I am a fresh software engineering graduate and I am looking for something to improve my problem solving skills, while I did learn about basic algorithms and data structures, I feel like I could learn further more, I know about big O, fast sorting algorithms, dynamic programming, backtracking, binary trees (Although I do not think I know everything about them), I also know about low level memory concepts.

I am sure I forgot to mention some of the stuff I also know about, but I hope the ones I mentioned give a good insights on where I should move onto next.

  • @[email protected]
    3•2 months ago

    There are plenty of good resources online. Here are some topics you probably wouldn’t see in an intro algos course (which I’ve actually used in my career). And I highly recommend finding the motivation for each of these in application rather than just learning them abstractly.

    • bloom filter
    • btree
    • b+ tree
    • consensus algos (PAXOS, RAFT, VSR, etc)
    • error correction codes (Hamming, Reed Solomon, etc)
    • garbage collection (mark+sweep, generational, etc)
    • generational arena allocator
    • lease (i.e. distributed lock)
    • log-structured merge trees
    • min-cost + max-flow
    • request caching and coalescing
    • reservoir sampling
    • spatial partition (BVH, kd-tree, etc)
    • trie
    • write-ahead log