数组中所有成对的整数和的异或 [英] Xor of all pairwise sums of integers in an array
问题描述
我们有一个数组 A
,例如 [1、2、3]
.我想找到数组中所有整数对的SUM的XOR.
尽管可以通过遍历所有对来轻松地在 O(n ^ 2)
(其中 n
是数组的大小)中完成此操作,但我想改进解决方案的时间复杂度?任何可以提高时间复杂度的答案都是很好的.
例如.对于上面的示例数组 A
,答案将是(1 + 2)^(1 + 3)^(2 + 3)= 2
.由于成对元素是(1,2),(1,3),(2,3)
和 3 ^ 4 ^ 5 = 2
.
We have an array A
for example [1, 2, 3]
. I want to find the XOR of the SUM of all pairs of integers in the array.
Though this can easily be done in O(n^2)
(where n
is the size of the array) by passing over all of the pairs, I want to improve the time complexity of the solution? Any answer that improves the time complexity would be great.
E.g. for the above example array, A
, the answer would be (1+2)^(1+3)^(2+3) = 2
. Since the pairwise elements are (1,2), (1,3), (2,3)
, and 3 ^ 4 ^ 5 = 2
.
推荐答案
这是我对至少一位作者的 用于 O(n * log n * w)
解决方案,其中 w
是最大和的位数.
Here's my understanding of at least one author's intention for an O(n * log n * w)
solution, where w
is the number of bits in the largest sum.
这个想法是一次检查每个位的贡献.由于我们只对求和中的第 2 ^(k +1)
.
The idea is to examine the contribution of each bit one a time. Since we are only interested in whether the k
th bit in the sums is set in any one iteration, we can remove all parts of the numbers that include higher bits, taking them each modulo 2^(k + 1)
.
现在,必须将第 [2 ^ k,2 ^(k + 1))
和 [2 ^(k + 1)+ 2 ^ k,2 ^(k + 2)-2]
.因此,我们对输入列表进行排序(取模 2 ^(k + 1)
),对于每个左求和,我们递减一个指针到两个间隔中每个间隔的末尾,然后对相关的开始进行二进制搜索索引.
Now the sums that would necessarily have the k
th bit set lie in the intervals, [2^k, 2^(k + 1))
and [2^(k+1) + 2^k, 2^(k+2) − 2]
. So we sort the input list (modulo 2^(k + 1)
), and for each left summand, we decrement a pointer to the end of each of the two intervals, and binary search the relevant start index.
这里的JavaScript代码具有与蛮力的随机比较,以证明其有效(可以轻松转换为C或Python):
Here's JavaScript code with a random comparison to brute force to show that it works (easily translatable to C or Python):
// https://stackoverflow.com/q/64082509
// Returns the lowest index of a value
// greater than or equal to the target
function lowerIdx(a, val, left, right){
if (left >= right)
return left;
mid = left + ((right - left) >> 1);
if (a[mid] < val)
return lowerIdx(a, val, mid+1, right);
else
return lowerIdx(a, val, left, mid);
}
function bruteForce(A){
let answer = 0;
for (let i=1; i<A.length; i++)
for (let j=0; j<i; j++)
answer ^= A[i] + A[j];
return answer;
}
function f(A, W){
const n = A.length;
const _A = new Array(n);
let result = 0;
for (let k=0; k<W; k++){
for (let i=0; i<n; i++)
_A[i] = A[i] % (1 << (k + 1));
_A.sort((a, b) => a - b);
let pairs_with_kth_bit = 0;
let l1 = 1 << k;
let r1 = 1 << (k + 1);
let l2 = (1 << (k + 1)) + (1 << k);
let r2 = (1 << (k + 2)) - 2;
let ptr1 = n - 1;
let ptr2 = n - 1;
for (let i=0; i<n-1; i++){
// Interval [2^k, 2^(k+1))
while (ptr1 > i+1 && _A[i] + _A[ptr1] >= r1)
ptr1 -= 1;
const idx1 = lowerIdx(_A, l1-_A[i], i+1, ptr1);
let sum = _A[i] + _A[idx1];
if (sum >= l1 && sum < r1)
pairs_with_kth_bit += ptr1 - idx1 + 1;
// Interval [2^(k+1)+2^k, 2^(k+2)−2]
while (ptr2 > i+1 && _A[i] + _A[ptr2] > r2)
ptr2 -= 1;
const idx2 = lowerIdx(_A, l2-_A[i], i+1, ptr2);
sum = _A[i] + _A[idx2]
if (sum >= l2 && sum <= r2)
pairs_with_kth_bit += ptr2 - idx2 + 1;
}
if (pairs_with_kth_bit & 1)
result |= 1 << k;
}
return result;
}
var As = [
[1, 2, 3], // 2
[1, 2, 10, 11, 18, 20], // 50
[10, 26, 38, 44, 51, 70, 59, 20] // 182
];
for (let A of As){
console.log(JSON.stringify(A));
console.log(`DP, brute force: ${ f(A, 10) }, ${ bruteForce(A) }`);
console.log('');
}
var numTests = 500;
for (let i=0; i<numTests; i++){
const W = 8;
const A = [];
const n = 12;
for (let j=0; j<n; j++){
const num = Math.floor(Math.random() * (1 << (W - 1)));
A.push(num);
}
const fA = f(A, W);
const brute = bruteForce(A);
if (fA != brute){
console.log('Mismatch:');
console.log(A);
console.log(fA, brute);
console.log('');
}
}
console.log("Done testing.");
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