Titlebook: What Computing Is All About; Jan L. A. Snepscheut Textbook 1993 Springer-Verlag New York, Inc. 1993 Computer.algorithms.automata.automata

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Regular Expressions,h an infinite set of states can be physically realized. In this chapter, we explore the class of languages that can be accepted with finite-state machines, the class of .. We study several ways of defining regular languages (right-linear grammars, transition graphs, regular expressions, and finite-s

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The Halting Problem and Formal Proofs,that parses an expression and, on the fly, evaluates the expression. In this chapter, we consider extensions of the grammar for expressions, essentially extending it to a “real” programming language, and conclude that it is then no longer possible to write a function for evaluating all interesting a

GRIN

Some Programming Heuristics, conjurers: we did argue the correctness of our programs but we never explained where they came from — like rabbits, they were pulled out of the magician’s hat. But a professional programmer is not a conjurer. A programmer should be able to explain how the program was derived, because program design

Etymology

Efficiency of Programs, for one over the other. By far the most relevant criterion for distinguishing between the programs is the time it takes to execute them. One has to be careful in these matters, though, as illustrated by the following example. Assume that we have two programs PA and PB that each solve our programmin

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Functional Programming,that operate on variables; one of the basic operations is the assignment statement, which causes the value of an expression to be stored in a variable. It is the only statement that changes the state spanned by the variables. This programming style is called imperative programming.

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