Abstract machine for a comonadic dataflow language
... In Chapter 2 we give an overview of comonadic dataflow languages. We start by presenting a short introduction to programming in a dataflow language Lucid Synchrone to provide some context. Next, we will introduce the notion of comonads, and present a comonadic evaluator for a higher-order non-strict ...
... In Chapter 2 we give an overview of comonadic dataflow languages. We start by presenting a short introduction to programming in a dataflow language Lucid Synchrone to provide some context. Next, we will introduce the notion of comonads, and present a comonadic evaluator for a higher-order non-strict ...
Methods and Patterns for User-friendly Quantum Programming
... with frequent requirements amongst others being: completeness, extensibility, abstracting away and being independent from the underlying machinery, and being expressive enough to allow one to define quantum data structures, oracles etc., handling of measurement, handling of quantum memory/registers. ...
... with frequent requirements amongst others being: completeness, extensibility, abstracting away and being independent from the underlying machinery, and being expressive enough to allow one to define quantum data structures, oracles etc., handling of measurement, handling of quantum memory/registers. ...
Scheme: More function examples, higher
... – Each call made by fiblist to fib repeats work done in the previous call. – Solution: Use the contents of the list as we build it up. That is, if we have a list of the first n-1 Fibonacci numbers, it should be very easy to add the n-th Fibonacci number to this list. ...
... – Each call made by fiblist to fib repeats work done in the previous call. – Solution: Use the contents of the list as we build it up. That is, if we have a list of the first n-1 Fibonacci numbers, it should be very easy to add the n-th Fibonacci number to this list. ...
Lambda Calculus as a Programming Language
... The Lambda calculus can be considered as the machine code of a particular computer. Call it the Lambda machine. As in conventional computers, layers of data representation and processing constructs with varying level of abstraction can be implemented on the Lambda machine starting from the basic mac ...
... The Lambda calculus can be considered as the machine code of a particular computer. Call it the Lambda machine. As in conventional computers, layers of data representation and processing constructs with varying level of abstraction can be implemented on the Lambda machine starting from the basic mac ...
Chapter 1 - KSU Web Home
... QUOTE is required because the Scheme interpreter, named EVAL, always evaluates parameters to function applications before applying the function. QUOTE is used to avoid parameter evaluation when it is not appropriate ...
... QUOTE is required because the Scheme interpreter, named EVAL, always evaluates parameters to function applications before applying the function. QUOTE is used to avoid parameter evaluation when it is not appropriate ...
3. Functional Programming
... represented as lists that resemble lambda expressions and are then interpreted or compiled. APL is a language for manipulating arrays and arrays of arrays. Programs are built up of functional operators applied to arrays. Later languages like Mathematica owe a great deal to APL. ISWIM is a paper lang ...
... represented as lists that resemble lambda expressions and are then interpreted or compiled. APL is a language for manipulating arrays and arrays of arrays. Programs are built up of functional operators applied to arrays. Later languages like Mathematica owe a great deal to APL. ISWIM is a paper lang ...
pl10ch15
... DEFINE - Two forms: 1. To bind a symbol to an expression e.g., (DEFINE pi 3.141593) Example use: (DEFINE two_pi (* 2 pi)) These symbols are not variables – they are like the names bound by Java’s final declarations ...
... DEFINE - Two forms: 1. To bind a symbol to an expression e.g., (DEFINE pi 3.141593) Example use: (DEFINE two_pi (* 2 pi)) These symbols are not variables – they are like the names bound by Java’s final declarations ...
Chapter 15 slides - Erica Heitman-Ford
... DEFINE - Two forms: 1. To bind a symbol to an expression e.g., (DEFINE pi 3.141593) Example use: (DEFINE two_pi (* 2 pi)) These symbols are not variables – they are like the names bound by Java’s final declarations ...
... DEFINE - Two forms: 1. To bind a symbol to an expression e.g., (DEFINE pi 3.141593) Example use: (DEFINE two_pi (* 2 pi)) These symbols are not variables – they are like the names bound by Java’s final declarations ...
Introducing Haskell COS 441 Slides 3 Slide content credits:
... • My research, many of my courses have used ML – SML or O’Caml ...
... • My research, many of my courses have used ML – SML or O’Caml ...
Chapter 15 - McMaster Computing and Software
... e.g., (LAMBDA (x) (* x x) x is called a bound variable • Lambda expressions can be applied to parameters e g ((LAMBDA (x) (* x x)) 7) e.g., • LAMBDA expressions can have any number of parameters (LAMBDA (a b x) (+ (* a x x) (* b x))) Copyright © 2012 Addison-Wesley. All rights reserved. ...
... e.g., (LAMBDA (x) (* x x) x is called a bound variable • Lambda expressions can be applied to parameters e g ((LAMBDA (x) (* x x)) 7) e.g., • LAMBDA expressions can have any number of parameters (LAMBDA (a b x) (+ (* a x x) (* b x))) Copyright © 2012 Addison-Wesley. All rights reserved. ...
