Today brings links to my collection of technical articles, Algorithm.

Data structures and algorithms, I didn’t learn very well in school. Until the last stage in the last home, squeezed a period of time to seriously learn and review. I have read “Algorithm diagram”, “my first algorithm book” two books, “big Talk data structure” is also in the process of reading, have not finished reading. Then according to the attached code sample book (grokking_algorithms, PlayWithDataStructureSourceCode), combed the classic subject train of thought process.

In the process of watching and learning, in the cattle also brush up questions to deepen the impression, to practice multiple choice questions.

Self feel do very average, still want to work harder.

List of articles:

  • Sorting algorithm 4: binary insertion sort
  • Introduction to radix sort and its parallelization
  • Sort three – quick sort before and after pointer method
  • Read cache elimination algorithm: LFU algorithm
  • Ten massive data processing interview questions and ten methods summary
  • High concurrency system flow limiting – leakage bucket algorithm and token bucket algorithm
  • LRU algorithm principle analysis
  • Programmers need to know the core knowledge of compression algorithms
  • Well, that’s a brain-sucking LFU
  • Consensus algorithm: Raft
  • String matching — Sunday algorithm
  • Stack, heap, global area, constant area, code area
  • The difference between heap and stack
  • Heap vs. stack
  • Red black tree details
  • Red Black Tree in 5 Minutes
  • This section describes the principles, application scenarios, and precautions of bloom filters
  • HyperLogLog Indicates the base statistics
  • B tree and B+ tree interpretation

Algorithm: article github.com/mysticzhong…