Complexity in data structure and algorithm
Huge information is information so vast that it doesn't fit in the fundamental memory of a solitary machine, and the need to prepare huge information by productive calculations emerges in Internet seeks, system activity checking, machine learning, experimental figuring, signal handling, and a few different territories. This course will cover numerically exhaustive models for increasing such calculations, and some provable confinements of calculations working in those models.
- Data Stream Algorithms
- Randomized Algorithms for Matrices and Data
- Algorithmic Techniques for Big Data Analysis
- Models of Computation for Massive Data
- The Modern Algorithmic Toolbox
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