Prefix State Map

I haven't found an official name of this kind of problem. I just named it as "Prefix State Map".

This kind of problem is usually:

  • about finding the longest/shortest subarray which satisfies some condition.

  • the state of the subarray can be deduced using the the states of the prefix array. For example, to get the state of A[i..j], you can use the state of two prefix array, A[0..(i-1)] and A[0..j].

Algorithm

Let m be a map from the state state[i] of a prefix subarray A[0..i] to the index of the first/last occurrence of the state state[i].

For the current index i and its state state[i], assume we want to get a subarray which ends at i and has a target_state and has the longest/shortest length.

Then we can use state[i] and target_state to compute a prefix_state. j = m[prefix_state] is the corresponding index of the prefix array. A[(j+1) .. i] is the longest/shortest optimal subarray.

Pseudo Code

int ans = 0; // the length of the optimal subarray
int state = 0; // assume the initial state is 0
unordered_map<int, int> m{{0, -1}}; // let -1 be the index of state `0`.
for (int i = 0; i < A.size(); ++i) {
    state = nextState(state, A[i]); // update state using A[i]
    int prefixState = getPrefixState(state); // based on problem description, we can compute a prefix state using the current state.
    ans = max(ans, i - m[prefixState]); // Use `min` if we are looking for the shortest subarray.
    m[state] = min(m[state], i); // Use `max` if we are looking for the shortest subarray.
}

Problems

PreviousP And NpNextPrefix Sum

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