dp(mask) where mask is a bitmask representing the set of tasks that have been completed.mask is 0 (no tasks completed), return (1, 0) indicating one session is needed with 0 time spent.j that is not completed in mask:
a. Calculate the result of completing task j by calling dp(mask - (1 << j)).
b. Determine if adding task j to the current session would exceed the session time, requiring a new session.
c. Update the minimum number of sessions and remaining time accordingly.dp(mask) to avoid redundant calculations.dp((1<<n) - 1)[0], which represents completing all tasks.