Make procedure in Scheme by lambda - scheme

I am learning Scheme by 'Structure and Interpretation of Computer Programs'
In Chapter 1.3.2 Constructing Procedures Using lambda.
I understood lambda like this.
The value to match the lambda is written outside the parenthesis of the lambda.
((lambda (x) (+ x 4) 4) ; (x) is matched to 4, result is 8
But in SICP, another example code is different.
The code is :
(define (sum x y) (+ x y))
(define (pi-sum a b)
(sum (lambda (x) (/ 1.0 (* x (+ x 3))))
a
(lambda (x) (+ x 4))
b
))
(pi-sum 3 6)
I think if (lambda (x) (/ 1.0 (* x (+ x 3)))) want match to a, lambda and a must bound by parenthesis.
But in example code, don't use parenthesis.
When I run this code, error is occurs.
error is this :
***'sum: expects only 2 arguments, but found 4'***
When I use more parenthesis like this :
(define (sum x y) (+ x y))
(define (pi-sum a b)
(sum ((lambda (x) (/ 1.0 (* x (+ x 3))))
a)
((lambda (x) (+ x 4))
b)
))
(pi-sum 2 6) ; result is 10.1
Code is run.
I'm confused because of SICP's example code.
Am I right on the principle of lambda?
If I am right, why SICP write like that?

It says to use the sum from 1.3.1. On page 77 (actually starting on 77 and ending on 78) it looks like this:
(define (sum term a next b)
(if (> a b)
0
(+ (term a)
(sum term (next a) next b))))
As you can see it looks a lot different from your sum that just adds two number together. You also had a typo in pi-sum:
(define (pi-sum a b)
(sum (lambda (x) (/ 1.0 (* x (+ x 2)))) ; multiplied by 2, not 3!
a
(lambda (x) (+ x 4))
b))
(* 8 (pi-sum 1 1000))
; ==> 3.139592655589783
So the point here is that you can pass lambdas instead of named procedures. Since (define (name . args) body ...) is just syntax sugar for (define name (lambda args body ...)) passing (lambda args body ...) instead of defining it and pass a name is just an equal refactoring.
Parentheses around a variable (+) or a lambda ((lambda args body ...)) calls whatever procedure the operator expression evaluates. It is not what you want since you pass procedures to be used by sum as an abstraction. sum can do multiplications or any number of things based on what you pass. in sum term is the procedure (lambda (x) (/ 1.0 (* x (+ x 2)))) and you see it calls it as apart of its code.

Related

Racket: Trying to subtract numbers, getting list

I'm currently learning Racket/Scheme for a course (I'm not sure what's the difference, actually, and I'm not sure if the course covered that). I'm trying a basic example, implementing the Newton method to find a square root of a number; however, I ran into a problem with finding the distance between two numbers.
It seems that for whatever reason, when I'm trying to apply the subtraction operator between two numbers, it returns a list instead.
#lang racket
(define distance
(lambda (x y) (
(print (real? x))
(print (real? y))
(abs (- x y))
)
)
)
(define abs
(lambda x (
(print (list? x))
(if (< x 0) (- x) x)
)
)
)
(distance 2 5)
As you can see, I've added printing of the types of variables to make sure the problem is what I think it is, and the output of all those prints is #t. So:
In calling distance, x and y are both real.
In calling abs, x is a list.
So, the conclusion is that (- x y) returns a list, but why?
I double-checked with the documentation and it seems I'm using the subtraction operator correctly; I've typed (- 2 5) and then (real? (- 2 5)) into the same REPL I'm using to debug my program (Dr. Racket, to be specific), and I'm getting the expected results (-3 and #t, respectively).
Is there any wizard here that can tell me what kind of sorcery is this?
Thanks in advance!
How about this...
(define distance
(lambda (x y)
(print (real? x))
(print (real? y))
(abs (- x y))))
(define abs
(lambda (x) ;; instead of (lambda x ...), we are using (lambda (x) ...) form which is more strict in binding with formals
(print (list? x))
(if (< x 0) (- x) x)))
Read further about various lambda forms and their binding with formals.

Scheme: Proabably a typo in SICP. 1.3.2. Am I right?

