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1. ocw.mit.edu › courses › 18-310-principles-of-discrete-applied-mathematics-fall-2013Principles of Discrete Applied Mathematics - MIT OpenCourseWare

   ocw.mit.edu › courses › 18-310-principles-of-discrete-applied-mathematics-fall-2013

   • Αποθηκευμένο αντίγραφο

   This course is an introduction to discrete applied mathematics. Topics include probability, counting, linear programming, number-theoretic algorithms, sorting, data compression, and error-correcting codes.

   • Lecture Notes

     17.2. The Discrete Fourier Transform. 17.3. Computing the...

   • Syllabus

     This course is an introduction to discrete applied...

   • Calendar

     Sorting Algorithms R8 Math: Linear Programming Duality....

   • Instructor Insights

     Course Overview. This page focuses on the course 18.310...

   • Recitations

     REC # RECITATIONS 1 Math Topics: Probability: Sample Spaces....

   • Assignments

     Homework 4 has three questions, all of them math...

   • Exams

     Discrete Mathematics. Probability and Statistics. Social...

   • Writing Resources

     Math supplement for Academic Integrity Handbook (PDF) This...

2. www.inf.ed.ac.uk › teaching › coursesDiscrete Mathematics, Chapter 3: Algorithms - School of...

   www.inf.ed.ac.uk › teaching › courses

   An algorithm is a finite set of precise instructions for performing a computation or for solving a problem. Example: Describe an algorithm for finding the maximum value in a finite sequence of integers. Description of algorithms in pseudocode: Intermediate step between English prose and formal coding in a programming language.

3. homel.vsb.cz › ~kov16 › filesSolved exercises in Discrete mathematics Sample problems - vsb.cz

   homel.vsb.cz › ~kov16 › files

   This le contains an English version of exercises in the course of Discrete mathematics. Most of the problems were prepared by Michael Kubesa, Tereza Kova rov a, and Petr Kov a r.

4. link.springer.com › book › 10Probabilistic Methods for Algorithmic Discrete Mathematics

   link.springer.com › book › 10

   • Αποθηκευμένο αντίγραφο

   In discrete mathematics at least, nothing could be further from the truth. Introducing random choices into algorithms can improve their performance. The application of proba­ bilistic tools has led to the resolution of combinatorial problems which had resisted attack for decades.

5. www.cis.upenn.edu › ~jean › probaChapter 8 An Introduction to Discrete Probability

   www.cis.upenn.edu › ~jean › proba

   An Introduction to Discrete Probability 8.1 Sample Space, Outcomes, Events, Probability Roughly speaking, probability theory deals with experiments whose outcome are not predictable with certainty. We often call such experiments random experiments. They are subject to chance. Using a mathematical theory of probability, we may be

6. assets.cambridge.org › 97810093 › 05112Modern Discrete Probability - Cambridge University Press &...

   assets.cambridge.org › 97810093 › 05112

   Modern Discrete Probability. Providing a graduate-level introduction to discrete probability and its applications, this book develops a toolkit of essential techniques for analyzing stochastic processes on graphs, other random discrete structures, and algorithms.

7. link.springer.com › chapter › 10Discrete Mathematics for Statistical and Probability Problems -...

   link.springer.com › chapter › 10

   • Αποθηκευμένο αντίγραφο

   6 Ιουλ 2018 · This paper offers a compact presentation of the solid involvement of Discrete Mathematics in various fields of Statistics and Probability Theory. As far as the discrete methodologies in Statistics are concerned, our interest is focused on the foundations and...