Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Eric's career includes extensive work in both public and ...

This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, martingales, concentration inequalities, branching ...

Studies axioms, counting formulas, conditional probability, independence, random variables, continuous and discrete distribution, expectation, moment generating functions, law of large numbers, ...

Studies axioms, counting formulas, conditional probability, independence, random variables, continuous and discrete distribution, expectation, joint distributions, moment generating functions, law of ...

We are one of the largest and oldest discrete math groups in Canada. Our group has a wide variety of expertise in pure and applied discrete math and combinatorics. Our research themes include ...

In this article the problem of obtaining the maximum likelihood estimates of the parameters from a special type of linear combination of discrete probability functions is discussed. It is shown that ...

National Institute of Technology (NIT) Andhra Pradesh assistant professor Karthick Seshadri has authored a book on ‘Discrete Mathematics with Applications.’ It is a key prerequisite for emerging ...

The Department has a strong faculty working in various topics in discrete mathematics, especially algorithmic aspects. The interface between Theoretical Computer Science and Discrete Mathematics has ...

This course is available on the MSc in Applicable Mathematics and MSc in Operations Research & Analytics. This course is available with permission as an outside option to students on other programmes ...