Chapter 9 Summary
In chapter 9, titled "Algorithm Design Techniques", we delved into the myriad ways to design algorithms to solve computational problems. These techniques are the backbone of problem-solving in computer science and a good understanding of these will enable you to effectively tackle many complex problems.
We started off with Recursion, which is a method of solving problems where the solution depends on solutions to smaller instances of the same problem. It involves a function calling itself with a smaller problem, the solution of which will contribute to solving the original problem. We covered the essential concepts of base case and recursive case, which ensure the recursion doesn't go on indefinitely. We also addressed some of the key considerations when using recursion, including stack overflow and the need for memoization to avoid redundant computations.
Next, we explored the Iterative approach which, in contrast to recursion, uses a loop construct...