An introduction to Algorithms-this book

The key is to achieve what ~, the algorithm is used to solve the actual problem.

Encoding, decoding, Huffman algorithm (prefix-coded lossless compression algorithm) the experience of the predecessors is still very cool. We're all standing on the shoulders of giants

Fibonacci sequence

Data structure: queue, stack, linked list, binary tree, red black tree,

Bayesian law (conditional probability)

Variance and Standard deviation

Matrix manipulation (LUA decomposition, Lagrangian formula)

Multithreading algorithm (how to use in multi-core CPU)

Fourier transform: a function that satisfies certain conditions is represented as trigonometric functions or as a linear combination of their integrals. FFTW time domain, frequency domain analysis

Basic data structure needs support: Query, modify, delete, add, max, Min, sort

The complexity-----of the algorithm is critical

An introduction to Algorithms-this book