給定一個可以是正數和負數的數字序列,有幾種算法可以找到最長的遞增子序列。但是,如果有多個最長的子序列,有人能給我一個算法來找到最長和最長的子序列嗎?查找最大增加的最長子序列
示例:對於20,1,4,3,10,答案是1,4,10,而不是1,3,10
給定一個可以是正數和負數的數字序列,有幾種算法可以找到最長的遞增子序列。但是,如果有多個最長的子序列,有人能給我一個算法來找到最長和最長的子序列嗎?查找最大增加的最長子序列
示例:對於20,1,4,3,10,答案是1,4,10,而不是1,3,10
dpLen[i] = maximum length of a LIS with maximum sum ending at i
dpSum[i] = maximum sum of a LIS with maximum sum ending at i
for i = 0 to n do
dpLen[i] = 1
dpSum[i] = input[i]
maxLen = 0
for j = 0 to i do
if dpLen[j] > maxLen and input[j] < input[i]
maxLen = dpLen[j]
for j = 0 to i do
if dpLen[j] == maxLen and input[j] < input[i] and dpSum[j] + input[i] > dpSum[i]
dpSum[i] = dpSum[j] + input[i]
dpLen[i] = maxLen + 1
這是一個動態規劃問題。這是一個工作示例。我試圖註釋代碼。但是,如果你最近沒有刷過動態編程概念,那麼很難理解這個解決方案。
解可以被認爲是
S(j)條= MAX { 薩姆最長總和子序列與j結束(即,[j]的包括), S(J-1) 的}
public class LongestSumSequence{
public static void printLongestSumSubsequence(int[] seq) {
int[] S = new int[seq.length];
//S[j] contains the longest sum of subsequence a1,a2,a3,....,aj
//So a sub sequence with length 1 will only contain first element.
//Hence we initialize it like this
S[0] = seq[0];
int min_index = 0;
int max_index = 0;
//Now like any dynamic problem we proceed by solving sub problems and
//using results of subproblems to calculate bigger problems
for(int i = 1; i < seq.length; i++) {
//Finding longest sum sub-sequence ending at j
int max = seq[i];
int idx = i;
int sum = seq[i];
for(int j = i-1; j >=0 ; j--) {
sum += seq[j];
if(max < sum) {
idx = j;
max = sum;
}
}
//Now we know the longest sum subsequence ending at j, lets see if its
//sum is bigger than S(i-1) or less
//This element is part of longest sum subsequence
if(max > S[i-1]) {
S[i] = max;
max_index = i;
min_index = idx;
} else {
//This element is not part of longest sum subsequence
S[i] = S[i-1];
}
}
System.out.println("Biggest Sum : "+S[seq.length - 1]);
//Print the sequence
for(int idx = min_index; idx <= max_index; idx++) {
System.out.println("Index " + idx + "Element " + seq[idx]);
}
}
public static void main(String[] args) {
int[] seq = {5,15,-30,10,-5,40,10};
printLongestSumSubsequence(seq);
}
}
這功課嗎? – 2012-04-14 19:12:36
如果最長和最大金額之間存在衝突,你會怎麼做? 1,2,3,10,4,5 => sum(1,2,3,10)> sum(1,2,3,4,5),但第二個更長。 – 2012-04-14 19:15:53