O(N*K) On Nov 28, 1:04 pm, Nitin Garg <nitin.garg.i...@gmail.com> wrote: > @Sourabh - whats the running time? > > > > > > > > > > On Mon, Nov 28, 2011 at 3:28 AM, Ankur Garg <ankurga...@gmail.com> wrote: > > Cool Solution...I was thinking of DP but wasnt clear on the recurrence... > > > Nice thinking man and thanks :) > > > On Mon, Nov 28, 2011 at 2:47 AM, sourabh <sourabhd2...@gmail.com> wrote: > > >> Consider the example that you have given: > >> [0,0,1,1,0,0,1,1,0,1,1,0] , here n = 12 and k=3 > > >> Now we need to partition the array into 3 contiguous sub arrays such > >> that : > >> a) The expected sum value is maximum > >> b) and the size of each sub array should be between 2 and 6, both > >> inclusive. In case, this constraint is not satisfied then its not a > >> valid candidate for the solution even if the partition produces the > >> max value. > > >> 2 = ceil (n / 2k) = ceil (12/6) > >> 6 = floor (3n / 2k) = floor (36/6) > >> --------------------------------------------- > >> As mentioned above the following equation : > >> F(n,k) = MAX for all r such that ceil(n/2k) <= r <= floor(3n/2k) > >> { (expected value of array elems from A[n] to A[n-r+1]) + F(n-r, > >> k-1) } > > >> /** > >> For understanding how partitioning of the array is represented by the > >> above equation: > > >> Say there is an array denoted by A[i] and it needs to be divided into > >> 3 contiguous parts, one of the ways to do so would be to take the > >> following steps : > > >> Let K(partition no.) be initialized to 3. > >> Let array size N be 12. > > >> a) If N is 0, the goto step 'f' > >> b) If K == 1 then call it as partition K and goto step 'e'. > >> c) Lets take X no. of elements from the end of array A of size N and > >> call it partition K. > >> d) Decrement K by 1 and N by X { --K; and N-=X;} > >> d) Goto step 'a' > >> e) Valid partition and End. > >> f) Not a valid partition and End. > > >> Now if the above set of steps is run for all values of X such that > >> 2<=X<=6 , then it will generate all possible candidates (partitions) > >> as per the given problem statement. And for all the valid > >> partitions(the ones that will hit step 'e') we need to calculate the > >> expected sum value. > >> **/ > > >> can be translated into, > >> // I am using 1-based array indexing for better clarity > >> // A[x .. y] means all elements from A[y] to A[x].. > > >> F(12, 3) = MAX > >> { > >> ExpVal (A[12 .. 11]) + F(10, 2) , > >> ExpVal (A[12 .. 10]) + F(9, 2) , > >> ExpVal (A[12 .. 9]) + F(8, 2) , // > >> this will yield the maximum sum.. > >> ExpVal (A[12 .. 8]) + F(7, 2) , > >> ExpVal (A[12 .. 7]) + F(6, 2) > >> } > > >> which is nothing but, > >> F(12, 3) = MAX > >> { > >> 1/2 + F(10, 2) , > >> 2/3 + F(9, 2) , > >> 2/4 + F(8, 2) , // this will yield the > >> maximum sum.. > >> 3/5 + F(7, 2) , > >> 4/6 + F(6, 2) > >> } > > >> Trace the above equation and you should get it.. > > >> On Nov 28, 12:57 am, Ankur Garg <ankurga...@gmail.com> wrote: > >> > Hey Sourabh > > >> > Could you please explain the solution in a bit detail perhaps using an > >> > example or so..It wud be really helpful ..Just logic not code > > >> > On Mon, Nov 28, 2011 at 1:03 AM, sourabh <sourabhd2...@gmail.com> > >> wrote: > >> > > Looks like a dynamic programming problem.... > > >> > > Say F(n,k) denotes the maximum expected sum value for an array of n > >> > > elements and partition k , then > > >> > > F(n,k) = MAX for all r such that ceil(n/2k) <= r <= floor(3n/2k) > >> > > { (expected value of array elems from A[n] to A[n-r+1]) + F(n-r, > >> > > k-1) } > > >> > > Base condition: > >> > > 1) F(N, 1) = expected value for array A[n] such that ceil(n/2k) <= N > >> > > <= floor(3n/2k) > >> > > 2) If any of the sub problems where the array size is not between > >> > > ceil(n/2k) and floor(3n/2k) , both inclusive, then its not a valid > >> > > candidate for the final solution. This is can be handled by giving > >> > > initial value to all such combination a value of -1. > > >> > > To store that the intermediate computations take an array Max[N][K], > >> > > F(N,K) = Max[N][K] > > >> > > On Nov 28, 12:17 am, sourabh <sourabhd2...