In SICP, (1.3.2. page: 62), there is a solution for finding pi-sum using lambda. The solution is:
(define (pi-sum a b)
(sum (lambda (x) (/ 1.0 (* x (+ x 2))))
a
(lambda (x) (+ x 4))
b))
However, I feel there should be a bracket enclosing ((lambda (x) (+ x 4) b). The program as such produces an error saying sum is expecting a number but getting a procedure.
Modifying the above code is giving no error.
(define (pi-sum a b)
(sum ((lambda (x) (/ 1.0 (* x (+ x 2))))
a)
((lambda (x) (+ x 4))
b)))
Please correct me if my understanding is wrong. I assume the book cannot be wrong.
The pi-sum procedure in the book is making use of the higher-order procedure sum, defined earlier in 1.3.1. The sum procedure takes a and b as arguments which describe the bounds of the summation, and it takes term and next as arguments which describe how to create a term from a, and how to get the next a from the current a. Both term and next need to be procedures. Here is the definition of sum from the book:
(define (sum term a next b)
(if (> a b)
0
(+ (term a)
(sum term (next a) next b))))
If you add parentheses in the definition of pi-sum, you should get an exception because sum requires four arguments, but now only two are passed. I am not sure why you are getting an error like "sum is expecting a number but getting a procedure", but I suspect that you have a different definition for sum than the one intended by the book.

dont understood lambda expression on scheme

i try to realize what this expiration, and don't get it.
( lambda (a b) (lambda (x y) (if b (+ x y a) (-x y a)))
i think,
a is a number, and b is #t or #f,
on the if statement we ask if b is true, if yes return first expression(sum 3 numbers), else the second(Subtract 3 numbers)
what i need to write on Racket to run this?
i try
(define question( lambda (a b) (lambda (x y) (if b (+ x y a) (-x y a)))))
and than
(question 5 #f)
and nothing not going well in this language.
This is not a complete answer as I don't want to do your homework for you.
First of all formatting and indenting your code is going to help you in any programming language. You almost certainly have access to an editor which will do this. Below I've done this.
So, OK, what does a form like (λ (...) ...) denote? Well, its a function which takes some arguments (the first ellipsis) and returns the value of the last form in its body (the second ellipsis), or the only form in its body in a purely functional language.
So, what does:
(λ (a b)
(λ (x y)
...))
Denote? It's a function of two arguments, and it returns something: what is the thing it returns? Well, it's a form which looks like (λ (...) ...): you know what those forms mean already.
And finally we can fill out the last ellipsis (after correcting an error: (-x ...) is not the same as (- x ...)):
(λ (a b)
(λ (x y)
(if b
(+ x y a)
(- x y a))))
So now, how would you call this, and how would you make it do something interesting (like actually adding or subtracting some things)?
(lambda (a b) (lambda (x y) (if b (+ x y a) (- x y a))))
is a function that takes two arguments (that's what (lambda (a b) ...) says).
You can use the substitution method to discover what it produces.
Apply it to 5 and #f:
((lambda (a b) (lambda (x y) (if b (+ x y a) (- x y a)))) 5 #f)
[Replace a with 5 and b with #f in the body]:
(lambda (x y) (if #f (+ x y 5) (- x y 5)))
And this is a function that takes two numbers and produces a new number.
(Note that the #f and the 5 became fixed by the application of the outer lambda.)
It's easier to use the function if we name it (interactions from DrRacket):
> (define question (lambda (a b) (lambda (x y) (if b (+ x y a) (- x y a)))))
> (question 5 #f)
#<procedure>
which is as expected, based on the reasoning above.
Let's name this function as well:
> (define answer (question 5 #f))
and use it:
> (answer 3 4)
-6
or we could use it unnamed:
> ((question 5 #f) 3 4)
-6
or you could do it all inline, but that's a horrible unreadable mess:
> (((lambda (a b) (lambda (x y) (if b (+ x y a) (- x y a)))) 5 #f) 3 4)
-6

