
Part 1
... computability, which at the time was usually studied using Turing machines McCarthy thought that symbolic lists was a more natural model of computation than Turing machines Common Lisp is the ANSI standard Lisp specification All LISP structures, including code and data, have uniform structure Ca ...
... computability, which at the time was usually studied using Turing machines McCarthy thought that symbolic lists was a more natural model of computation than Turing machines Common Lisp is the ANSI standard Lisp specification All LISP structures, including code and data, have uniform structure Ca ...
Programming paradigms.
... Java: Imperative, object-oriented, and concurrent programming with static types and garbage collection Scheme: Lexically scoped, applicative-style recursive programming with dynamic types Standard ML: Practical functional programming with strict (eager) evaluation and polymorphic type inferenc ...
... Java: Imperative, object-oriented, and concurrent programming with static types and garbage collection Scheme: Lexically scoped, applicative-style recursive programming with dynamic types Standard ML: Practical functional programming with strict (eager) evaluation and polymorphic type inferenc ...
Haskell Summary Functions • A function takes 1 or more parameter
... Also, functions have precedence over all other operators. Hence, we write f a (b+1) to mean f (a, b + 1); otherwise (f a b) + 1 is understood. Operator identifiers use only a set of special characters: !, #, $, %, &, *, +, ., /, <, =, >, ?, @, \, ^, |, -, ~ . Operators can also be used as functions: ...
... Also, functions have precedence over all other operators. Hence, we write f a (b+1) to mean f (a, b + 1); otherwise (f a b) + 1 is understood. Operator identifiers use only a set of special characters: !, #, $, %, &, *, +, ., /, <, =, >, ?, @, \, ^, |, -, ~ . Operators can also be used as functions: ...
Haskell - CIS @ UPenn
... Add, subtract, and multiply are type (Num a) => a -> a -> a Divide is type (Fractional a) => a -> a -> a Exponentiation is type (Num a, Integral b) => a -> b -> a They have type (Integral a) => a -> Bool ...
... Add, subtract, and multiply are type (Num a) => a -> a -> a Divide is type (Fractional a) => a -> a -> a Exponentiation is type (Num a, Integral b) => a -> b -> a They have type (Integral a) => a -> Bool ...
Chapter 15 Functional Programming
... x is zero and 1/x otherwise. If all arguments to the if functions are evaluated at the time of the call, division by zero cannot be prevented. ...
... x is zero and 1/x otherwise. If all arguments to the if functions are evaluated at the time of the call, division by zero cannot be prevented. ...
02/06
... A reader macro is a definition of a single character, which is expanded into its Lisp definition An example of a reader macro is an apostrophe character, which is expanded into a call to QUOTE ...
... A reader macro is a definition of a single character, which is expanded into its Lisp definition An example of a reader macro is an apostrophe character, which is expanded into a call to QUOTE ...
doc
... languages. As a metric, lines of code can turn into a syntax issue. The authors comment, “The syntax issue is a subjective one, but we note, for example, that many of languages used in this experiment have relatively heavy-weight “begin…end” constructions, whereas Haskell uses a convenient ‘’layout’ ...
... languages. As a metric, lines of code can turn into a syntax issue. The authors comment, “The syntax issue is a subjective one, but we note, for example, that many of languages used in this experiment have relatively heavy-weight “begin…end” constructions, whereas Haskell uses a convenient ‘’layout’ ...
20100222 F# Let the fun begin – part 1
... http://www.simple-talk.com/opinion/geek-of-the-week/don-syme-geekof-the-week/ ...
... http://www.simple-talk.com/opinion/geek-of-the-week/don-syme-geekof-the-week/ ...
Lambda-Lifting in Quadratic Time
... partial evaluators and that operates in cubic time. In this article, we show how to reduce this complexity to quadratic time, and we present a flow-sensitive lambda-lifter that also works in quadratic time. Lambda-lifting transforms a block-structured program into a set of recursive equations, one f ...
... partial evaluators and that operates in cubic time. In this article, we show how to reduce this complexity to quadratic time, and we present a flow-sensitive lambda-lifter that also works in quadratic time. Lambda-lifting transforms a block-structured program into a set of recursive equations, one f ...
