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Lecture Notes on Design and analysis of algorithms

What do you learn in algorithm design?
Course Overview: Introduction to fundamental techniques for designing and analyzing algorithms, including asymptotic analysis; divide-and-conquer algorithms and recurrences; greedy algorithms; data structures; dynamic programming; graph algorithms; and randomized algorithms. Required textbook: Kleinberg and Tardos, Algorithm Design, 2005.
What is an algorithm in Computer Science?
ISO 9001:2015 Certified Institute) Informal Definition: An Algorithm is any well-defined computational procedure that takes some value or set of values as Input and produces a set of values or some value as output. Thus algorithm is a sequence of computational steps that transforms the i/p into the o/p.
Which method should be used to describe an algorithm?
Graphic representation called flowchart: This method will work well when the algorithm is small& simple. Pseudo-code Method: In this method, we should typically describe algorithms as program, which resembles language like Pascal & algol. Comments begin with // and continue until the end of line.
How does a low bound algorithm work?
This technique establishes lower bounds by creating an input instance, based on the performance of the algorithm, which guarantees that the algorithm must do a determined amount of work on this input in order to be correct for this input. This amount of work then gives a lower bound for the worst-case complexity of the algorithm.

What do you learn in algorithm design?