Software Development Engineering

Infer an appropriate target time complexity from a problem’s input constraints.

Select a Java data structure by matching its operation costs to the algorithm’s needs.

Estimate recursion depth and auxiliary stack usage, and choose an iterative Java implementation when recursion is unsafe.

Compute the total complexity of a monotonic-pointer loop by bounding each pointer’s movement.

Write overflow-safe Java comparators for arrays, collections, and priority queues.

State the invariant that explains why an iterative or recursive algorithm is correct.

Construct boundary and adversarial test cases before submitting an implementation.