Given an array of numbers, replace each number with the product of all the numbers in the array except the number itself *without* using division. 25 AnswersCreate a tree, where the leaf nodes are the initial values in the array. Given array A[1..n] create array B[1..n]= {1} // all elements =1 ; for (i=1; ij) B[i] *=A[j]; } } A=B; To husb: Your answer will work, but it's O(n^2) solution. Can you do better? Show More Responses Am I missing something? It can't be this easy: given array[0..n] int total = 0; for(int i=0; i<=n; i++) { total += array[i]; } for(int i=0; i<=n; i++) { array[i] = total-array[i]; } Ah yes.. I was. The question is PRODUCT, not sum. That will teach me to read the question too fast ;) Create a tree, where the leaf nodes are the initial values in the array. Build the binary tree upwards with parent nodes the value of the PRODUCT of its child nodes. After the tree is built, each leaf node's value is replaced by the product of all the value of the "OTHER" child node on its path to root. The pseudo code is like this given int array[1...n] int level_size = n/2; while(level_size != 1){//build the tree int new_array[1...level_size]; for ( int i=0; i left = array[i*2]; (and also from child to parent) new_array[i] -> right = array[i*2+1] new_array[i] = new_array[i] -> right* new_array[i] -> left; (take the product) } array= new_array; level_size /=2; } for(int i=0; iparent; if( parent->left == node){//find the other node under the parent brother = parent->right; } else{ brother = parent->left; } p *= brother; node = parent; } return p; } It seems to me that for any number array[i], you're looking for PRODUCT(all array[j] where j i]) we can simply precompute these "running products" first from left-to-right, then right-to-left, storing the results in arrays. So, leftProduct[0] = array[0]; for j=1; j = 0; j-- rightProduct[j] = rightProduct[j+1]*array[j]; then to get our answer we just overwrite the original array with the desired product array[0] = rightProduct[1]; array[n-1] = leftProduct[n-2]; for j=1; j < n-1; j++ array[j] = leftProduct[j-1] * rightProduct[j+1] and clearly this solution is O(n) since we just traversed the data 3 times and did a constant amount of work for each cell. betterStill, I think you have the answer the interviewer wanted.. But... if the array is google sized, don't we have to worry about overflows? it looks to me can be done in order n time given the following relation: product[n] = product[n-1]*array[n-1]/array[n] for example we have array 2 3 4 5 6 product[0]=3*4*5*6 product[1]=2*4*5*6 array[0] = 2; array[1]=3 product[1]=product[0]*array[0]/array[1] Here are my 2 cents to do this in memory without creating temporary arrays. The simple solution , if division was allowed, was multiple all the elements of the array i.e. tolal = A[0]*A[1]]*....*A[n-1] now take a loop of array and update element i with A[i] = toal/A[i] Since division is not allowed we have to simulate it. If we say X*Y = Z, it means if X is added Y times it is equal to Z e.g. 2*3 = 6, which also means 2+2+2 = 6. This can be used in reverse to find how mach times X is added to get Z. Here is my C solution, which take pointer to array head A[0] and size of array as input void ArrayMult(int *A, int size) { int total= 1; for(int i=0; i< size; ++i) total *= A[i]; for(int i=0; i< size; ++i) { int temp = total; int cnt = 0; while(temp) { temp -=A[i]; cnt++; } A[i] = cnt; } } Speed in O(n) and space is O(1) narya trick is good but really useful as it might take more iterations depending on values... eg. 2,3,1000000000000000 so if you have 3 numbers and if you are trying for the first one it will go for 500000000000000 iterations, hence as the overall product value wrt to the value matters a lot... try something else.... narya, your solution is not O(n). You have to also account for how many times you will run through the inner loop - which will be a lot. You can do it in O(n) time