'Tail recursive' diaporamas de présentation

Cost Models

Cost Models. Which Is Faster?. Y=[1|X] append(X,[1],Y). Every experienced programmer has a cost model of the language: a mental model of the relative costs of various operations Not usually a part of a language specification, but very important in practice. Outline. A cost model for lists

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Cost Models

Cost Models. Which Is Faster?. Y=[1|X] append(X,[1],Y). Every experienced programmer has a cost model of the language: a mental model of the relative costs of various operations Not usually a part of a language specification, but very important in practice. Outline.

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Prolog - Part 2

Prolog - Part 2. Patrick Rypalla Alexis Raptarchis rypalla@cs.uni-bonn.de raptarch@cs.uni-bonn.de. Lists. A list is a finite sequence of elements. Example of a list in Prolog: [mia, vincent, jules, yolanda] [] [[ ], dead(z), [2, [b,c]], [ ], Z, [2, [b,c]]]

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More Scheme

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More Scheme

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Data Structures and Algorithms for Information Processing

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Control in Sequential Languages

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Control in Sequential Languages

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Cost Models

Cost Models. Which Is Faster?. Every experienced programmer has a cost model of the language: a mental model of the relative costs of various operations Not usually a part of a language specification, but very important in practice. val y = 1::x; val y = append(1,x);. Outline.

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Control of Execution & Lists

Control of Execution & Lists. CS321 Spring 2008. Trace. Prolog has a built-in predicate named trace Displays the instantiations of values to variables at each step during the attempt to satisfy a given goal Used to understand and debut Prolog programs. Trace. Using trace in gprolog:

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Tail Recursion

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Data Structures and Algorithms for Information Processing

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Chapter 6 Supplement: Recursion with Python

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Tail Recursion

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COS220 Concepts of PLs AUBG, COS dept

COS220 Concepts of PLs AUBG, COS dept. Exercise 08a Iteration and Recursion in Procedure Oriented Programming Reference: lecture 08. Exercise Topics:. Build and test a set of functions that illustrate the implementation of certain iterative and recursive algorithms. Function description.

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Principles of logic programming Prolog - continued

Principles of logic programming Prolog - continued. 1. Cutting (pruning) backtracking: predicate cut Backtracking can be sometimes inconvenient. Example: f(X, 0) :- X < 3. % 1 f(X, 2) :- 3 =< X, X < 6. % 2 f(X, 4) :- 6 =< X. % 3 relation(X, Y) :- f(X, Y), 2 < Y.

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Tail Recursion

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7.Algorithm Efficiency

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CSSE221: Software Dev. Honors Day 17

CSSE221: Software Dev. Honors Day 17. Announcements Fifteen and CarsTrucksTrains coming back Note: depending on complexity of code, you should use // internal comments as well as javadoc Javadoc is for the user of the program; internal comments are for programmers; both are important

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CS 360 Lab 1

CS 360 Lab 1. Professor: Krzysztof Nowak TA: Mark Boady. Lab Overview. 50 minute lab session Work in Teams (Individual submission) I need a copy of the lab for each STUDENT Grading: Written Questions are graded after submission Experimental Questions are shown and graded in class

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