Step-by-step explanation:
To modify the dynamic programming algorithm for the coin-collecting problem when some cells on the board are inaccessible for the robot, we need to account for these inaccessible cells in our calculations. Here are the modifications:
Initialize the dynamic programming table: Set the value of inaccessible cells to negative infinity or any other suitable value that indicates they are not reachable.
Update the transition rules: When calculating the maximum number of coins collected at each cell, consider only the cells that are accessible. Exclude the inaccessible cells from the calculations. This ensures that the robot does not consider inaccessible cells as valid options for movement.
Handle boundary cases: If the starting cell or the destination cell is inaccessible, adjust the initialization and termination conditions accordingly. For example, if the starting cell is inaccessible, set the value of the starting cell in the dynamic programming table to 0 or any other suitable value.
By incorporating these modifications, the dynamic programming algorithm will properly handle the presence of inaccessible cells on the board and compute the maximum number of coins the robot can collect while avoiding those inaccessible cells.