/discrete-mathematics/

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**Additional resources for Discrete Mathematics Using a Computer Second Edition**

**Example text**

For imperative programming languages, hand execution involves simulating the actions of the computer as it obeys the commands in the program. For a pure functional language, like Haskell, hand execution is done by equational reasoning instead. Thus it is not just a tool for theoreticians trying to prove theorems about software—equational reasoning is essential for all functional programmers. For example, suppose we have the following script ﬁle: f :: Integer -> Integer -> Integer f x y = (2+x) * g y g :: Integer -> Integer g z = 8-z Now the expression f 3 4 can be evaluated (or “hand-executed”) by equational reasoning.

Here is the same chain of reasoning written in the alternative notation: 2*x + x/y = { x } 2*8 + 8/y = { y } 2*8 + 8/4 = { multiplication, division } 16 + 2 = { addition } 18 This style takes twice as many lines, and it may seem harder to read, but experience has shown that it scales up better to very large cases. As we said before, equational reasoning is a practical tool used for large-scale proofs about realistic programs, and the expressions sometimes become quite big. The second style is becoming standard for research papers.

Suppose that we apply (+) to the elements of the list [1,2,3] in this way: (+) 1 ((+) 2 ((+) 3 0)) On the third line, there is an expression that forms the second argument of the function application that appears on the second line. That application in turn forms the second argument of the application appearing on the ﬁrst line. In each case, the second argument of the (+) function is the result of a previous computation, handed on to the next application. This second argument is an accumulator.

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