Transcript Functional Programming & Standard ML

Functional Programming &
Standard ML
Hossein Hojjat et al.
1
By doing it mathematically, you provide a
firm foundation which will enable people
to go further.
Robin Milner,
Turing Award Lecturer(1991) and the ML designer
2
Outline
•
•
•
•
•
•
•
Introduction
Why functional programming?
Some History
Standard ML
ML Syntax
Programming in Standard ML
Some Good References
3
Introduction
4
Introduction
• We use a zillion different
programming languages:
• general purpose
programming: Fortran, Lisp, Basic,
C, Pascal, C++, Java, etc.
• scripting: Visual Basic, awk, sed,
perl, tcl, sh, csh, bash, REXX,
Scheme, etc.
• search: regular expressions,
browser queries, SQL, etc.
5
Introduction
• display and rendering: PostScript,
HTML, XML, VRML, etc.
• hardware: SystemC, VHDL,
Esterelle
• theorem proving and
mathematics: Mathematica, Maple,
Matlab, NuPRL, Coq
• others?
6
Introduction
• ML is very different from what most
of us have seen: it is functional
• Before considering ML, we will
summarize the imperative
languages properties
7
Introduction
8
Introduction
• Design of imperative languages is
based directly on the von Neumann
architecture
9
Introduction
• Programs in imperative languages
rely heavily on modifying the
values of a collection of variables,
called the state
• Before execution, the state has
some initial value σ
• During execution, each command
changes the state
   0   1   2  ...   n   '
10
Introduction
• Example:
– In a sorting program, the state initially
includes an array of values
• When the program has finished, the
state has been modified in such a
way that these values are sorted
• Intermediate states represent
progress towards this goal
11
Introduction
• The state is typically modified by
assignment commands
• By using control structures, one can
execute these commands
conditionally, or repeatedly,
depending on other properties of
the current state
12
Introduction
• But …
13
Introduction
• Functional programs don’t use
variables - there is no state
• Therefore they cannot use
assignments : there is nothing to
assign to
14
Introduction
• The idea of executing commands in
sequence is meaningless
• The first command can make no
difference to the second : there are
not any state between them
• They are based on Mathematical
functions
15
Introduction
• Functions can be treated in exactly
the same way as simpler objects
like integers
• They can be passed to other
functions as arguments and
returned as results
• Most traditional languages provide
poor facilities in these areas
16
Introduction
• Instead of sequencing and looping,
functional languages use recursive
functions
17
Introduction
• Example:
f(n) =
1
if n=1
f(5*n-1) if n is odd, n≠1
f(n/4-3) if n is even
• Question: You said there are not
any variables, but what about “n”?
18
Introduction
• “n” is an identifier
• In a Functional Language, the
identifier bind to values
• Variable is something that can
be assigned a value
• Functions have no side effect
– They do not update any
variables
– It is easy to define the semantics
19
Introduction
• Haskell is an example of a pure
functional language.
• Haskell is, as of 2002, the
functional language on which the
most research is being performed.
• ML is not a pure functional
language in that it is possible to
write procedural programs (with
assignments and side-effects)
20
Why Functional Programming?
21
Why Functional Programming?
The von Neumann
bottleneck
• Backus' famous paper encouraged
much interest in functional
languages as a means of breaking
the von-Neumann bottleneck
22
Why Functional Programming?
• Von Neumann bottleneck: pumping
single words back and forth between
CPU and store
• Task of a program: change store in some
major way.
• It has kept us tied to word-at-a-time
thinking instead of of encouraging us to
think in terms of the larger conceptual
units of the task at hand.
23
Why Functional Programming?
• The assignment statement is the
von Neumann bottleneck of
programming languages
• Pure functional programming
languages remove state and
assignments
• Concurrency possible: order of
evaluation doesn’t matter
24
Why Functional Programming?
25
Why Functional Programming?
• System is referentially
transparent if, in a fixed context,
the meaning of the whole can be
determined solely by the meaning
of its parts.
• Independent of the surrounding
expression.
26
Why Functional Programming?
• Do we have such property in
imperative languages?
• If the function has side-effects
(updating a global variable, doing
input or output), then f(3) + f(3) may
not be the same as 2 * f(3).
– The second f(3) has a different
meaning than the rst
27
Why Functional Programming?
• Purely declarative languages
guarantee referential transparency
• It makes it easier to understand
how a program works
28
Why Functional Programming?
• Many features of imperative
languages have arisen by a
process of abstraction from typical
computer hardware
• Perhaps the right approach is not to
start from the hardware and work
upwards
29
Why Functional Programming?
