How do I approach problems with multiple constraints?
Break the problem into smaller parts, solve each constraint, and combine the results.
Problems with multiple constraints can be tricky, but breaking them down into smaller, manageable parts makes them easier to solve. Start by analyzing each constraint independently and coming up with a solution that satisfies each one. Then, think about how to combine these solutions without violating any of the constraints. Sometimes dynamic programming or a greedy approach can help here, while in other cases, you may need to use backtracking or branch-and-bound techniques to explore all possible combinations. The key is to methodically address each constraint while keeping the overall solution efficient.
