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 ...
Functional programming languages
... Composition—the previous examples have used it: (cube (* 3 (+ 4 2))) Apply-to-all—Scheme has a function named mapcar that applies a function to all the elements of a list. The value returned by mapcar is a list of the results. ...
... Composition—the previous examples have used it: (cube (* 3 (+ 4 2))) Apply-to-all—Scheme has a function named mapcar that applies a function to all the elements of a list. The value returned by mapcar is a list of the results. ...
lectur15
... Composition—the previous examples have used it: (cube (* 3 (+ 4 2))) Apply-to-all—Scheme has a function named mapcar that applies a function to all the elements of a list. The value returned by mapcar is a list of the results. ...
... Composition—the previous examples have used it: (cube (* 3 (+ 4 2))) Apply-to-all—Scheme has a function named mapcar that applies a function to all the elements of a list. The value returned by mapcar is a list of the results. ...
LISP
... are bound variables, and all the other variables that appear in the body of the function are free variables. When a function is called any bindings that a bound variable may have in the global environment are saved and the variable is rebound to the calling parameter. After the function has complete ...
... are bound variables, and all the other variables that appear in the body of the function are free variables. When a function is called any bindings that a bound variable may have in the global environment are saved and the variable is rebound to the calling parameter. After the function has complete ...
CSP 506 Comparative Programming Languages
... • A static-scoped functional language with syntax that is closer to Pascal than to LISP • Uses type declarations, but also does type inferencing to determine the types of undeclared variables • It is strongly typed (whereas Scheme is essentially typeless) and has no type coercions • Includes excepti ...
... • A static-scoped functional language with syntax that is closer to Pascal than to LISP • Uses type declarations, but also does type inferencing to determine the types of undeclared variables • It is strongly typed (whereas Scheme is essentially typeless) and has no type coercions • Includes excepti ...
Functional Programming COMP2003
... What is lambda for: 1. When the function definition is specific to a particular situation, and so can be defined and used in just one place. Usually the motive for forming the computation into a function is that it is being passed in as argument to some other functions which will use that computati ...
... What is lambda for: 1. When the function definition is specific to a particular situation, and so can be defined and used in just one place. Usually the motive for forming the computation into a function is that it is being passed in as argument to some other functions which will use that computati ...
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 7 Recursion
... Perl contains the -calculus -Calculus (pronounced `lambda calculus') is a model of computation invented by Alonzo Church in 1934. It's analogous to Turing machines, but it's both simpler and more practical. Where the Turing machine is something like a model of assembly language, the -calculus i ...
... Perl contains the -calculus -Calculus (pronounced `lambda calculus') is a model of computation invented by Alonzo Church in 1934. It's analogous to Turing machines, but it's both simpler and more practical. Where the Turing machine is something like a model of assembly language, the -calculus i ...
Notes
... The type-checking rules for the lambda calculus are exactly what you’d expect from our study of ML: • A variable x has whatever type t is recorded in the current static environment for x. If the environment doesn’t have a type for x, then there is a type error (and x is free). • If e1 has type t → t ...
... The type-checking rules for the lambda calculus are exactly what you’d expect from our study of ML: • A variable x has whatever type t is recorded in the current static environment for x. If the environment doesn’t have a type for x, then there is a type error (and x is free). • If e1 has type t → t ...
Functional Programming
... 2. LIST? takes one parameter; it returns #T if the parameter is a list; otherwise() 3. NULL? takes one parameter; it returns #T if the parameter is the empty list; otherwise() Note that NULL? returns #T if the parameter is() 4. Numeric Predicate Functions ...
... 2. LIST? takes one parameter; it returns #T if the parameter is a list; otherwise() 3. NULL? takes one parameter; it returns #T if the parameter is the empty list; otherwise() Note that NULL? returns #T if the parameter is() 4. Numeric Predicate Functions ...
COMP 356 Programming Language Structures Notes for Chapter 15
... This works because each ei has no side effects, so the order they are evaluated in doesn’t matter. Additionally, all processors can share the same memory because it is only being read (not written). For a conditional expression: (if )
• all of , and can be evaluated sim ...
