-
LANCS Workshop: The 2nd LANCS Workshop on Discrete and Nonlinear Optimisation
The purpose of the workshop is to enable the discrete and non-linear optimisation communities to meet
together and to share ideas.
University of Southampton, Southampton, UK - March 24-26, 2010
-
NATCOR Course: Heuristics and Approximation Algorithms
Heuristics and Approximation Algorithms are Operational Research tools that provide solutions to
real-world problems across a wide range of application areas despite their inherent complexity
and uncertainty. Heuristics are 'rules of thumb' and other clever algorithms that despite being
relatively simple to implement can provide good (though not necessarily optimal) and fast solutions
to otherwise intractable problems. This course features the main techniques and also practical
sessions, so that participants leave with the capabilities to start implementing their own heuristics.
Main contributors: Dr Uwe Aickelin (University of Nottingham), Professor Edmund Burke (University of Nottingham),
Professor Chris Potts (University of Southampton).
University of Nottingham, Nottingham, UK - April 12-16, 2010
-
Spring School on Supply Chain and Transportation Network Design
The Spring School on Supply Chain and Transportation Network Design is aimed at students
and researchers wishing to enlarge their knowledge in this field. Ten tutorial lectures
will be given by internationally renowned scientists. The Spring School will be
immediately preceded by Optimization Days 2010.
HEC Montreal, Canada - May 12-14, 2010
-
EIDMA mini-course on Algebraic Optimization and Semidefinite Programming
This minicourse will focus on theoretical and computational techniques for
optimization problems with algebraic structure (in particular, those
involving polynomial equations and inequalities), emphasizing the
connections with techniques based on semidefinite programming (SDP). The
course will develop in a parallel fashion several algebraic and numerical
approaches to polynomial systems, with a view towards methods that
simultaneously incorporate both elements. We will study both the complex
and real cases, developing techniques of general applicability, and
stressing convexity-based ideas, complexity results, and efficient
implementations.
CWI, Amsterdam, Netherlands - 31st of May to 4th of June, 2010
-
Discrete Choice Analysis: Predicting Demand and Market Shares
In-depth study of discrete choice models (logit, nested logit, generalized extreme value, probit,
logit mixtures), specification, estimation, statistical testing, forecasting, and application.
Topics include analysis of revealed and stated preferences data, sampling, behavioral mixture
models, simulation-based estimation, discrete panel data, Bayesian estimation, discrete-continuous
models, menu choice, and models with latent variables. Learn practical applications, discrete
choice software, and gain hands-on experience.
MIT Professional Education, Cambridge, MA, USA - June 14-18, 2010
-
NATCOR Course: Convex Optimization
The main aims of this course are to develop knowledge of different theoretical aspects of convex
optimization and to develop practical skills in applying optimization technology in the real world.
For doctoral students who are working on the theoretical issues in optimization, it provides a solid
foundation upon which advanced theoretical problems can be addressed in their further research.
For students whose research focus is developing complex optimization models for real life problems,
the course offers plenty of hands-on modelling experience with an industry strength solver.
The course will enable all students to gain deeper and broader insights into the exciting world
of optimization. It promises to be a challenging, stimulating and enjoyable week for all.
Main contributors: Dr Paresh Date (Brunel University), Dr Cormac Lucas (Brunel University),
Prof John Beasley (Brunel University), Dr Nenad Mladenovic (Brunel University), Prof Jacek Gondzio
(University of Edinburgh), Prof Shabbir Ahmed (Georgia Institute of Technology).
Brunel University, London, UK - 28th of June to 2nd of July, 2010
-
Computers in Scientific Discovery 2010 (CSD 5)
CSD 5 is fifth in a series of workshop-style meetings bringing together researchers active
at the interfaces between discrete mathematics, chemistry and computer science. Themes include
applications and algorithms in Chemistry, Bioinformatics, Conjecture-making, Mathematical Education.
University of Sheffield, UK - July 20-23, 2010
-
Modeling and Simulation of Transportation Networks
In-depth study of the most sophisticated transportation network modeling and simulation
methods including: theory and applications of origin-destination estimation and prediction;
traffic flow models and alternative simulation methods; dynamic traffic assignment methods;
models of user behavior; public transportation models; equilibrium methods; calibration and
validation; and real time systems.
MIT Professional Education, Cambridge, MA, USA - August 2-6, 2010
-
EURO Summer Institute (ESI) 2010
The ESI will combine tutorial lectures given by the invited speakers with student contributions
and scientific discussions in small groups. It offers a unique opportunity for young scientists
to acquaint themselves with state of the art methods in combinatorial optimization, to make some
first contacts in the scientific community, and to share their experience with young colleagues
from all over the world.
Klagenfurt, Austria - 20th of August to 4th of September, 2010
-
NATCOR Course: Combinatorial Optimization
Combinatorial optimization problems typically involve finding the best arrangement, ordering,
or selection of objects. There are numerous applications in Operational Research including
scheduling of orders on machines in production industries, routing of vehicles to deliver goods
to customers, and assigning of personnel such as nurses or airline crew to work periods.
This course provides the main approaches and techniques required to tackle combinatorial
optimization problems. The main topics include computational complexity, types of algorithms,
optimization problems in networks, branch-and-cut, and branch-and-price.Main contributors:
John Beasley (Brunel University), Bo Chen (University of Warwick), Adam Letchford (Lancaster University),
Chris Potts (University of Southampton).
University of Southampton, Southampton, UK - September 12-16, 2011
-
NATCOR Course: Stochastic Modelling
Stochastic modelling is concerned with uncertainty. Many of the real-life systems and processes to which
OR methods are applied are not deterministic in nature, but are characterised by significant degrees of
uncertainty. Meaningful analyses of such systems must take serious account of this feature. The Operational
Research literature abounds with applications of stochastic modelling. Healthcare, Transport, Communications,
and Finance are areas which are replete with opportunities for the stochastic modeller. This course will present
some of the theory. Important features of the course will be the use of case studies to illustrate and discuss
applications and the deployment of numerical approaches.
Main contributors: Professor Jeff Griffiths (course leader, Cardiff), Professor Steve
Gallivan (University College, London), Professor Kevin Glazebrook (Lancaster), Dr Tony
Lewins (Ernst & Young), Dr Phil Scarf (Salford), Dr Dave Worthington (Lancaster).
Lancaster University, Lancaster, UK - April 4-8, 2011
