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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