... This works because each ei has no side effects, so the order they are evaluated in doesn’t matter. Additionally, all processors can share the same memory because it is only being read (not written). For a conditional expression: (if
Lect 1
... 2. LIST? takes one parameter; it returns #T if the parameter is a list; otherwise() 3. NULL? takes one parameter; it returns #T if the parameter is the empty list; otherwise() Note that NULL? returns #T if the parameter is() 4. Numeric Predicate Functions ...
... 2. LIST? takes one parameter; it returns #T if the parameter is a list; otherwise() 3. NULL? takes one parameter; it returns #T if the parameter is the empty list; otherwise() Note that NULL? returns #T if the parameter is() 4. Numeric Predicate Functions ...
Document
... 2. LIST? takes one parameter; it returns #T if the parameter is a list; otherwise() 3. NULL? takes one parameter; it returns #T if the parameter is the empty list; otherwise() Note that NULL? returns #T if the parameter is() 4. Numeric Predicate Functions ...
... 2. LIST? takes one parameter; it returns #T if the parameter is a list; otherwise() 3. NULL? takes one parameter; it returns #T if the parameter is the empty list; otherwise() Note that NULL? returns #T if the parameter is() 4. Numeric Predicate Functions ...
Lambda-calculus. - UT Computer Science
... captures the “essence” of variable binding • Function parameters • Declarations • Bound variables can be renamed ...
... captures the “essence” of variable binding • Function parameters • Declarations • Bound variables can be renamed ...
Chapter_4
... x:xs patterns must be parenthesized, because application has priority over (:). For example, the following definition gives an error: head x:_ = x Hugs> hd [1, 2, 3] where hd x:_ = x ERROR - Syntax error in declaration (unexpected symbol ":") Hugs> hd [1, 2, 3] where hd (x:_) = x ...
... x:xs patterns must be parenthesized, because application has priority over (:). For example, the following definition gives an error: head x:_ = x Hugs> hd [1, 2, 3] where hd x:_ = x ERROR - Syntax error in declaration (unexpected symbol ":") Hugs> hd [1, 2, 3] where hd (x:_) = x ...
notes
... What is a program? Is it just something that tells the computer what to do? Yes, but there is much more to it than that. The basic expressions in a program must be interpreted somehow, and a program’s behavior depends on how they are interpreted. We must have a good understanding of this interpretat ...
... What is a program? Is it just something that tells the computer what to do? Yes, but there is much more to it than that. The basic expressions in a program must be interpreted somehow, and a program’s behavior depends on how they are interpreted. We must have a good understanding of this interpretat ...
Defining Functions
... tail, except that safetail maps the empty list to the empty list, whereas tail gives an error in this case. Define safetail using: (a) a conditional expression; ...
... tail, except that safetail maps the empty list to the empty list, whereas tail gives an error in this case. Define safetail using: (a) a conditional expression; ...
slides
... • Most common use: Argument to a higher-order function – Don’t need a name just to pass a function • But: Cannot use an anonymous function for a recursive function – Because there is no name for making recursive calls – If not for recursion, fun bindings would be syntactic sugar for val bindings and ...
... • Most common use: Argument to a higher-order function – Don’t need a name just to pass a function • But: Cannot use an anonymous function for a recursive function – Because there is no name for making recursive calls – If not for recursion, fun bindings would be syntactic sugar for val bindings and ...
Functional Languages
... Lambda expressions describe nameless functions Lambda expressions are applied to parameter(s) by placing the parameter(s) after the expression e.g. ((x) x * x * x)(3) which evaluates to 27 Dr. Muhammed Al-Mulhem ...
... Lambda expressions describe nameless functions Lambda expressions are applied to parameter(s) by placing the parameter(s) after the expression e.g. ((x) x * x * x)(3) which evaluates to 27 Dr. Muhammed Al-Mulhem ...
The λ – Calculus
... said to be bound in the sub-expression M 2. A bound variable is one whose name is the same as the parameter. Otherwise the variable is said to be free 3. Any variable not bound in M is said to be free Note: bound variables are placeholders just like function parameters in the imperative and OOP para ...
... said to be bound in the sub-expression M 2. A bound variable is one whose name is the same as the parameter. Otherwise the variable is said to be free 3. Any variable not bound in M is said to be free Note: bound variables are placeholders just like function parameters in the imperative and OOP para ...