What are the implications of warm-starting in ResQPASS for iterative solutions
Warm-starting in ResQPASS plays a crucial role in improving iterative solutions by leveraging information from previous iterations. By using the optimal working set from the previous iteration as an initial guess for the next iteration, ResQPASS can significantly reduce computational time and converge faster towards the solution. This approach allows for smoother transitions between iterations and helps maintain progress even when faced with complex optimization landscapes.