Racket: How to write foldl using foldr

I'm currently preparing for an exam and thought that writing foldl with foldr would be a nice question to get tested on.
Anyways, I know that (foldl f base lst) returns (f xn (f x(n-1) . . . (f x1 base)
with the lst being (x1 . . . xn)
So what I currently have is this:
(define (foldl/w/foldr f base lst)
(foldr (lambda (x y) (f y (f x base))) base lst)))
This doesn't quite work, and I am unsure on how to proceed.
Using Haskell's documentation as a starting point (as mentioned by #soegaard in the comments), here's a working solution for this problem, using Racket syntax:
(define (foldl/w/foldr f base lst)
((foldr (λ (ele acc) (λ (x) (acc (f ele x))))
identity
lst)
base))
For example:
(foldl/w/foldr cons '() '(1 2 3 4 5))
=> '(5 4 3 2 1)
(foldl/w/foldr + 0 '(1 2 3 4 5))
=> 15
The key to understand this is that we're accumulating lambdas with delayed computations, not values, and at the end we invoke all the chain of lambdas passing the base value to start the computation. Also notice that the identity procedure is used as the first accumulator, and we accumulate more lambdas on top of it. For instance, this call:
(foldl/w/foldr + 0 '(1 2))
Will be evaluated as follows:
((lambda (x) ; this lambda is the value returned by foldr
((lambda (x)
(identity (+ 1 x))) ; add first element in the list (this gets executed last)
(+ 2 x))) ; add second element in the list (this gets executed first)
0) ; at the end, we invoke the chain of lambdas starting with the base value
=> 3
I am not a Lisp programmer, so this maybe not syntactically perfect, but it will be something like
foldl f a l = (foldr (lambda (h p) (lambda (x) (p (f x h))) )
l
(lambda (x) (x))
a))
The trick is to accumulate function instead of result value. I am applying four arguments to foldr, because in this case regular foldr returns function, that will take "a" as an argument.

Why Scheme requires apply in Y-combinator implementation, but Racket doesn't?

Here is the Y-combinator in Racket:
#lang lazy
(define Y (λ(f)((λ(x)(f (x x)))(λ(x)(f (x x))))))
(define Fact
(Y (λ(fact) (λ(n) (if (zero? n) 1 (* n (fact (- n 1))))))))
(define Fib
(Y (λ(fib) (λ(n) (if (<= n 1) n (+ (fib (- n 1)) (fib (- n 2))))))))
Here is the Y-combinator in Scheme:
(define Y
(lambda (f)
((lambda (x) (x x))
(lambda (g)
(f (lambda args (apply (g g) args)))))))
(define fac
(Y
(lambda (f)
(lambda (x)
(if (< x 2)
1
(* x (f (- x 1))))))))
(define fib
(Y
(lambda (f)
(lambda (x)
(if (< x 2)
x
(+ (f (- x 1)) (f (- x 2))))))))
(display (fac 6))
(newline)
(display (fib 6))
(newline)
My question is: Why does Scheme require the apply function but Racket does not?
Racket is very close to plain Scheme for most purposes, and for this example, they're the same. But the real difference between the two versions is the need for a delaying wrapper which is needed in a strict language (Scheme and Racket), but not in a lazy one (Lazy Racket, a different language).
That wrapper is put around the (x x) or (g g) -- what we know about this thing is that evaluating it will get you into an infinite loop, and we also know that it's going to be the resulting (recursive) function. Because it's a function, we can delay its evaluation with a lambda: instead of (x x) use (lambda (a) ((x x) a)). This works fine, but it has another assumption -- that the wrapped function takes a single argument. We could just as well wrap it with a function of two arguments: (lambda (a b) ((x x) a b)) but that won't work in other cases too. The solution is to use a rest argument (args) and use apply, therefore making the wrapper accept any number of arguments and pass them along to the recursive function. Strictly speaking, it's not required always, it's "only" required if you want to be able to produce recursive functions of any arity.
On the other hand, you have the Lazy Racket code, which is, as I said above, a different language -- one with call-by-need semantics. Since this language is lazy, there is no need to wrap the infinitely-looping (x x) expression, it's used as-is. And since no wrapper is required, there is no need to deal with the number of arguments, therefore no need for apply. In fact, the lazy version doesn't even need the assumption that you're generating a function value -- it can generate any value. For example, this:
(Y (lambda (ones) (cons 1 ones)))
works fine and returns an infinite list of 1s. To see this, try
(!! (take 20 (Y (lambda (ones) (cons 1 ones)))))
(Note that the !! is needed to "force" the resulting value recursively, since Lazy Racket doesn't evaluate recursively by default. Also, note the use of take -- without it, Racket will try to create that infinite list, which will not get anywhere.)
Scheme does not require apply function. you use apply to accept more than one argument.
in the factorial case, here is my implementation which does not require apply
;;2013/11/29
(define (Fact-maker f)
(lambda (n)
(cond ((= n 0) 1)
(else (* n (f (- n 1)))))))
(define (fib-maker f)
(lambda (n)
(cond ((or (= n 0) (= n 1)) 1)
(else
(+ (f (- n 1))
(f (- n 2)))))))
(define (Y F)
((lambda (procedure)
(F (lambda (x) ((procedure procedure) x))))
(lambda (procedure)
(F (lambda (x) ((procedure procedure) x))))))

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