I am a shopomore in university.
And I‘m learning algorithm alone.

I have a question that how deeply should i study? (working with normal performance)
For instance, I learned boyer-moore algorithm. But it has many heuristics (i.e. Bad characters and good suffix). In this case, its difficult to understand all of them (in a short time)
So should I learn all to work in company or do projects?

>Solution :

When studying complex algorithms or concepts like the Boyer-Moore algorithm, it’s essential to strike a balance between depth and practicality, especially when aiming for a normal performance level or working on projects in a company setting. Here are some considerations:

Understanding the Basics: Ensure you have a solid understanding of the core principles and the primary mechanism of the algorithm. This includes comprehending its purpose, its general approach, and how it achieves efficiency in searching.

Focus on Application: Emphasize practical application rather than memorizing every heuristic or intricate detail. In a professional setting, knowing how to implement the algorithm effectively and solve problems using it is often more critical than memorizing every heuristic.

Learning on the Job: Companies typically prioritize your ability to solve problems and contribute effectively to projects. You’ll often have resources, documentation, and colleagues to consult if you encounter specific challenges related to algorithms like Boyer-Moore. Hands-on experience and learning while doing projects can be invaluable.

Understand Trade-offs: Recognize that some heuristics might have more significant impacts than others in specific contexts. Knowing when and how to apply these heuristics effectively is more crucial than memorizing them all.

Continuous Learning: Algorithms and technologies evolve. Continuously improve your understanding as you encounter real-world problems or as you advance in your career. Use resources like books, online courses, or professional communities to deepen your knowledge gradually.

Balancing Depth with Time Constraints: In a professional setting, time constraints are common. Strive to achieve a level of understanding that enables you to use the algorithm effectively within these constraints. Prioritize efficiency in your learning process.

Ultimately, the depth of understanding required depends on your specific role, the projects you’re working on, and the expectations of your employer. Striking the right balance between understanding the fundamentals and practical application is key. Aim to be proficient in applying the Boyer-Moore algorithm to solve problems rather than getting lost in exhaustive details initially. Over time, as you gain experience and encounter more diverse challenges, you can delve deeper into the nuances of the algorithm.