Chapter 14 Functional Programming Languages
... 2. The values of the parameters are substituted into the function body 3. The function body is evaluated 4. The value of the last expression in the body is the value of the function (Special forms use a different evaluation process) ...
... 2. The values of the parameters are substituted into the function body 3. The function body is evaluated 4. The value of the last expression in the body is the value of the function (Special forms use a different evaluation process) ...
LISP
... 10. The representation of LISP programs as LISP data that can be manipulated by object programs. This has prevented the separation between system programmers and application programmers. Everyone can “improve” his LISP, and many of these improvements have developed into “improvements” to the languag ...
... 10. The representation of LISP programs as LISP data that can be manipulated by object programs. This has prevented the separation between system programmers and application programmers. Everyone can “improve” his LISP, and many of these improvements have developed into “improvements” to the languag ...
ML Basics
... Higher-Order Functions • A function that takes a function as argument and/or returns a function as result is called a higher-order function or a functional. • ML/Scheme treat functions as first-class (primitive) values. – Can be supplied as input to functions. » Not allowed in Ada. ...
... Higher-Order Functions • A function that takes a function as argument and/or returns a function as result is called a higher-order function or a functional. • ML/Scheme treat functions as first-class (primitive) values. – Can be supplied as input to functions. » Not allowed in Ada. ...
Chapter 1
... 2. Apply to All - one form in Scheme is mapcar - Applies the given function to all elements of the given list; result is a list of the results ...
... 2. Apply to All - one form in Scheme is mapcar - Applies the given function to all elements of the given list; result is a list of the results ...
Haskell Summary Functions • A function takes 1 or more parameter
... Although it may seem that a function composition operator (◦ in math and . in Haskell) should Examples: play a major role in functional programming, this operator only contributes as a shortcut when odd n = not (even n) defining functions: f ◦ g (read as “f composed with g”) is identical to defining ...
... Although it may seem that a function composition operator (◦ in math and . in Haskell) should Examples: play a major role in functional programming, this operator only contributes as a shortcut when odd n = not (even n) defining functions: f ◦ g (read as “f composed with g”) is identical to defining ...
Spark
... Allow apps to keep working sets in memory for efficient reuse Retain the attractive properties of MapReduce >> Fault tolerance, data locality, scalability ...
... Allow apps to keep working sets in memory for efficient reuse Retain the attractive properties of MapReduce >> Fault tolerance, data locality, scalability ...
CITS3211 FUNCTIONAL PROGRAMMING 5. Higherorder functions
... − e.g. by naming an explicit constant − this gives concise programs and reusable code − it’s better to write one program and use it ten times than it is to write ten slightlydifferent programs Consider asc’sort, which sorts a list into ascending order asc’sort :: Ord a => [a] > [a] ...
... − e.g. by naming an explicit constant − this gives concise programs and reusable code − it’s better to write one program and use it ten times than it is to write ten slightlydifferent programs Consider asc’sort, which sorts a list into ascending order asc’sort :: Ord a => [a] > [a] ...
08 – Functional Paradigm and Scheme
... since the output of the “=” function is already the appropriate T/F value. We can also write functions that compute numeric answers. For example, here is a function that computes the sum of squares of two inputs: (define (sumOfSquares x y) (+ (* x x) (* y y))) If we call this function with (sumOfSqu ...
... since the output of the “=” function is already the appropriate T/F value. We can also write functions that compute numeric answers. For example, here is a function that computes the sum of squares of two inputs: (define (sumOfSquares x y) (+ (* x x) (* y y))) If we call this function with (sumOfSqu ...
2. Functional Programming
... The "Read-eval-print" loop provides user interaction: an expression is read, evaluated by evaluating the arguments first and then the function/operator is called after which the result is printed Input: 9 Output: 9 Input:(+ 3 4) Output: 7 Input:(+ (* 2 3) 1) Output: 7 User can load a program from a ...
... The "Read-eval-print" loop provides user interaction: an expression is read, evaluated by evaluating the arguments first and then the function/operator is called after which the result is printed Input: 9 Output: 9 Input:(+ 3 4) Output: 7 Input:(+ (* 2 3) 1) Output: 7 User can load a program from a ...
overview on declarative programming
... Hiding implementation details can be considered a handicap for programmers because access to low-level details provides a high degree of flexibility. However, a lot of flexibility implies a lot of potential for errors, and, more importantly, less potential for abstraction. For example, we can write ...
... Hiding implementation details can be considered a handicap for programmers because access to low-level details provides a high degree of flexibility. However, a lot of flexibility implies a lot of potential for errors, and, more importantly, less potential for abstraction. For example, we can write ...