Backtracking can be used to solve:
Linear programming problems
Problems with a single feasible solution
Combinatorial optimization problems
Problems with a fixed set of solutions
Backtracking may lead to a solution that is:
Optimal
Suboptimal
Efficient
Deterministic
Backtracking is best suited for solving problems that involve:
Sorting elements
Searching in a sorted list
Dynamic programming
Exploring all possible solutions
Which of the following is an example of a problem that can be solved using backtracking?
Finding the median of an array
Binary search in a sorted list
Sudoku puzzle solving
Calculating the sum of elements in an array
Which of the following is NOT a characteristic of the backtracking algorithm?
Recursive approach
Breadth-first exploration
Depth-first exploration
Trial and error
Backtracking involves:
Starting from the end of the problem
Using a stack to keep track of solutions
Iterating through all elements in a list
Going back to a previous step if the current step doesn't work
Who coined the term "Backtracking"?
Lehmer
Donald
Ross
Ford
The backtracking algorithm is implemented by constructing a tree of choices known as?
State-chart-tree
Node tree
Backtracking tree
State-space tree
What happens when the backtracking algorithm reaches a complete solution?
It backtracks to the root
It traverses from a different route
it continues searching for other possible solutions
Recursively traverses through the same route
There are 10 questions to complete.