Haskell exercises set 1
... 6. We try some predefined operations on lists, for example: head [1,2,3] tail [1,2,3] take 2 [1,2,3] drop 2 [1,2,3] length [1,2,3] sum [1,2,3] ...
... 6. We try some predefined operations on lists, for example: head [1,2,3] tail [1,2,3] take 2 [1,2,3] drop 2 [1,2,3] length [1,2,3] sum [1,2,3] ...
Modeling C preprocessor metaprograms using purely functional
... The preprocessor subset of Boost library [6] provides a large number of utility macros. These include integer arithmetic operators, container data types, control structures like conditionals and loops. Metaprogramming in general is closely related to functional programming. Boost also includes a sep ...
... The preprocessor subset of Boost library [6] provides a large number of utility macros. These include integer arithmetic operators, container data types, control structures like conditionals and loops. Metaprogramming in general is closely related to functional programming. Boost also includes a sep ...
A short introduction to the Lambda Calculus
... 2. Expressions in the λ-calculus. The λ-calculus is a notation for functions. It is extremely economical but at first sight perhaps somewhat cryptic, which stems from its origins in mathematical logic. Expressions in the λ-calculus are written in strict prefix form, that is, there are no infix or po ...
... 2. Expressions in the λ-calculus. The λ-calculus is a notation for functions. It is extremely economical but at first sight perhaps somewhat cryptic, which stems from its origins in mathematical logic. Expressions in the λ-calculus are written in strict prefix form, that is, there are no infix or po ...
Data Structures and Functional Programming Course Overview
... Must be able to learn new languages • This is relatively easy if you understand programming models and paradigms We will be using OCaml, a dialect of ML Why use yet another language? • Not to mention an obscure one? Main answer: OCaml programs are easy to reason about ...
... Must be able to learn new languages • This is relatively easy if you understand programming models and paradigms We will be using OCaml, a dialect of ML Why use yet another language? • Not to mention an obscure one? Main answer: OCaml programs are easy to reason about ...
slides
... • Both complicate reasoning about program behavior. • However, that doesn’t mean we can do without side effects – Persistence – Dispensing cash – Requesting input – Displaying a page ...
... • Both complicate reasoning about program behavior. • However, that doesn’t mean we can do without side effects – Persistence – Dispensing cash – Requesting input – Displaying a page ...
presentation - Queaso Systems nv
... No mutable variables! (in pure FP-languages) • in general no side effects ...
... No mutable variables! (in pure FP-languages) • in general no side effects ...
1 Introduction 2 An Interpreter
... The first test tells the test suite that the expression (+ 1 2 3) should evaluate to the value 6. The expected value of the second test is exception. This tells the interpreter that the expression is illegal and should result in an error message that contains the word (ignoring case) exception. The ...
... The first test tells the test suite that the expression (+ 1 2 3) should evaluate to the value 6. The expected value of the second test is exception. This tells the interpreter that the expression is illegal and should result in an error message that contains the word (ignoring case) exception. The ...
Introduction to Functional Programming
... Kinds of recursion How do we know that the evaluation of these functions will terminate? Trivially fact 0 terminates, since it doesn't generate a recursive call. If we evaluate fact n for n > 0, we need fact (n - 1), then maybe fact (n - 2), fact (n - 3) etc., but eventually, after n recursive calls ...
... Kinds of recursion How do we know that the evaluation of these functions will terminate? Trivially fact 0 terminates, since it doesn't generate a recursive call. If we evaluate fact n for n > 0, we need fact (n - 1), then maybe fact (n - 2), fact (n - 3) etc., but eventually, after n recursive calls ...
Functional Programming Pure Functional Languages
... parameter associations – no side effects Functional Programming, CS314 Fall 01© BGRyder ...
... parameter associations – no side effects Functional Programming, CS314 Fall 01© BGRyder ...
Functional Programming, Parametricity, Types
... Fast and loose reasoning is morally correct [DHJG06] Functional programmers often reason about programs as if they were written in a total language, expecting the results to carry over to non-total (partial) languages. We justify such reasoning. but what does this mean exactly? ...
... Fast and loose reasoning is morally correct [DHJG06] Functional programmers often reason about programs as if they were written in a total language, expecting the results to carry over to non-total (partial) languages. We justify such reasoning. but what does this mean exactly? ...
Chapter 15 - Department of Computer Science University of Miami
... e.g., If the list (A B C) is interpreted as data it is a simple list of three atoms, A, B, and C If it is interpreted as a function application, it means that the function named A is applied to the two parameters, B and C • The first LISP interpreter appeared only as a demonstration of the universal ...
... e.g., If the list (A B C) is interpreted as data it is a simple list of three atoms, A, B, and C If it is interpreted as a function application, it means that the function named A is applied to the two parameters, B and C • The first LISP interpreter appeared only as a demonstration of the universal ...
Functional PLs
... e.g., If the list (A B C) is interpreted as data it is a simple list of three atoms, A, B, and C . If it is interpreted as a function application, it means that the function named A is applied to the two parameters, B and C • The first LISP interpreter appeared only as a demonstration of the univers ...
... e.g., If the list (A B C) is interpreted as data it is a simple list of three atoms, A, B, and C . If it is interpreted as a function application, it means that the function named A is applied to the two parameters, B and C • The first LISP interpreter appeared only as a demonstration of the univers ...
Functional Imperative Style
... Another way to express this is in terms of the built-in Haskell function until: neg :: (a -> Bool) -> a -> Bool neg p = \x -> not (p x) while1 = until . neg This allows us to write the function g as follows: g2 = while1 p h ...
... Another way to express this is in terms of the built-in Haskell function until: neg :: (a -> Bool) -> a -> Bool neg p = \x -> not (p x) while1 = until . neg This allows us to write the function g as follows: g2 = while1 p h ...
Functional Programming: Introduction Introduction (Cont.)
... • Manifest Interface Principle (of Programming Languages): All interfaces should be apparent (manifest) in the syntax. ...
... • Manifest Interface Principle (of Programming Languages): All interfaces should be apparent (manifest) in the syntax. ...
Foundations of Programming Languages Seyed H. Roosta
... parameters, not on any previous computations, the order of evaluation, or the execution path that led to the call. . Dynamic Memory Environment, which is allocation and deallocation of memory during program execution. As a consequence, a fully dynamic environment must perform some kind of automatic ...
... parameters, not on any previous computations, the order of evaluation, or the execution path that led to the call. . Dynamic Memory Environment, which is allocation and deallocation of memory during program execution. As a consequence, a fully dynamic environment must perform some kind of automatic ...
Fundamentals
... ((lambda (f) (lambda (x) (f (f x)))) (lambda (y) (+ y 1)) = (lambda (x) ((lambda (y) (+ y 1)) ((lambda (y) (+ y 1)) x)))) ...
... ((lambda (f) (lambda (x) (f (f x)))) (lambda (y) (+ y 1)) = (lambda (x) ((lambda (y) (+ y 1)) ((lambda (y) (+ y 1)) x)))) ...