By Greg Michaelson

Practical programming is rooted in lambda calculus, which constitutes the world's smallest programming language. This well-respected textual content deals an available creation to sensible programming innovations and methods for college kids of arithmetic and computing device technology. The remedy is as nontechnical as attainable, and it assumes no previous wisdom of arithmetic or sensible programming. Cogent examples light up the vital rules, and various routines look in the course of the textual content, supplying reinforcement of key suggestions. All difficulties characteristic whole ideas.

**Read or Download An Introduction to Functional Programming Through Lambda Calculus (Dover Books on Mathematics) PDF**

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**Additional resources for An Introduction to Functional Programming Through Lambda Calculus (Dover Books on Mathematics)**

**Sample text**

To evaluate the abstraction, we need to supply two values. For example, 12 items at 32 cents will have total cost: which is: which is: For example, 25 items at 15 cents will have total cost: 63 which is: which is: Suppose we now want to solve a different problem. We are given the total cost and the number of items and we want to find out how much each item costs. For example, if 12 items cost 144 cents, then each item costs: If 15 items cost 45 cents then each item costs: In general, if items items cost cost cents then each item costs: 64 Now, compare this with the formula for finding a total cost: They are the same except for the operation ‘/’ in finding the cost of each item and ‘*’ in finding the cost of all items.

For example, if 12 items cost 144 cents, then each item costs: If 15 items cost 45 cents then each item costs: In general, if items items cost cost cents then each item costs: 64 Now, compare this with the formula for finding a total cost: They are the same except for the operation ‘/’ in finding the cost of each item and ‘*’ in finding the cost of all items. We have two instances of a problem involving the application of an operation to two operands.

This has important implications for computing because it may be more efficient to carry out some parts of a program in one order and other parts in another order. In particular, if a language is evaluation order independent, then it may be possible to carry out program parts in parallel. Today, λ calculus and recursive function theory are the backbones of functional programming but they have wider applications throughout computing. 8 Computing and the theory of computing The development of electronic digital computers in the 1940s and 1950s led to the introduction of high level languages to simplify programming.