Full lecture and recitation notes for 6.006 Introduction to Algorithms.

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice.

It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and …

Correctness Programs/algorithms have fixed size, so how to prove correct? For small inputs, can use case analysis For arbitrarily large inputs, algorithm must be recursive or loop in some way Must use …

This is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application.

Complete lecture and problem session videos for 6.006 Introduction to Algorithms.

Introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems.

The goal of this introductions to algorithms class is to teach you to solve computation problems and communicate that your solutions are correct and efficient. Models of computation, data structures, …

Topics covered include: physics of information processing, quantum logic, quantum algorithms including Shor's factoring algorithm and Grover's search algorithm, quantum error correction, quantum …

This section includes 24 lecture notes.