Chapters 50 - 52

Thinking Logically & Concurrently

In Chapter 50, I learned about thinking concurrently, which immediately reminded me of parallel processing in an earlier chapter. Concurrent thinking or processing is processing multiple things on the same processor by quickly switching from one task to another, giving the illusion that they are being completed simultaneously. Parallel processing, however, is multiple different processes happemning on different processors at the same time. This ties in with the idea of having multiple cores (parallel processing) on a PC compared to just one (concurrent processing). A few other points to hit the criteria of using li tags:

• Logical reasoning structures problem-solving.
• Concurrency speeds up processing in modern systems.
• Managing concurrent processes prevents errors.

ocr lady

Problem Recognition

Chapter 51 is about defning and categorising problems in a certain way that helps us understand its context. If a problem is computable, it suggests ot can be solved through code, generally for all inputs. It also explains different methods of problem solving, which got me thinking a bit about time complexity. For example, for the enumeration method the time complexity would be linear because it always tries all possible solutions to come to a conclusion.

more about problem recognition on the ocr website.

Problem-Solving Strategies

Chapter 52 focuses on different ways to approach problem-solving. The divide and conquer method is quite a well known idea not just in comouter science, breaking a big problem into smaller, manageable parts (similar to decomposition). Algorithmic thinking involves creating logical, step-by-step plans to solve problems.

• Using heuristics can speed up problem-solving.
• Choosing the right strategy improves efficiency.