Introduction to Graduate Algorithms
Description
It is a graduate-level course within the design and evaluation of algorithms. We examine methods for the design of algorithms (corresponding to dynamic programming) and algorithms for elementary issues (corresponding to quick Fourier rework or FFT).
As well as, we examine computational intractability, particularly, the idea of NP-completeness. The principle matters lined within the course embrace: dynamic programming; divide and conquer, together with FFT; randomized algorithms, together with RSA cryptosystem and hashing utilizing Bloom filters; graph algorithms; max-flow algorithms; linear programming; and NP-completeness.
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