Functional Programming www.AssignmentPoint.com In computer
... In the 1970s, ML was created by Robin Milner at the University of Edinburgh, and David Turner initially developed the language SASL at the University of St. Andrews and later the language Miranda at the University of Kent. Also in Edinburgh in the 1970s, Burstall and Darlington developed the functi ...
... In the 1970s, ML was created by Robin Milner at the University of Edinburgh, and David Turner initially developed the language SASL at the University of St. Andrews and later the language Miranda at the University of Kent. Also in Edinburgh in the 1970s, Burstall and Darlington developed the functi ...
Hello, World!
... All newer languages are gaining functional and concurrent features Older languages, such as Java, are also trying to integrate these features ...
... All newer languages are gaining functional and concurrent features Older languages, such as Java, are also trying to integrate these features ...
presentation - Queaso Systems nv
... Advantages of having no mutable variables • Referential transparancy A reference always refers to the same value o Mathematically sound • Implicit parallellism o Order of execution can be chosen, both at compile and run time o Synchronisation: locking issues when dependencies ...
... Advantages of having no mutable variables • Referential transparancy A reference always refers to the same value o Mathematically sound • Implicit parallellism o Order of execution can be chosen, both at compile and run time o Synchronisation: locking issues when dependencies ...
Functional Programming
... Functional programming languages are carefully designed to support problem solving. There are many features in these languages which help the user to design clear, concise, abstract, modular, correct and reusable solutions to problems. The functional Style of Programming allows the formulation of so ...
... Functional programming languages are carefully designed to support problem solving. There are many features in these languages which help the user to design clear, concise, abstract, modular, correct and reusable solutions to problems. The functional Style of Programming allows the formulation of so ...
Chapter 14a - McGraw Hill Higher Education
... Eager evaluation = evaluating arguments at the beginning of the call. – Advantage: efficiency Copyright © 2006 The McGraw-Hill Companies, Inc. ...
... Eager evaluation = evaluating arguments at the beginning of the call. – Advantage: efficiency Copyright © 2006 The McGraw-Hill Companies, Inc. ...
Chapter 7: Functional Programming Languages
... • the function f : in the imperative language, it is always an explicitly defined function symbol; in the functional language, it can be any expression (for instance, a lambda abstract or an application). Thus the evaluation of f is not simply a look-up in the function table. But we can just replac ...
... • the function f : in the imperative language, it is always an explicitly defined function symbol; in the functional language, it can be any expression (for instance, a lambda abstract or an application). Thus the evaluation of f is not simply a look-up in the function table. But we can just replac ...
A Tutorial Introduction to the Lambda Calculus
... developed in order to study some mathematical properties of effectively computable functions, this formalism has provided a strong theoretical foundation for the family of functional programming languages. We show how to perform some arithmetical computations using the λ calculus and how to define r ...
... developed in order to study some mathematical properties of effectively computable functions, this formalism has provided a strong theoretical foundation for the family of functional programming languages. We show how to perform some arithmetical computations using the λ calculus and how to define r ...
Functional Programming
... Pro: behavior of functions defined by the values of input arguments only (no side-effects via global/static variables) Cons: function composition is (considered to be) stateless Cons: programmers prefer imperative programming constructs such as statement sequencing, while functional languages emphas ...
... Pro: behavior of functions defined by the values of input arguments only (no side-effects via global/static variables) Cons: function composition is (considered to be) stateless Cons: programmers prefer imperative programming constructs such as statement sequencing, while functional languages emphas ...
Lecture Notes
... Standard distribution, library support, new language features, development tools, use in industry, influence on other languages, etc. ...
... Standard distribution, library support, new language features, development tools, use in industry, influence on other languages, etc. ...
Functional Programming
... To understand a function, you need examine only the function itself A function can use other functions, and of course you need to know what those functions are supposed to compute (but nothing about how they do it) In addition, functions can be called in any order, including in parallel ...
... To understand a function, you need examine only the function itself A function can use other functions, and of course you need to know what those functions are supposed to compute (but nothing about how they do it) In addition, functions can be called in any order, including in parallel ...
Functional Programming
... To understand a function, you need examine only the function itself A function can use other functions, and of course you need to know what those functions are supposed to compute (but nothing about how they do it) In addition, functions can be called in any order, including in parallel ...
... To understand a function, you need examine only the function itself A function can use other functions, and of course you need to know what those functions are supposed to compute (but nothing about how they do it) In addition, functions can be called in any order, including in parallel ...