and O(n) space. In one pass, populate B[i] with the product of every number before i. In the second pass, multiply this with the product of every number after i. Can't think of a way to do it without the second array. void ArrayMult(int *A, int size) { runningProduct = 1; int *B = new int[size]; for(int i = 0; i = 0; --i) { B[i] *= runningProduct; runningProduct *= A[i]; } for(int i = 0; i < size; ++i) { A[i] = B[i]; } } Show More Responses <strong>Brutefoce Method : </strong> The brute-force method suggests that if we take each element, multiply all elements and store the product in the array B[i], then it would take O(n^2) time. <strong>Other Solution : </strong> The other solution to this problem can be we multiply all the elements of the array "A" and store the product in a variable (say product.), and then divide the product by each element, then we will get the desired array. The C code of the solution can be : #include int main() { int n,i=0; scanf("%d",&n); int arr[n]; int brr[n]; int product = 1; for(i=0;i This solution will take O(n) time. The space complexity of this solution will be O(1). If we have particularly given that "We can't use the *DIVISION* operator, then the solution to this problem will be as follows." polygenelubricants method : Let we have 2 arrays, "A" and "B". Let the length of "A" is 4. i.e. {A[0],A[1],A[2],A[3]} Then we will make two arrays (say temp1 and temp2). One array will be storing the product the array before a particular element and temp2 will store the product of elements after a particular element. temp1 = { 1 , A[0] , A[0]*A[1] , A[0]*A[1]*A[2]} temp2 = {A[1]*A[2]*A[3] , A[2]*A[3] , A[3] , 1} And then we will correspondingly multiply temp1 and temp2 and store in B. B = {A[1]*A[2]*A[3] , A[0*A[2]*A[3] , A[0]*A[1]*A[3] , A[0]*A[1]*A[2]} The C code to this solution will be : #include int main() { int n,i=0; scanf("%d",&n); int A[n],B[n]; int temp1[n], temp2[n]; for(i=0;i=0;i--) { temp2[i] = product; product *= A[i]; } for(i=0;i The time complexity to this solution will be O(n) and the space complexity to this problem will also be O(n). var nums = new[] {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}; var newnums = new int[nums.Length]; for (var i = 0; i index != i).Aggregate((a, b) => a*b); } We can fill two arrays: headProduct and tailProduct. Each headProduct[i] == product of A[0..i-1], tailProduct[i] ==[i+1..A.lenght-1]. They can be built in O(n) and the result could be gathered in O(n). Memory demand is O(n) nt a[N] = {1, 2, 3, 4}; int products_below[N]; int products_above[N]; int p=1; int p1=1; for (int i=0;i def solve(arr,n): product_arr=[1]*n product=1 for i in xrange(n): product_arr[i]*=product product*=arr[i] product=1 for i in xrange(n-1,-1,-1): product_arr[i]*=product product*=arr[i] return product_arr {{{ If A = {a0, a1, a2, ... an} Construct two arrays called left_p left product and right_p right product: left_p = {1, a0, a0 * a1, a0 * a1 * a2, .... , a0 * a1 * a2 ... * an-1} right_p = {a1*a2*...*an, ....... an-2 * an-1 * an , an-1 * an, an , 1} prod_p[i] = left_p[i] * right_p[i]; }}} O(N) Solution!!! static void Calculate(int[] iArr) { int total = 1; for (int i = 0; i < iArr.Length; i++) { total *= iArr[i]; } for (int i = 0; i < iArr.Length; i++) { iArr[i] = (int)(total * (1 / (double)iArr[i])); } } The answer I post above this uses division. Oops. Here is an answer without division static void Calculate(int[] iArr) { int total = 1; for (int i = 0; i 0) { temp -= iArr[i]; newVal++; } iArr[i] = newVal; } } Sorry, that last one didn't paste properly static void Calculate(int[] iArr) { int total = 1; for (int i = 0; i 0) { temp -= iArr[i]; newVal++; } iArr[i] = newVal; } } Show More Responses p = 1 g = 1 for x in nums: g = g* x + p p = p + x return g Way easy with a simple negative exponent var arr = [2,3,4,5] var prod = arr.reduce((a,b,arr)=>a*b) arr.map((x)=>Math.pow(x,-1)*prod) console.log(arr) //[60,40,30,24] |