Sipser complexity theory

The key idea to measure time and space as a function of the length of the input came in the early 1960's by Hartmanis and Stearns.
And thus computational complexity was born.
In the early days of complexity, researchers just tried understanding these new measures and how they related to each other.
Theory of computation (TOC) is a branch of Computer Science that is concerned with how problems can be solved using algorithms and how efficiently they can be solved.
Real-world computers perform computations that by nature run like mathematical models to solve problems in systematic ways.

Sipser specializes in algorithms and complexity theory, specifically efficient error correcting codes, interactive proof systems, randomness, quantum BiographyScientific career

American theoretical computer scientist (born 1954)

Michael Fredric Sipser is an American theoretical computer scientist who has made early contributions to computational complexity theory.
He is a professor of applied mathematics and was the Dean of Science at the Massachusetts Institute of Technology.

Categories

Complexity time theory
Time complexity theory of computation
Complexity theory running time
Times complexity theory
Williams complexity theory
Complexity theory exams
Bounded complexity theory
Complexity theory lower bound algorithm
Complexity theory companion
Complexity theory components
Complexity theory combinatorics
Complexity theory constraints
Complexity theory complication
Complexity theory computer science definition
Complexity theory cognitive psychology
What does complexity theory do
How complexity theory
Local complexity theory
Low complexity theory definition
Logspace complexity theory