TopCoder Problem Statement - RecurrenceRelation |

Single Round Match 170 Round 1 - Division I, Level One |

Single Round Match 170 Round 1 - Division II, Level Two |

Solve for the value of X[n] where X[n] is based on X[n-1], X[n-2], ...

1 public class RecurrenceRelation { 2 3 public int moduloTen(int[] coefficients, int[] initial, int N) { 4 5 int K = coefficients.length; 6 7 /* 8 * Stores the solution to the previous K problems. 9 */ 10 int[] X = new int[K]; 11 12 /* 13 * Initialize X to contain the values given 14 * in initial. We need to mod these first. 15 */ 16 for (int i = 0; i < X.length; i++) { 17 X[i] = myMod(initial[i], 10); 18 } 19 20 // If we already have the answer, just return it. 21 if (N < K) return X[N]; 22 23 int n = K; 24 25 while (n <= N) { 26 27 /* 28 * Add up the previous K solutions. 29 */ 30 int sum = 0; 31 32 for (int k = 0; k < K; k++) { 33 sum += coefficients[k] * X[k]; 34 } 35 36 sum = myMod(sum, 10); 37 38 /* 39 * We have our answer, so shuffle everything down to 40 * make room for it - dropping the olds solution off 41 * since we won't need it any more. 42 */ 43 44 for (int i = 0; i < (K - 1); i++) { 45 X[i] = X[i + 1]; 46 } 47 48 // Insert the current solution into the end of the array. 49 X[K - 1] = sum; 50 51 // Start working on the next solution. 52 n++; 53 } 54 55 // Return the most recently solved. 56 return X[K - 1]; 57 } 58 59 /* 60 * This handles mod'ing negative numbers, and is taken 61 * straight out of the problem definition. 62 */ 63 private static int myMod(int i, int m) { 64 65 if (i >= 0) return i % m; 66 67 return ((m - ((-1 * i) % m)) % m); 68 } 69 }

The wording of this problem makes it sound much more difficult than it actually is. You may need to read the description several times in order to understand what it's getting at. Basically, you're asked to solve for the value of X[n], where X[n] is based on the values of X[n-1], X[n-2], etc. The number of previous elements that combine to create the value of X[n] is K, where K is the length of both the coefficients and initial arrays.

Start by creating an array of ints, X[], to hold these values. Then we initialize X[] using the values from initial[]. Note that we need to perform the mod operation as described int the problem statement before inserting any value into X[]. Also note that if the number we're being asked to solve for (N) is less than, or equal to, the length of the initial[] array (N <= K), then we already have our answer. We can just return the the value in X[N].

Otherwise, we need to solve for each value of X[n] up to n = N. To get the next value we multiply each value in X[] by it's corresponding value in coefficients[] and note their sum. Then we shift all elements in X[] down by 1 (dropping off the value in X[0]) and insert our new value into the right-most position - after running it through the mod operation.

Once n == N, we have solved for the number that was asked for. The value we need is the most recent solution found which is stored in the greatest element of X.

The method myMod() simply implements the mod function as described in the problem statement. It is the normal % function, modified to handle negative numbers.

Again, the toughest part of the problem is just reading through the problem statement making sense of it. I actually thought this was harder than the 1000 point problem Poetry.

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