• “Start with programming
languages as an abstract notation
for specifying algorithms and then
work down to the hardware.”
(Dijkstra 1976)
30
Why Functional Programming?
• Makes programming into an
engineering discipline rather than a
trial-and-error process
• The Formalism Principle:
“Correctness should be confirmed
by reasoning and not by
experiment”- Marjan Sirjani
31
Why Functional Programming?
• As a matter of fact, it is unlikely that
programmers will have the patience
to perform such proofs: the proofs
are usually long and boring
32
• “Beware of bugs in the above code;
I have only proved it correct, not
tried it.” ,Donald Knuth
33
Why Functional Programming?
• Functional Programming is an area
of current research
• ACM Conference on LISP and
Functional Programming
34
Some History
35
Some History
• 1940s:
– Alonzo Church and Haskell Curry
developed the lambda calculus, a
simple but powerful mathematical
theory of functions.
36
Some History
• Alonzo Church is a famous
computer scientist
• He had many doctoral students ,
such as Stephen C. Kleene or Alan
Turing
37
Some History
• 1960s:
– John McCarthy developed Lisp, the
first functional language. Some
influences from the lambda calculus,
but still retained variable assignments.
38
Some History
• 1978:
– John Backus publishes award
winning article on FP, a functional
language that emphasizes higherorder functions and calculating with
programs.
39
Some History
• Mid 1970s:
– Robin Milner develops ML, the first of
the modern functional languages,
which introduced type inference and
polymorphic types.
40
Some History
• Late 1970s - 1980s:
– David Turner develops a number of
lazy functional languages leading up
to Miranda, a commercial product.
• 1988:
– A committee of prominent researchers
publishes the first definition of Haskell,
a standard lazy functional language.
41
Some History
• 1999:
– The committee publishes the definition
of Haskell 98, providing a longawaited stable version of the
language.
42
Standard ML
43
Standard ML
• Historically, ML stands for
metalanguage
• General-purpose functional
programming language
• Developed by Robin Milner and
others in the late 1970s at
Edinburgh University
44
Standard ML
• In 1969 Dana Scott introduced LCF,
his Logic for Computable Functions
• It was a core higher-order call-byname functional programming
language with arithmetic, booleans
and recursion at all types
• That lead to Milner et al's LCF system
and then the programming language
ML
45
ML Syntax
• A program in ML, like any other
language, is made up of various
kinds of expressions.
46
ML Syntax
syntactic class
syntactic variable(s) and grammar rule(s)
examples
x, y
a, x, y, x_y, ...
constants
c
...~2, ~1, 0, 1, 2 (integers)
1.0, ~0.001, 3.141 (reals)
true, false (booleans)
"hello", "", "!" (strings)
#"A", #" " (characters)
unary operator
u
~, not, size, ...
binary operators
b
+, *, -, >, <, >=, <=, ^, ...
expressions
(terms)
e ::= x | c | u e | e1 b e2 | if e then e else e |
let d1...dn in e end | e (e1, ..., en)
foo, ~0.001, not b, 2 + 2,
declarations
d ::= val x = e | fun y (x1:t1, ..., xn:tn): t = e
val one = 1
fun square(x: int): int
t ::= int | real | bool | string | char | t1*...*tn->t
int, string, int->int, bool*int>bool
identifiers
types
Adapted from Cornell lectures
47
Programming in Standard ML
• Example: A simple function declaration
that computes the absolute value of a
real number:
48
Programming in Standard ML
• The SML prompt lets you type either a
term or a declaration that binds a
variable to a term
• Running an ML program is just
evaluating a term
– The ML evaluator takes the left-most
expression that is not a value and reduces it
to some simpler expression. Eventually the
whole expression is a value and then
evaluation stops: the program is done
49
Programming in Standard ML
• For example consider evaluating
abs(2.0+1.0):
abs(2.0+1.0) →
abs(3.0) →
if 3.0 < 0.0 then ~3.0 else 3.0 →
if false then ~3.0 else 3.0 →
3.0
50
Programming in Standard ML
• The let expression works by:
– Evaluating all of its bindings.
– Those bindings are substituted into
the body of the let expression (the
expression in between in...end)
• Example:
let val x = 1+4 in x*3 →
let val x = 5 in x*3 →
5*3 → 15
51
Programming in Standard ML
• Rather big example…
52
Programming in Standard ML
53
Some Good References
• Functional Programming Using
Standard ML : Ake Wikstrom
• Introduction to Functional
Programming : John Harrison
• Introduction to Standard ML,Robert
Harper
• Cornell CS312 lectures
• And lots more …
54
Any Questions ?!
55