How to optimize this recursion function? - recursion

This is really similar to Fibonacci Sequence problem. I understand the DP optimization with Fibonacci function using the for loop, but I'm having hard time to connect to this problem.
The recursion function I want to optimize is:
def cal(n):
if n <= 0:
return 1
else:
return cal(n-25)+cal(n-26)

Something like this may help:
(It's inspired by previous post)
from functools import cache
#cache
def cal(n):
if n <= 0:
return 1
else:
return cal(n-25) + cal(n-26)
print(cal(100))

The idea of a "for loop optimization" is that we calculate cal(0), cal(1), cal(2), ... consecutively. And when we want cal(n), we already have cal(n-25) and cal(n-26) stored in an array.
So, the following solution has linear complexity for non-negative n:
def cal(n):
mem = [1] # cal(0) is 1
for i in range(1, n + 1):
num = 1 if i - 25 < 0 else mem[i - 25]
num += 1 if i - 26 < 0 else mem[i - 26]
mem.append (num)
return mem[-1]
One can further optimize to make all the values cal(1), cal(2), ..., cal(n) globally available after calculating the last of them.

Related

how to find how many times does something appears in a list recursively (python)

imagine if i had a list ([1,2,2,3,2]) and i want to find how many times does the number 2 appear in the list, how would i do it recursively, do i set my counter to 0 in my base case? How do i make the list count my desired item.
def rc_count(L, x):
if len(L)==0:
n=0
return n
else:
rc_count(L[1:], x)
if L[0]==x:
n+=1
return n
it says local variable n referenced before assignment so where should i put my counter
I do not really se the reason for this recursive function. However this is how you would do it:
def rc_count(l,x):
n = 0
if not l:
return n
else:
n = re(l[1:], x)
if l[0] == x:
n+=1
return n
Here rc_count([1,2,2,2,2,3,4,5],2) will return 4

Sum of the digits of a number?

I am a newbie to programming .here I have been solving a simple problem in functional programming (OZ) which is finding the sum of the Digits of a 6 digit positive integer.
Example:- if n = 123456 then
output = 1+2+3+4+5+6 which is 21.
here I found a solution like below
fun {SumDigits6 N}
{SumDigits (N Div 1000) + SumDigits (N mod 1000)}
end
and it says the argument (N Div 1000) gives first 3 digits and the argument (N mod 1000) gives us last 3 digits. and yes I getting the correct solution but my Doubt is how could they giving correct solutions. I mean in given example isn't (N Div 1000) of 123456 gives 123 right not 1+2+3 and similarly (N mod 1000) of123456 gives us 456 not 4+5+6 right ?. in that case, the answer should be 123+456 which is equals to 579 not 21 right ? what Iam missing here.I apologize for asking such simple question but any help would be appreciated.
Thank you :)
You are missing the most important thing here.
It is supposed to happen in a loop and each time the value of N changes.
For example
in the first iteration
the Div gives 1 and mod gives 6 so you add 1 and 6 and store the result and the number is also modified (it becomes 2345)
in the second iteration
the div gives 2 and mod gives 5 you add 2+5+previous result and the number is also modified..
This goes on till the number becomes zero
Your function is recursive, so every time the number get smaller, untill is just 0, then it goes back summing all the partial result. You can do it with an accumulator to store the result, in this simple way:
declare
fun {SumDigit N Accumulator}
if N==0 then Accumulator
else {SumDigit (N div 10) Accumulator+(N mod 10)}
end
end
{Browse {SumDigit 123456 0}}
i think the most elegant way is the function --
static int SumOfDigit(int n)
{
if (n < 10) return n;
return SumOfDigit(SumOfDigit(n/10)+n%10);
}
simple and true :-)
int main()
{
int n,m,d,s=0;
scanf("%d",&n);
m=n;
while(m!=0)
{
d=m%10;
s=s+d;
m=m/10;
}
printf("Sum of digits of %d is %d",n,s);
}

how to compute a%b recursively?

