CMSC330 Summer 2010—Midterm #2
... You can assume that the elements of the lists can be compared using = or ==, but the functions should be polymorphic. You may only use basic functional OCaml (no modules allowed!). You may also write helper functions if necessary. let rec contains x s = match s with [ ] –> false | h::t –> (x = h) || ...
... You can assume that the elements of the lists can be compared using = or ==, but the functions should be polymorphic. You may only use basic functional OCaml (no modules allowed!). You may also write helper functions if necessary. let rec contains x s = match s with [ ] –> false | h::t –> (x = h) || ...
Functional Programming, an introduction
... detailed tuning of a low-level algorithm, an imperative language like C would probably be a better choice than Haskell, exactly because it provides more intimate control over the exact way in which the computation is carried out. ...
... detailed tuning of a low-level algorithm, an imperative language like C would probably be a better choice than Haskell, exactly because it provides more intimate control over the exact way in which the computation is carried out. ...
Example
... of one set, called the domain set, to another set, called the range set • A lambda expression (nameless function) specifies the parameter(s) and the mapping of a function in the following form (x) x * x * x for the function cube (x) = x * x * x • Lambda expressions are applied to parameter(s) by pl ...
... of one set, called the domain set, to another set, called the range set • A lambda expression (nameless function) specifies the parameter(s) and the mapping of a function in the following form (x) x * x * x for the function cube (x) = x * x * x • Lambda expressions are applied to parameter(s) by pl ...
Functional Programming
... that are often missing in imperative languages: – First-class function values: the ability of functions to return newly constructed functions – Higher-order functions : functions that take other functions as input parameters or return functions. – Polymorphism: the ability to write functions that op ...
... that are often missing in imperative languages: – First-class function values: the ability of functions to return newly constructed functions – Higher-order functions : functions that take other functions as input parameters or return functions. – Polymorphism: the ability to write functions that op ...
A Tutorial Introduction to the Lambda Calculus
... are substituted by y in the expression to the right. The names of the arguments in function definitions do not carry any meaning by themselves. They are just “place holders”, that is, they are used to indicate how to rearrange the arguments of the function when it is evaluated. Therefore ...
... are substituted by y in the expression to the right. The names of the arguments in function definitions do not carry any meaning by themselves. They are just “place holders”, that is, they are used to indicate how to rearrange the arguments of the function when it is evaluated. Therefore ...
Theoretical Elements in Computer Science Research and Paper
... var a; //The value of a is undefined; ...
... var a; //The value of a is undefined; ...
Functional Programming
... Pro: promotes building more complex functions from other functions that serve as building blocks (component reuse) Pro: behavior of functions defined by the values of input ...
... Pro: promotes building more complex functions from other functions that serve as building blocks (component reuse) Pro: behavior of functions defined by the values of input ...
Chapter 11 slides
... the letter λ—hence the notation’s name. – Lambda calculus was the inspiration for functional programming – one uses it to compute by substituting parameters into expressions, just as one computes in a high level functional program by passing arguments to functions ...
... the letter λ—hence the notation’s name. – Lambda calculus was the inspiration for functional programming – one uses it to compute by substituting parameters into expressions, just as one computes in a high level functional program by passing arguments to functions ...
The Bridge between Mathematical Models of Physics and Generic
... science and later type theory. The latter started to develop in parallel from avoiding the Russell paradox in logic systems. Hilbert’s student Haskell Curry come to the observation that propositions correspond to types and proofs of those propositions to programs inhabiting the corresponding types; ...
... science and later type theory. The latter started to develop in parallel from avoiding the Russell paradox in logic systems. Hilbert’s student Haskell Curry come to the observation that propositions correspond to types and proofs of those propositions to programs inhabiting the corresponding types; ...
unit 8 - WordPress.com
... forms and functions. Arguments to functions are always passed by sharing and are evaluated before they are passed (i.e., in applicative order). Arguments to special forms are passed unevaluated¡ªin other words, by name. Each special form is free to choose internally when (and if) to evaluate its par ...
... forms and functions. Arguments to functions are always passed by sharing and are evaluated before they are passed (i.e., in applicative order). Arguments to special forms are passed unevaluated¡ªin other words, by name. Each special form is free to choose internally when (and if) to evaluate its par ...
COMP 356 Programming Language Structures Notes for Chapter 15
... • “variables” don’t change their values • no side effects Consequences of no mutation: • no assignment statements • no loops • all parameters are passed by value • referential transparency – the same expression always evaluates to the same value. Note that this is not true in imperative languages su ...
... • “variables” don’t change their values • no side effects Consequences of no mutation: • no assignment statements • no loops • all parameters are passed by value • referential transparency – the same expression always evaluates to the same value. Note that this is not true in imperative languages su ...
functional form
... A list comprehension is a syntactic construct available in some programming languages for creating a list based on existing lists. It follows the form of the mathematical set-builder notation (set comprehension) as distinct from the use of map and filter functions. ...
... A list comprehension is a syntactic construct available in some programming languages for creating a list based on existing lists. It follows the form of the mathematical set-builder notation (set comprehension) as distinct from the use of map and filter functions. ...
Collection
... • How do we formally define its interface? • What kinds of problems does it help us solve? • In what ways might we implement it? • What are the benefits and costs of each implementation? ...
... • How do we formally define its interface? • What kinds of problems does it help us solve? • In what ways might we implement it? • What are the benefits and costs of each implementation? ...
Functional Programming www.AssignmentPoint.com In computer
... well-founded recursion and are strongly normalizing (nonterminating computations can be expressed only with infinite streams of values called codata). As a consequence, these languages fail to be Turing complete and expressing certain functions in them is impossible, but they can still express a wid ...
... well-founded recursion and are strongly normalizing (nonterminating computations can be expressed only with infinite streams of values called codata). As a consequence, these languages fail to be Turing complete and expressing certain functions in them is impossible, but they can still express a wid ...