Project Euler
Type of site | Problem Solving Website for Computational Mathematics |
---|---|
Created by | Colin Hughes |
URL | projecteuler.net |
Commercial | No |
Registration | Free |
Launched | October 5, 2001 |
Project Euler (named after Leonhard Euler) is a website dedicated to a series of computational problems intended to be solved with computer programs.[1][2] The project attracts adults and students interested in mathematics and computer programming. Since its creation in 2001 by Colin Hughes, Project Euler has gained notability and popularity worldwide.[3] It includes over 750 problems,[4] with a new one added approximately every two weeks.[5] Problems are of varying difficulty, but each is solvable in less than a minute of CPU time using an efficient algorithm on a modestly powered computer. As of 27 April 2021, Project Euler has more than 1,000,000 users who have solved at least one problem, in over 100 different programming languages.[6]
Features of the site[]
A forum specific to each question may be viewed after the user has correctly answered the given question.[7] Problems can be sorted on ID, number solved and difficulty. Participants can track their progress through achievement levels based on the number of problems solved. A new level is reached for every 25 problems solved. Special awards exist for solving special combinations of problems. For instance, there is an award for solving fifty prime numbered problems. A special "Eulerians" level exists to track achievement based on the fastest fifty solvers of recent problems so that newer members can compete without solving older problems.[8]
Example problem and solutions[]
The first Project Euler problem is Multiples of 3 and 5
If we list all the natural numbers below 10 that are multiples of 3 or 5, we get 3, 5, 6 and 9. The sum of these multiples is 23.
Find the sum of all the multiples of 3 or 5 below 1000.
Though this problem is much simpler than the typical problem, it serves to illustrate the potential difference that an efficient algorithm makes. The brute-force algorithm examines every natural number less than 1000 and keeps a running sum of those meeting the criteria. This method is simple to implement, as shown by the following pseudocode:
total := 0 for NUM from 1 through 999 do if NUM mod 3 = 0 or NUM mod 5 = 0 then total := total + NUM return total
For harder problems, it becomes increasingly important to find an efficient algorithm. For this problem, we can reduce 1000 operations to a few by using the inclusion–exclusion principle and a closed-form summation formula.
Here, denotes the sum of multiples of below . In big O notation, the brute-force algorithm is and the efficient algorithm is (assuming constant time arithmetic operations).
See also[]
References[]
- ^ Suri, Manil (2015-10-12). "The importance of recreational math". The New York Times. Retrieved 2018-06-05.
- ^ Foote, Steven (2014). Learning to Program. Addison-Wesley learning series. Pearson Education. p. 249. ISBN 9780789753397.
- ^ James Somers (June 2011). "How I Failed, Failed, and Finally Succeeded at Learning How to Code - Technology". The Atlantic. Retrieved 2013-12-14.
- ^ "Project Euler (list of problems)". Retrieved 27 April 2021.
- ^ "News - Project Euler". projecteuler.net. Retrieved 2021-04-27.
- ^ "Project Euler (Statistics)". Retrieved 27 April 2021.
- ^ "Project Euler - About". Retrieved 2008-04-04.
- ^ "Project Euler (News Archives)". Retrieved 2015-03-31.
External links[]
- Home page
- Links to Translation Projects into several other languages
- Mathematics websites
- Computer science competitions
- Problem solving
- Puzzles
- British educational websites