# Probability and computing randomized algorithms and probabilistic analysis pdf

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- MA-INF 1213: Randomized Algorithms & Probabilistic Analysis
- Probability and Computing: Randomized Algorithms and Probabilistic Analysis
- Randomized Algorithms

## MA-INF 1213: Randomized Algorithms & Probabilistic Analysis

Probabilistic Method : The counting argument, the expectation argument, sample and modify, the second moment method, the conditional expectation inequality, the Lovasz local lemma.

Markov Chains and Random Walks : Basic definitions, stationary distribution, variation distance and mixing time and their relation to graph spectrum, random walks on undirected graphs, the Monte Carlo method, the Metropolis algorithm, coupling.

John Augustine's Website. John's Calendar. News and Thoughts. Academic Honesty. Recommendations and References. Almost every aspect of computer science today is influenced by probability theory in one way or another. This course will introduce the power of probability theory and randomization techniques in computer science at large, with particular emphasis on analyzing algorithms that employ randomization.

We will be posting updates and announcements here. This can also be used to discuss problems and solutions. Thanks to Prof. Pandurangan for covering from Sept 27 - Oct 5.

Assignment 1 template. Release date: Aug 4. Note: Due to delays in setting up moodle, the deadline for this assignment will be Assignment 2 template.

Release date Aug Deadline Aug 20, The moodle link will be opened up on Aug 18th. Assignment 3 template. Java Template. Last updated on Aug 26, 6. Deadline Aug 27, Assignment 4 template. Release date Sept 9. Deadline Sept 17, Assignment 5 template. Assignment 6 template. Assignment 7 template.

Assignment 8 template. Due: Oct 22, Just for this one time, you can upload a scanned copy of a handwritten solution. Your scanned file must be a. As usual, it must be zipped and uploaded into Moodle. Assignment 9 template. Due: Nov 6, Assignment Section Due: Nov 12, Please code using JAVA. You have to typeset your answer using latex, zip it up along with the JAVA code that you write, and upload it to Moodle. Templates : Latex assignment template and Java program template.

Quizzes: Quiz 1 template. Last updated on Sept 2 at 12PM. Your answers must be written formally and clearly. Moodle upload link will be created shortly. The submission is due at 4. Please do not refer to any source other than the textbook and your own class notes. Here are my expectations. Homework: There will be a short homework assignment every week and it will be released before Friday so that you can discuss them on Friday in class.

Latex template and submission procedure will be provided shortly.

## Probability and Computing: Randomized Algorithms and Probabilistic Analysis

Pemmaraju G MLH, sriram-pemmaraju uiowa. Course webpage: homepage. In this course we will study the use of randomization in the design of algorithms. Specifically, we will study: various fundamental principles in the design of randomized algorithms such as the first and second moment method, random sampling and sketching, hashing, probability amplification, etc. If you do not have the latter prerequisite, but still want to take the course, please talk to me.

## Randomized Algorithms

Goodreads helps you keep track of books you want to read. Want to Read saving…. Want to Read Currently Reading Read. Other editions.

Scribe notes: Here is the latex template you should use for your scribe notes. Here is a sample latex file and the resulting sample pdf. You will also need this preamble file.

*Seth Gilbert Tuesday pm - pm I*