Postgraduate Seminars 2014 - 2015 - 0 views
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Postgraduate Seminars 2014-2015 Programme All seminars will be held at 3:15pm in M/2.06 on Wednesdays unless otherwise stated. If there is a colloquium being held that week then no seminar will be held. Please direct any enquiries to the organizer James Evans (EvansJA8@Cardiff.ac.uk) 15 October 2014 Speaker: James Evans. Title: An Overview of Vector Calculus. Abstract: Vector calculus is an essential tool in most of applied mathematics and concerns itself with the differentiation and integration of vector fields mostly in 3D. The talk will build up to two key theorems; Gauss’ Divergence Theorem and Stokes’ Theorem. Applications in fluid mechanics and electromagnetic theory will be discussed.
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22 October 2014 Speaker: Waleed Ali. Title: Introduction to Statistical Mechanics. Abstract:Ever since James Clerk Maxwell put forward the first-ever statistical law in physics, the idea of “probabilistic mechanics” became a topic of great interest for many disciplines. This seminar will merely introduce the main concepts and the revolutionary ideas that helped shape mechanics and mathematical physics as it is known today. The talk will deal with questions raised in mechanics, statistics, physics, philosophy, history and how they are all tied together. Examples of statistical mechanics will also be briefly discussed, including applications in thermodynamics, quantum mechanics and biology.
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19 November 2014 Speaker: Edd Lewis. Title: On Solving Linear Systems Efficiently. Abstract: Here we discuss the ways in which one can efficiently solve large linear systems of equations, the Ax=b problem. We will start by outlining the nature of the problem, discussing factorization techniques such as QR and Cholesky decomposition before moving on to some iterative solvers. 3 December 2014 Speaker: Brad Hardy. Title: Introduction to Heuristic Methods. Abstract: Heuristic methods are used when an optimal solution would require an excessive, if not infinite, amount of time to obtain. Although not guaranteeing optimality, heuristic methods find “good” solutions in much shorter periods of time. In this talk I will briefly outline why we use heuristic methods and introduce several, different approaches. Throughout, I will use the graph colouring problem (GCP) to illustrate examples and highlight my particular interest in these methods..
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