Chapter 2
... Haskell is that there are a lot of functions defined for accessing and manipulation of lists as well as defining lists. To represent a sequence of elements as list one has to separate each element in a list by a comma and enclose the entire sequence with square brackets. For example [12, 4, 56]. In ...
... Haskell is that there are a lot of functions defined for accessing and manipulation of lists as well as defining lists. To represent a sequence of elements as list one has to separate each element in a list by a comma and enclose the entire sequence with square brackets. For example [12, 4, 56]. In ...
10~Chapter 10_Functi.. - Programming Assignment 0
... constructive proofs, but at a more abstract level: – the logic programmer writes a set of axioms that allow the computer to discover a constructive proof for each particular set of inputs Copyright © 2009 Elsevier ...
... constructive proofs, but at a more abstract level: – the logic programmer writes a set of axioms that allow the computer to discover a constructive proof for each particular set of inputs Copyright © 2009 Elsevier ...
1 Salient Features of Functional Programming
... • ?1958: 2nd oldest programming language still in use — Fortran came out earlier in the same year! • Its original (and still main) area was AI. • The current Common Lisp standard was approved by ANSI in 1994, and no major changes are expected. • The Scheme dialect continues to evolve. • Motivated by ...
... • ?1958: 2nd oldest programming language still in use — Fortran came out earlier in the same year! • Its original (and still main) area was AI. • The current Common Lisp standard was approved by ANSI in 1994, and no major changes are expected. • The Scheme dialect continues to evolve. • Motivated by ...
Hugs (Haskell)
... If a function is side-effect free and deterministic, it has referential transparency—all calls to the function could be replaced in the program text by the result of the function ...
... If a function is side-effect free and deterministic, it has referential transparency—all calls to the function could be replaced in the program text by the result of the function ...
Functional Programming
... only 2 kinds of data objects 1. atoms (identifiers, strings, numbers, …) 2. lists (of atoms and sublists) unlike arrays, lists do not have to store items of same type/size do not have to be stored contiguously do not have to provide random access ...
... only 2 kinds of data objects 1. atoms (identifiers, strings, numbers, …) 2. lists (of atoms and sublists) unlike arrays, lists do not have to store items of same type/size do not have to be stored contiguously do not have to provide random access ...
ppt - Dave Reed
... only 2 kinds of data objects 1. atoms (identifiers, strings, numbers, …) 2. lists (of atoms and sublists) unlike arrays, lists do not have to store items of same type/size do not have to be stored contiguously do not have to provide random access ...
... only 2 kinds of data objects 1. atoms (identifiers, strings, numbers, …) 2. lists (of atoms and sublists) unlike arrays, lists do not have to store items of same type/size do not have to be stored contiguously do not have to provide random access ...
x + 1 - Postech
... Variables are NOT variable. • The contents of a variable never change. • Surprise? – That’s because you are thinking about variables in imperative programming. variables in SML ...
... Variables are NOT variable. • The contents of a variable never change. • Surprise? – That’s because you are thinking about variables in imperative programming. variables in SML ...
Introduction to Functional Programming (1)
... 1950s John McCarthy develops Lisp, the first functional language, with some influences from the lambda calculus, but retaining variable assignments. 1960s Peter Landin develops ISWIM, the first pure functional language, based strongly on the lambda calculus, with no assignments. 1970s John Backus de ...
... 1950s John McCarthy develops Lisp, the first functional language, with some influences from the lambda calculus, but retaining variable assignments. 1960s Peter Landin develops ISWIM, the first pure functional language, based strongly on the lambda calculus, with no assignments. 1970s John Backus de ...
Functional Programming, ML, and the λ
... Programming in Standard ML • The SML prompt lets you type either a term or a declaration that binds a variable to a term • Running an ML program is just evaluating a term – The ML evaluator takes the left-most expression that is not a value and reduces it to some simpler expression. Eventually the ...
... Programming in Standard ML • The SML prompt lets you type either a term or a declaration that binds a variable to a term • Running an ML program is just evaluating a term – The ML evaluator takes the left-most expression that is not a value and reduces it to some simpler expression. Eventually the ...
CS 135 - School of Computer Science Student WWW Server
... CS 135 Survival Guide • Available on the course Web page • Read it as soon as possible • You must do your own work in this course. • Completing assignments is the key to success. ...
... CS 135 Survival Guide • Available on the course Web page • Read it as soon as possible • You must do your own work in this course. • Completing assignments is the key to success. ...
pl11ch15
... e.g., (DEFINE (square x) (* x x)) Example use: (square 5) - The evaluation process for DEFINE is different! The first parameter is never evaluated. The second parameter is evaluated and bound to the first parameter. Copyright © 2015 Pearson. All rights reserved. ...
... e.g., (DEFINE (square x) (* x x)) Example use: (square 5) - The evaluation process for DEFINE is different! The first parameter is never evaluated. The second parameter is evaluated and bound to the first parameter. Copyright © 2015 Pearson. All rights reserved. ...