Problem solution · C++

Number of Good Binary Strings

Number of Good Binary Strings: a C++ solution using dynamic programming. Learn the idea, check the complexity, and read the full code, with credit to walkccc LeetCode Solutions.

Technique
Dynamic programming
Source
walkccc LeetCode Solutions
Length
29 lines
Start with the idea.

Try the problem first. If you get stuck, read the approach below, then write your own solution. The full code is at the bottom.

Approach

Dynamic programming

For Number of Good Binary Strings, the implementation records answers for smaller states and reuses them to build the requested result without repeating work.

  1. Define precisely what one DP state represents.
  2. Establish the base cases before transitions are evaluated.
  3. Process states in dependency order and combine only already-known values.

Code notes

  • 29 lines of C++ from the credited upstream file 2533.cpp.
  • The implementation visibly relies on sequence storage, cached states.
  • 1 loop block detected.

Complexity

Multiply the number of reachable states by the work performed for each transition, then include the stored state table in memory usage.

Check the problem constraints before deciding whether this complexity will pass.

Source

Code and credit

This code comes from walkccc LeetCode Solutions by P.-Y. Chen (walkccc) and is used under the MIT licence.

Full codeNumber of Good Binary Strings · C++C++
Use this to learn the idea, then write your own version.
class Solution { public:  int goodBinaryStrings(int minLength, int maxLength, int oneGroup,                        int zeroGroup) {    constexpr int kMod = 1'000'000'007;    // dp[i] := the number of good binary strings with length i    vector<int> dp(maxLength + 1);    dp[0] = 1;  // ""     for (int i = 0; i <= maxLength; ++i)      // There are good binary strings with length i, so we can append      // consecutive 0s or 1s after it.      if (dp[i] > 0) {        const int appendZeros = i + zeroGroup;        if (appendZeros <= maxLength) {          dp[appendZeros] += dp[i];          dp[appendZeros] %= kMod;        }        const int appendOnes = i + oneGroup;        if (appendOnes <= maxLength) {          dp[appendOnes] += dp[i];          dp[appendOnes] %= kMod;        }      }     return accumulate(dp.begin() + minLength, dp.end(), 0L) % kMod;  }}; 

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