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Lecture 1: Introduction and Peak Finding

Lecture 1 Introduction and Peak Finding Fall 2011 Lecture 1: Introduction and Peak Finding Lecture Overview Administrivia Course Overview Peak Finding problem 1D and 2D versions Course Overview This course covers: Efficient procedures for solving problems on large inputs (Ex: Highway Map, Human Genome) Scalability Classic data structures and elementary algorithms (CLRS text) Real implementations in Python Fun problem sets! The course is divided into 8 modules each of which has a motivating problem and problem set(s) (except for the last module). Tentative module topics and motivating problems are as described below: 1. Algorithmic Thinking: Peak Finding 2. Sorting & Trees: Event Simulation 3. Hashing: Genome Comparison 4. Numerics: RSA Encryption 5. Graphs: Rubik s Cube 6. Shortest Paths: Caltech MIT 7. Dynamic Programming: Image Compression 8. Advanced Topics 1 Lecture 1 Introduction and Peak Finding Fall 2011 Peak Finder One-dimensional Version Position 2 is a peak if and only if b a and b c.

Lecture 1 Introduction and Peak Finding 6.006 Fall 2011. Peak Finder. One-dimensional Version. Position 2 is a peak if and only if b ≥ a and b ≥ c. Position 9 is a peak if i ≥ h.

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