A single algorithmic improvement great startup can have a greater impact on our ability to solve a problem than ten years of incremental hardware improvements.
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We study techniques for designing and analyzing algorithms.
They're pretty fancy.
Dynamic programming
Divide and conquer algorithm design
Fourier transforms
Competitive analysis and online algorithms
Data structures
Self-balancing binary search trees
Information compression
Greedy algorithms
NP hardness
Optimization techniques
Convex optimization
Local search
Linear programming and duality
Maximum matching and max-flow
Parallel GPU computing