Backtracking algorithms are problem solving techniques that help to discover different choices to find the best solution possible.
Backtracking uses recursion and explores options systematically, backtracking when needed.
Some real-world applications of backtracking include solving puzzles, finding shortest paths, scheduling problems, and network optimization.
Backtracking solves problems like Rat in a Maze, N-Queen Problem, and Hamiltonian Circuit by exploring all possibilities and backtracking when necessary.