Chapter 12 - Binus Repository
... A functional form that takes a list of functions as parameters and yields a list of the results of applying each of its parameter functions to a given parameter Form: [f, g] For f (x) x * x * x and g (x) x + 3, [f, g] (4) yields (64, 7) 3. Apply-to-all A functional form that takes a single funct ...
... A functional form that takes a list of functions as parameters and yields a list of the results of applying each of its parameter functions to a given parameter Form: [f, g] For f (x) x * x * x and g (x) x + 3, [f, g] (4) yields (64, 7) 3. Apply-to-all A functional form that takes a single funct ...
Logic Programming
... • The basic process of computation is fundamentally different in a FPL than in an imperative language – In an imperative language, operations are done and the results are stored in variables for later use – Management of variables is a constant concern and source of complexity for imperative program ...
... • The basic process of computation is fundamentally different in a FPL than in an imperative language – In an imperative language, operations are done and the results are stored in variables for later use – Management of variables is a constant concern and source of complexity for imperative program ...
08 – Functional Paradigm and Scheme
... That implies that there is no persistent state information – that is, there are no variables. Instead, there are only values and identifiers for constants. We can assign a value into an identifier, but we cannot change it. Thus, functional languages are sometimes called single assignment. The lack o ...
... That implies that there is no persistent state information – that is, there are no variables. Instead, there are only values and identifiers for constants. We can assign a value into an identifier, but we cannot change it. Thus, functional languages are sometimes called single assignment. The lack o ...
Python for Joe Cross
... for _ in xrange(n): velocities = [rndV() for i in xrange(6)] r,g,b = [rndC() for i in xrange(3)] mainParticle = velocities[:3] + [r,g,b] secondParticle = velocities[3:] + [r,g,b] ...
... for _ in xrange(n): velocities = [rndV() for i in xrange(6)] r,g,b = [rndC() for i in xrange(3)] mainParticle = velocities[:3] + [r,g,b] secondParticle = velocities[3:] + [r,g,b] ...
bYTEBoss control
... • Avoid explicit jumps except for function return • Cannot jump into middle of block or function body ...
... • Avoid explicit jumps except for function return • Cannot jump into middle of block or function body ...
Structure of Programming Languages – Lecture 6
... form of normal functions. In scheme, this includes: Control statements Definition forms. Two functions for which we need lazy evaluation. ...
... form of normal functions. In scheme, this includes: Control statements Definition forms. Two functions for which we need lazy evaluation. ...
Two classes of Boolean functions for dependency analysis
... Given a list of numbers as a first argument and a variable as a second argument, quicksort will terminate and bind the variable to the sorted permutation of the list. Given a variable as first argument and a list of numbers as second argument, whenever quicksort succeeds, the variable will be bound ...
... Given a list of numbers as a first argument and a variable as a second argument, quicksort will terminate and bind the variable to the sorted permutation of the list. Given a variable as first argument and a list of numbers as second argument, whenever quicksort succeeds, the variable will be bound ...
Lect_8_9
... lambda expressions can be used to give a formal meaning to functions using currying add x y = x+y means add = \x -> (\y -> x+y) ...
... lambda expressions can be used to give a formal meaning to functions using currying add x y = x+y means add = \x -> (\y -> x+y) ...
Theorems for free! - Computing Science
... extent by Sheeran [She89]. So there is reason to believe that further research will further extend the applicability of this method. Many functional languages, including Standard ML [Mil84, Mil87], Miranda1 [Tur85], and Haskell [HW88], are based on the Hindley/Milner type system [Hin69, Mil78, DM82] ...
... extent by Sheeran [She89]. So there is reason to believe that further research will further extend the applicability of this method. Many functional languages, including Standard ML [Mil84, Mil87], Miranda1 [Tur85], and Haskell [HW88], are based on the Hindley/Milner type system [Hin69, Mil78, DM82] ...
