What is Exponantial Time?
Exponential time is a concept in computer science that refers to the time complexity of algorithms where the time required to solve a problem grows exponentially with the size of the input. In simpler terms, as the size of the input increases, the time taken by the algorithm to complete its task increases at an exponential rate. Algorithms with exponential time complexity are often characterized by their inability to efficiently handle large input sizes. This is because the time required to solve the problem quickly becomes impractical or even infeasible as the input size grows. Problems that can only be solved by algorithms with exponential time complexity are often deemed computationally intractable for all but the smallest input sizes. One of the most well-known examples of an algorithm with exponential time complexity is the brute-force approach to solving the traveling salesman problem, which involves trying every possible permutation of cities to find the shortest route. As the n