@gmail.com> wrote: > >> > > > Because in the previous example k = 3. > > >> > > > On Nov 27, 10:46 pm, Piyush Grover <piyush4u.iit...@gmail.com> > >> wrote: > > >> > > > > Optimal split: [0,0][1,1][0,0][1,1][0,1][1,0] > >> > > > > Expected value of optimal split: 0 + 1 + 0 + 1 + 1/2 + 1/2 = 3 > >> > > > > why this is not the optimal split??? > > >> > > > > On Sun, Nov 27, 2011 at 6:58 PM, Ankur Garg <ankurga...@gmail.com > > >> > > wrote: > >> > > > > > You have an array with *n* elements. The elements are either 0 > >> or 1. > >> > > You > >> > > > > > want to *split the array into kcontiguous subarrays*. The size > >> of > >> > > each > >> > > > > > subarray can vary between ceil(n/2k) and floor(3n/2k). You can > >> > > assume that > >> > > > > > k << n. After you split the array into k subarrays. One element > >> of > >> > > each > >> > > > > > subarray will be randomly selected. > > >> > > > > > Devise an algorithm for maximizing the sum of the randomly > >> selected > >> > > > > > elements from the k subarrays. Basically means that we will > >> want to > >> > > split > >> > > > > > the array in such way such that the sum of all the expected > >> values > >> > > for the > >> > > > > > elements selected from each subarray is maximum. > > >> > > > > > You can assume that n is a power of 2. > > >> > > > > > Example: > > >> > > > > > Array: [0,0,1,1,0,0,1,1,0,1,1,0] > >> > > > > > n = 12 > >> > > > > > k = 3 > >> > > > > > Size of subarrays can be: 2,3,4,5,6 > > >> > > > > > Possible subarrays [0,0,1] [1,0,0,1] [1,0,1,1,0] > >> > > > > > Expected Value of the sum of the elements randomly selected > >> from the > >> > > subarrays: 1/3 + 2/4 + 3/5 = 43/30 ~ 1.4333333 > > >> > > > > > Optimal split: [0,0,1,1,0,0][1,1][0,1,1,0] > >> > > > > > Expected value of optimal split: 1/3 + 1 + 1/2 = 11/6 ~ > >> 1.83333333 > > >> > > > > > Source -> > >> > >http://stackoverflow.com/questions/8189334/google-combinatorial-optim. > >> .. > > >> > > > > > -- > >> > > > > > You received this message because you are subscribed to the > >> Google > >> > > Groups > >> > > > > > "Algorithm Geeks" group. > >> > > > > > To post to this group, send email to algogeeks@googlegroups.com > >> . > >> > > > > > To unsubscribe from this group, send email to > >> > > > > > algogeeks+unsubscr...@googlegroups.com. > >> > > > > > For more options, visit this group at > >> > > > > >http://groups.google.com/group/algogeeks?hl=en. > > >> > > -- > >> > > You received this message because you are subscribed to the Google > >> Groups > >> > > "Algorithm Geeks" group. > >> > > To post to this group, send email to algogeeks@googlegroups.com. > >> > > To unsubscribe from this group, send email to > >> > > algogeeks+unsubscr...@googlegroups.com. > >> > > For more options, visit this group at > >> > >http://groups.google.com/group/algogeeks?hl=en. > > >> -- > >> You received this message because you are subscribed to the Google Groups > >> "Algorithm Geeks" group. > >> To post to this group, send email to algogeeks@googlegroups.com. > >> To unsubscribe from this group, send email to > >> algogeeks+unsubscr...@googlegroups.com. > >> For more options, visit this group at > >>http://groups.google.com/group/algogeeks?hl=en. > > > -- > > You received this message because you are subscribed to the Google Groups > > "Algorithm Geeks" group. > > To post to this group, send email to algogeeks@googlegroups.com. > > To unsubscribe from this group, send email to > > algogeeks+unsubscr...@googlegroups.com. > > For more options, visit this group at > >http://groups.google.com/group/algogeeks?hl=en. > > -- > Nitin Garg > > "Personality can open doors, but only Character can keep them open"
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