X - Rensselaer Polytechnic Institute: Computer Science
... • Defines what are the legal programs, i.e. programs that can be executed by a machine (interpreter) • Syntax is defined by grammar rules • A grammar defines how to make ‘sentences’ out of ...
... • Defines what are the legal programs, i.e. programs that can be executed by a machine (interpreter) • Syntax is defined by grammar rules • A grammar defines how to make ‘sentences’ out of ...
COND - Unicauca
... • The design of the functional languages is based on mathematical functions – A solid theoretical basis that is also closer to the user, but relatively unconcerned with the architecture of the machines on which programs ...
... • The design of the functional languages is based on mathematical functions – A solid theoretical basis that is also closer to the user, but relatively unconcerned with the architecture of the machines on which programs ...
Functionalprogramming
... This uniformity of data and programs gives functional programming languages their flexibility and expressive power: programs can be manipulated as data. A one-page interpreter of Lisp in Lisp was the basis of a first ever bootstrapping implementation of a programming language (a very powerful ...
... This uniformity of data and programs gives functional programming languages their flexibility and expressive power: programs can be manipulated as data. A one-page interpreter of Lisp in Lisp was the basis of a first ever bootstrapping implementation of a programming language (a very powerful ...
The Conception, Evolution, and Application of Functional
... a derivation is usually far less than satisfactory, since the purely functional subset of most imperative languages is hopelessly weak (although there are important exceptions, such as Scheme [RCe86]). Rather than saying, then, what functional languages don’t have, it is better to characterize them ...
... a derivation is usually far less than satisfactory, since the purely functional subset of most imperative languages is hopelessly weak (although there are important exceptions, such as Scheme [RCe86]). Rather than saying, then, what functional languages don’t have, it is better to characterize them ...
A static analysis for Bulk Synchronous Parallel ML to avoid
... in this case the execution time will not follow the formula (2). The cost of an expression will then depend on its context. The cost model will no more be compositional. We could also choose that process 0 broadcasts the expression (bcast 0 vec) and that all processes evaluate it. In this case the e ...
... in this case the execution time will not follow the formula (2). The cost of an expression will then depend on its context. The cost model will no more be compositional. We could also choose that process 0 broadcasts the expression (bcast 0 vec) and that all processes evaluate it. In this case the e ...
functional form
... • The basic process of computation is fundamentally different in a FPL than in an imperative language – In an imperative language, operations are done and the results are stored in variables for later use – Management of variables is a constant concern and source of complexity for imperative program ...
... • The basic process of computation is fundamentally different in a FPL than in an imperative language – In an imperative language, operations are done and the results are stored in variables for later use – Management of variables is a constant concern and source of complexity for imperative program ...
Chapter 15 Functional Programming Languages
... 3. Apply-to-all A functional form that takes a single function as a parameter and yields a list of values obtained by applying the given function to each element of a list of parameters Form: α For h (x) ≡ x * x * x α ( h, (3, 2, 4)) yields (27, 8, 64) This looks like map( ) ...
... 3. Apply-to-all A functional form that takes a single function as a parameter and yields a list of values obtained by applying the given function to each element of a list of parameters Form: α For h (x) ≡ x * x * x α ( h, (3, 2, 4)) yields (27, 8, 64) This looks like map( ) ...
Chapter 15 Functional Programming Languages
... - Data object types: originally only atoms and lists - List form: parenthesized collections of sublists and/or atoms e.g., (A B (C D) E) - Originally, LISP was a typeless language - LISP lists are stored internally as single-linked lists Note: Many students despise LISP because of the number of pare ...
... - Data object types: originally only atoms and lists - List form: parenthesized collections of sublists and/or atoms e.g., (A B (C D) E) - Originally, LISP was a typeless language - LISP lists are stored internally as single-linked lists Note: Many students despise LISP because of the number of pare ...
PPT
... Evolved from B, which was based on BCPL • B was an untyped language; C adds some checking ...
... Evolved from B, which was based on BCPL • B was an untyped language; C adds some checking ...