I need to write a recursive function that returns the remainder of two numbers. Here's what I wrote:
def remainder(a,b):
if a==b:
return 0
else:
k=a-b
return a-b + remainder(b,a-k)
If we test remainder(5,3) the function will return 2 and it's correct but if we test remainder(15,3),
we'll get 12 and its false. I just don't know how to debug it.
You are missing a case: (when a < b)
def remainder(a,b):
if a<b: #trivial: remainder = a - b*0 = a
return a
else: #reduce the problem to a simple one
return remainder(a-b, b)
Test:
print remainder(15,3)
Output:
0
Here if you are lazy and don't want to write more than 2 lines:
def remainder(a,b):
return a if a < b else remainder(a-b, b)
It should be something like this :
def remainder(a,b):
if a<b:
return a
else:
return remainder(a-b,b)
You can do:
def remainder(a, b):
if a < b:
return a
return remainder(a - b, b)
Examples:
>>> remainder(15, 3)
0
>>> remainder(14, 3)
2
>>> remainder(13, 3)
1
If a < b then it means we're done: we know the result of the computation and we can return a. Otherwise we need to subtract b from a and we call remainder again recursively. This can then repeatedly continue until a is smaller than b. Once that happens the recursion stops (i.e., it won't call remainder again) but we're able to return the result.

Recursive method function that counts binary 1s of an integer

I want to write a recursive method function that takes a nonnegative integer n as input and returns the number of 1s in the binary representation on n. I am instructed to use the fact that this is equal to the number of 1s in the representation of n//2 (integer division), plus 1 if n is odd.
Usage:
>>> ones(0)
0
>>> ones(1)
1
>>> ones(14)
3
ok so this is the code I got so far, it still doesn't work though. it gives me 0 no matter what I input as n.
def numOnes(n):
# base case
if n==0:
print (0)
elif n ==1:
print (1)
# recursive case
else:
return numOnes(n//2)+numOnes(n%2)
Thank you
These elements you need to do it yourself:
if integer & 1 == 1: # & is the binary and. & 1 will give the lowest bit
# there is a 1 in the end
integer = integer // 2 # loose one bit in the end
# or
integer = integer >> 1 # loose one bit in the end
Tell me if you need more input.
Your code works for me:
>>> def numOnes(n):
# base case
if n==0:
return (0)
elif n == 1:
return (1)
# recursive case
else:
return numOnes(n//2)+numOnes(n%2)
>>> numOnes(0b1100011)
4
You use print instead of return for the two base cases. Fix that and it'll work:
In [2]: numOnes(15842)
Out[2]: 9
In [3]: bin(15842).count('1')
Out[3]: 9

if a<x<b in matlab

I need any help for Matlab's thinking method.Ithink I can explaine my problem with a simple example better. Let's say that I have a characteristic function x=y+x0, x0's are may starting values.Then I want to define my function in a grid.Then I define a finer grid and I want to ask him if he knows where an arbitrary (x*,y*) is.To determine it mathematically I should ask where the corresponding starting point (x0*) is. If this startig point stay between x(i,1)
clear
%%%%%%%%%%&First grid%%%%%%%%%%%%%%%%%%%%
x0=linspace(0,10,6);
y=linspace(0,5,6);
for i=1:length(x0)
for j=1:length(y)
x(i,j)=y(j)+x0(i);
%%%%%%%%%%%%%%%%%%%Second grid%%%%%%%%%%%%%%%%%%
x0fine=linspace(0,10,10);
yfine=linspace(0,5,10);
for p=1:length(x0fine)
for r=1:length(yfine)
xfine(p,r)=yfine(r)+x0fine(p);
if (x(i,1)<xfine(p,1)')&(x0fine(p,1)'<x(i+1,1))%%%%I probabliy have my first mistake %here
% if y(j)<yfine(r)<y(j+1)
% xint(i,j)=(x(i,j)+x(i,j+1)+x(i+1,j)+x(i+1,j+1))./4;
% else
% xint(i,j)= x(i,j);
%end
end
end
end
end
While a < b < c is legal MATLAB syntax, I doubt that it does what you think it does. It does not check that a < b and b < c. What it does is, it checks whether a < b, returning a logical value (maybe an array of logicals) and then, interpreting this logical as 0 or 1, compares it against c:
>> 2 < 0 < 2
ans =
1
>> 2 < 0 < 1
ans =
1
>> 0 < 0 < 1
ans =
1
First in matlab you should avoid as much as possible to do loops.
For instance you can compute x and xfine, with the following code:
x0=linspace(0,10,6);
y=linspace(0,5,6);
x=bsxfun(#plus,x0',y);
x0fine=linspace(0,10,10);
yfine=linspace(0,5,10);
xfine=bsxfun(#plus,x0fine',yfine);
Then given (X*,y*) your want to fine x0*, in your simple example, you can just do: x0*=x*-y*, I think.

Resources