39. Combination Sum-Recursive Algorithm Solver

Example

Explaining the requirements and constraints of the 'Combination Sum' problem, such as how elements from the array can be reused and the uniqueness of combinations.

Scenario

A user might be unsure about how many times they can use a single number. 39. Combination Sum would clarify by explaining that each number can be used multiple times, illustrating this by showing how the number 2 can be used four times to sum to 8 in the array [2,3,5].

Example

Guiding the user through each step needed to construct a solution, using questions and hints instead of direct answers.

Scenario

If a user struggles to start the problem, 39. Combination Sum might ask, 'What is the smallest number in your array, and how can it contribute to the target sum?' This helps the user to consider starting their combinations with the smallest elements, exploring their repetitive use, and gradually building up to more complex combinations.

Example

Encouraging users to think about different ways to reach the target sum and to consider the implications of choosing certain combinations.

Scenario

In a session where the target is 7 and the array is [2,3,6,7], 39. Combination Sum might pose the question, 'Can you form the target using the highest number in your array?' This prompts the user to realize that the number 7 alone meets the target, fostering insights into both simple and complex solutions.