I'm a junior Computer Science major with a deadline of March 1st for a semester-long project, but I'm struggling to design a scalable algorithm for a complex data structure, can you suggest a good res?

Focusing on the theoretical constraints of your data structure before attempting to write any code is the most effective way to break this deadlock. When an algorithm isn't scaling as expected, it’s usually because the underlying data access patterns don't align with the operations you're performing most frequently. Start by mapping out your Big O requirements for each primary operation—insertion, deletion, and lookup—and compare those against the standard structures you’ve covered in class. If you find yourself constantly traversing a linked list or performing linear scans where you need logarithmic time, you likely need to pivot toward a tree-based structure or a hash-based approach that better supports your specific access patterns. Don't be afraid to simplify your initial implementation to get something functional on the page. It’s much easier to optimize a working, albeit slow, algorithm than it is to debug a complex, high-performance one that isn't behaving correctly. Once you have a baseline implementation, use a small, controlled dataset to profile where the bottlenecks actually occur. Often, we assume the complexity issue lies in the core logic, but it might actually stem from redundant memory allocations or inefficient object handling within your loops. If you decide to seek external guidance, prioritize someone who asks you to explain your logic rather than someone who just offers to write the code for you. A good peer or tutor should help you identify the specific trade-offs you're making between space and time complexity. Look for someone who can walk through your pseudocode and challenge your assumptions about why a particular structure is necessary. Ultimately, the goal is to ensure you understand the "why" behind the optimization, as that conceptual clarity will be far more valuable for your future coursework than simply hitting the March 1st deadline with a solution you don't fully grasp. You have enough time to refine your approach if you prioritize these structural fundamentals now.