Project Euler - What you've learned

  • Thread starter Thread starter Edgardo
  • Start date Start date
  • Tags Tags
    Euler Project
AI Thread Summary
Project Euler has become a popular platform for users seeking to enhance their programming and problem-solving skills through mathematical challenges. Participants have noted the diverse approaches to problem-solving, with some using unconventional programming languages like K, which can produce complex code. Key techniques discussed include memoization to reuse previously calculated results, and the use of tools like Psyco to improve Python performance significantly. Comparisons between programming languages reveal that while C++ is faster than Python, the latter excels in handling large numbers, prompting users to explore libraries like GMP for better performance. Java is also mentioned, but its BigInteger datatype is criticized for being slow and cumbersome. Users emphasize the importance of understanding algorithms and mathematics, suggesting that resources like Cormen's "Introduction to Algorithms" are beneficial for tackling problems across various coding platforms. The conversation highlights the value of pre-planning and algorithm efficiency in solving challenges effectively.
Edgardo
Messages
706
Reaction score
17
So I registered on http://projecteuler.net/" and I must say: it's quite addictive!
I didn't expect it to be that much fun.

I'd like to share what things I've learned from solving the problems:


- When solving a problem you get access to a thread. I was impressed
how different the approaches are. People use "crazy languages" like K where
the code looks like this: */_*a@&1000=+/'a:b,'(_sqrt+/)'b*b:,/n,/:'1+!:'n:!1000

- http://en.wikipedia.org/wiki/Memoization" : Use results that you've calculated before

- Using http://psyco.sourceforge.net/" (a Python compiler) improved the Python performance of one my programs by a factor of 4.

- C++ is much faster than Python. But Python can handle really big numbers.
I will probably have to learn using http://gmplib.org/" .

- Java is fast. But the BigInteger datatype is slow (maybe I used it in the wrong way?) and hard to use :frown:


What did you learn (for example what kind of techniques boosted the speed
of your programs)?
What programming languages do you use and prefer?
 
Last edited by a moderator:
Technology news on Phys.org
Hi, I registered in spoj.pl , www.topcoder.com[/url] , [url]www.codechef.com[/URL], and many acm judges ... i am chandubaba everywhere. Read the book "introduction to algorithms" by cormen, awesome! Very good for all these sites. But i am not there in project euler ... i am not familiar with gcj stuff. Also we need to do a lot of math (learn it fun way, ie not preparing for exam but for fun)... dynamic programming and graph theory seems to be everywhere at the elementary level.
 
Last edited by a moderator:
I learned:
C can handle bigger numbers than C++
Many algorithms are already better implemented than I ever could, especially in Mathematica
Thinking about a problem first can reduce the time needed to get the answer significantly
 
chandubaba said:
Hi, I registered in spoj.pl , www.topcoder.com[/url] , [url]www.codechef.com[/URL], and many acm judges ... i am chandubaba everywhere. Read the book "introduction to algorithms" by cormen, awesome! Very good for all these sites. But i am not there in project euler ... i am not familiar with gcj stuff. Also we need to do a lot of math (learn it fun way, ie not preparing for exam but for fun)... dynamic programming and graph theory seems to be everywhere at the elementary level.[/QUOTE]

Interesting. I'm currently reading Cormen's book and I like it. But I wouldn't have thought that it is actually useful for the problems on the aforementioned websites.
 
Last edited by a moderator:
There are larger int objects in C++ as well, however for project euler I can recommend vectorized python (numpy).
 
I did it in Pari. It makes most of the problems trivial -- though I'll admit it's pretty bad at string manipulation.
 
Project euler taught me the hard way about algorithm efficiency...
 
I learned that pretty much everything I ever need to implement has been implemented by an open source project somewhere along the line...
 
Edgardo what's your handle in topcoder?
 
Back
Top