Home > Web Front-end > JS Tutorial > Specific implementation of six algorithms for JavaScript full arrangement_javascript skills

Specific implementation of six algorithms for JavaScript full arrangement_javascript skills

WBOY
Release: 2016-05-16 17:30:53
Original
1069 people have browsed it

Total permutation is an algorithm with a time complexity of: O(n!). I was giving a lecture to students two days ago and I accidentally thought of this problem. I came back and summarized it. It can be solved by 7 algorithms, among which dynamic loops are similar to backtracking algorithms. It is relatively cumbersome to implement, so I have summarized 6 types for the convenience of readers. All algorithms are written in JavaScript and can be run directly.
Algorithm 1: Exchange (recursion)

Copy code The code is as follows:




Full Permutation(Recursive Swap) - Mengliao Software


Full Permutation(Recursive Swap)

Mengliao Software Studio - Bosun Network Co., Ltd.

2011.05.24








Algorithm 2: Linking (recursive)



Copy code
The code is as follows:




Full Permutation(Recursive Link) - Mengliao Software

Full Permutation(Recursive Link)

Mengliao Software Studio - Bosun Network Co., Ltd.

2012.03.29








Algorithm 3: Backtracking (recursion) >

Copy code

The code is as follows:




Full Permutation(Recursive Backtrack) - Mengliao Software

Full Permutation(Recursive Backtrack)

Mengliao Software Studio - Bosun Network Co., Ltd.

2012.03.29








Algorithm 4: Backtracking (non-recursive)





Copy code

The code is as follows:




Full Permutation(Non-recursive Backtrack) - Mengliao Software

< ;body>

2012.03.29








Algorithm 5: Sorting (non-recursive)



Copy code
The code is as follows:




Full Permutation(Non-recursive Sort) - Mengliao Software

< ;body> 2012.03.30








Algorithm 6: Modulo (non-recursive)




Copy code

The code is as follows:




Full Permutation(Non-recursive Modulo) - Mengliao Software

< ;body>

Full Permutation (Non-recursive Modulo)
;/p> Is equal to the number of elements in the original array;
2. Calculate the total number of all n elements arranged, that is, n!;
3. Loop n! times starting from any integer >=0, accumulating 1 each time , recorded as index;
4. Take the first element arr[0], find the lowest bit of the 1-digit expression, that is, find the value w of index modulo 1, and insert the first element (arr[0]) w position of result, and iterate index to index1;
5. Take the second element arr[1], find the lowest bit of the binary expression, that is, find the value w of index modulo 2, and change the second element (arr[1]) Insert the w position of result, and iterate index to index2;
6. Take the third element arr[2] and find the lowest bit of the ternary expression, that is, find the value of index modulo 3 w, insert the third element (arr[2]) into the w position of result, and iterate the index to index3;
7,...
8, until the last element arr[arr.length-1 is taken ], at this time a permutation is obtained;
9. When the index loop is completed, all permutations are obtained.

Example:
Find the full arrangement of 4 elements ["a", "b", "c", "d"], loop 4!=24 times in total, and can start from any>= The integer index of 0 starts the loop, accumulating 1 each time, until it ends after the loop reaches index 23;
Assume index=13 (or 13 24, 13 2*24, 13 3*24...), because there are 4 elements in total, Therefore, after iterating 4 times, the resulting permutation process is:
The 1st iteration, 13/1, quotient = 13, remainder = 0, so the 1st element is inserted into the 0th position (that is, the subscript is 0), get ["a"];
The second iteration, 13/2, quotient=6, remainder=1, so the second element is inserted into the first position (that is, the subscript is 1), and we get [ "a", "b"];
The 3rd iteration, 6/3, quotient=2, remainder=0, so the 3rd element is inserted into the 0th position (that is, the subscript is 0), and we get [" c", "a", "b"];
The 4th iteration, 2/4, quotient=0, remainder=2, so the 4th element is inserted into the 2nd position (that is, the subscript is 2), Get ["c", "a", "d", "b"];
*/
var count = 0;
function show(arr) {
document.write("P< ;sub>" count ": " arr "
");
}
function perm(arr) {
var result = new Array(arr.length) ;
var fac = 1;
for (var i = 2; i <= arr.length; i )
fac *= i;
for (index = 0; index < fac ; index ) {
var t = index;
for (i = 1; i <= arr.length; i ) {
var w = t % i;
for (j = i - 1; j > w; j--)
result[j] = result[j - 1];
result[w] = arr[i - 1];
t = Math.floor (t / i);
} }
show(result);
}
}
perm(["e1", "e2", "e3", "e4"]);





Some of the above six algorithms are to arrange positions, such as backtracking, sorting, etc. , because this can adapt to various types of elements, rather than requiring that the elements to be arranged must be numbers or letters, etc.

source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template