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PPT - Crystal
PPT - Crystal

INTEGRATION OF FUNCTIONAL PROGRAMMING AND
INTEGRATION OF FUNCTIONAL PROGRAMMING AND

... As an answer to the challenges of translation of algebraic specifications into computer languages, there has been a growing interest in functional languages. Functional programming is so called because a program consists entirely of functions (Hughes, 1989). The main program itself is written as a f ...
Delegates and Events
Delegates and Events

9. Exception Handling - FSU Computer Science
9. Exception Handling - FSU Computer Science

... File input and output problems (e.g. end of file or disk full) Problems with arithmetic (e.g. overflow) Hardware and software interrupts (e.g. hitting the break key) Programming language implementation of exception handling can make defensive programming easier An exception is a special unexpected e ...
4on1 - FSU Computer Science
4on1 - FSU Computer Science

... File input and output problems (e.g. end of file or disk full) Problems with arithmetic (e.g. overflow) Hardware and software interrupts (e.g. hitting the break key) Programming language implementation of exception handling can make defensive programming easier An exception is a special unexpected e ...
Ch. 15
Ch. 15

... Simple syntax Inefficient execution Programs can automatically be made concurrent ...
PPTX
PPTX

... Pattern Matching Haskell’s syntax allows us to write a quicksort algorithm very concisely and clearly: quickSort [] = [] quickSort (x:xs) = quickSort low ++ [x] ++ quickSort high where low = [y | y <- xs, y < x] high = [y | y <- xs, y >= x] ...
Lambda Calculus Background, λ calculus Models of computation
Lambda Calculus Background, λ calculus Models of computation

... Compile (App (App (Abs…. ), Fun ”a”), Fun ”b”),[]) = [LDC b]@Compile (App (Abs… ),Fun ”a”),[])@[APP] = [LDC b, LDC a]@Compile (Abs (”x”, Abs (”y”, Var ”y”)),[])@[APP,APP]= [LDC b, LDC a]@[LDF(Compile(Abs ...
Lisp vs Scheme
Lisp vs Scheme

Constructive logic and type theory (lecture notes 2009)
Constructive logic and type theory (lecture notes 2009)

... calculus as a programming language. It has the unusual property that all programs terminate. To prove this formally is very complicated, see for instance (Hindley and Seldin 1986) for a proof concerning a simplified calculus. The fact that all programs terminate implies that a programming language i ...
Chapter 12 - Binus Repository
Chapter 12 - Binus Repository

CS-Intro-AI-LISP - Geometric and Intelligent Computing Laboratory
CS-Intro-AI-LISP - Geometric and Intelligent Computing Laboratory

... • In reality, both pointers to A point to the SAME symbol (i.e., the same exact mem location) • EQ: tests for memory location exactly, therefore, atoms only! • LISP automatically makes sure that all refs to some symbol actually point to the UNIQUE point in mem that the symbol happens to be stored ph ...
Lecture Notes
Lecture Notes

... While writing down algorithms, it is important to choose an underlying model of computation, i.e., to choose appropriate primitives to describe an algorithm. This choice determines the kind of computations that can be carried out in the model. For example, if our computational model consists of only ...
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Drexel-CS-Intro-AI-LISP
Drexel-CS-Intro-AI-LISP

Algol and Haskell
Algol and Haskell

Calculating Functional Programs - Research School of Computer
Calculating Functional Programs - Research School of Computer

... norm rather than the exception. There is clearly a need for more reliable methods of program construction than the traditional ad hoc methods in use today. What is needed is a science of programming, instead of today’s craft (or perhaps black art). As Jeremy Gunawardena points out [15], computation ...
type system is a tractable syntactic method for proving the absence
type system is a tractable syntactic method for proving the absence

... – Checking is done at compile or runtime – E.g., Java (static) and Scheme (dynamic) ...
functional form
functional form

... typeless) and has no type coercions • Includes exception handling and a module facility for implementing abstract data types • Includes lists and list operations ...
In: x - UCF Complex Adaptive Systems Laboratory
In: x - UCF Complex Adaptive Systems Laboratory

... – Hello.py import sys # import modules (functions) def main(): print ‘Hello there’, sys.argv[1] # to call the main() function if __name__==‘__main__’: main() – python hello.py arg1 arg2 arg3 … OR – ./hello.py arg1 arg2 arg3 … ...
ppt - Rensselaer Polytechnic Institute: Computer Science
ppt - Rensselaer Polytechnic Institute: Computer Science

... execute, providing for: – Faster prototyping (partial, incomplete programs can be tested) – Separate compilation---independently written modules can more easily interact--- which enables open software development – More expressiveness in language ...
CSE 142 Python Slides - Building Java Programs
CSE 142 Python Slides - Building Java Programs

... http://www.cs.washington.edu/143/ ...
Recursive Functions of Symbolic Expressions and Their Application
Recursive Functions of Symbolic Expressions and Their Application

Chapter 3
Chapter 3

... • Today, functional languages are very attractive for general programming – They lend themselves very well to parallel execution – May be more efficient than imperative languages on multicore hardware architectures – Have mature application libraries ...
Chapter 3
Chapter 3

< 1 ... 3 4 5 6 7 8 9 10 11 ... 28 >

Standard ML

Standard ML (SML) is a general-purpose, modular, functional programming language with compile-time type checking and type inference. It is popular among compiler writers and programming language researchers, as well as in the development of theorem provers.SML is a modern descendant of the ML programming language used in the Logic for Computable Functions (LCF) theorem-proving project. It is distinctive among widely used languages in that it has a formal specification, given as typing rules and operational semantics in The Definition of Standard ML (1990, revised and simplified as The Definition of Standard ML (Revised) in 1997).
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