Invited Lectures

 


Title Author  Affiliation 
Combinatorial Optimization in Telecommunications Mauricio Resende AT&T, USA
Transforms, Algorithms and Applications Joana Soares U. Minho, Portugal
Controllability of PDE's and its Discrete Approximations Enrique Zuazua U. A. Madrid, Spain
Evolutionary Computing Eckart Zitzler SFIT, Swithzerland
Stochastic Processes in Telecommunications traffic Ivete Gomes CEAUL, Portugal





  Maurício Resende, AT&T, USA
  Title:
Combinatorial Optimization in Telecommunications

Synopsis:
Combinatorial optimization problems are abundant in the telecommunications industry. In this tutorial, we present four real-world telecommunications applications where combinatorial optimization plays a major role. The first problem concerns the optimal location of modem pools for an internet service provider. The second problem deals with the optimal routing of permanent virtual circuits for a frame relay service. In the third problem, one seeks to optimally design a SONET ring network. The last problem comes up when one wants to determine optimal link weights in internet OSPF routing.




  Joana Soares, Universidade do Minho, Portugal
  Title:
Transforms, Algorithms and Applications

Synopsis:
Fourier transforms and other related transforms are an essential tool in applications of science, engineering and technology. In fact, much of the work currently being done in mathematics, physics and engineering has its roots in Fouriers pioneering idea of representing an arbitrary function as the sum of a trigonometric series. The main purpose of this course is to give an overview of Fourier?related transforms, namely: continuous Fourier transform, discrete Fourier transform, fast Fourier transform (FFT), discrete sine and cosine transforms (DST, DCT), local sine and cosine transforms, Fourier series, Z?transform, windowed Fourier transform, continuous and discrete wavelet transforms. Applications of the transforms to telecommunications will be emphasized and fast algorithms for the computation of discrete transforms will be presented.




  Enrique Zuazua, Universidad Autdnoma de Madrid, Spain
  Title:
Controllability of PDE's and its discrete approximations

Synopsis:
In this series of lectures we shall discuss several topics related with the analysis, numerical simulation and control of Partial Differential Equations arising in various contexts of Science and Technology. We shall focus mainly on wave-like phenomena. In particular, we shall discuss the controllability of planar networks of vibrating strings that undergo transversal deformations, based on recent joint work with R. Dager. We shall also discuss the problem of numerical approximation and, in particular, we shall try to answer to the question of whether the processes of control and numerical discretization conmute. As we shall see, the answer depends in a very sensitive way on the type of control problem under consideration and also on the model one is considering. We shall discuss this problem both for the wave and Schrödinger equations.



  Eckart Zitzler, Swiss Federal Institute of Technology, Switzerland
  Title:
Evolutionary Algorithms, Multiobjective Optimization, and Applications

Synopsis:
The term evolutionary algorithm (EA) stands for a class of stochastic optimization methods that simulate the process of natural evolution: a set of candidate solutions repeatedly undergoes selection and variation in order to generate better solutions. Although the underlying principles are simple, these algorithms have proven themselves as a general, robust and powerful search mechanism. In particular, they possess characteristics that are desirable with optimization problems involving multiple objectives.
This lecture consists of three parts. The first parts gives an introduction to evolutionary computation covering historical roots, basic principles, as well as practical and theoretical aspects. The second part focuses on optimization, in particular in the presence of multiple optimization criteria, and the application of evolutionary algorithms to multiobjective optimization problems in general. Finally, it is demonstrated how evolutionary multiobjective optimization is used in the field of telecommunications and related areas.



  Ivete Gomes, Universidade de Lisboa, Portugal
  Title:
Stochastic Processes in Telecommunication Traffic

Synopsis:
The main goal of this short course is to review various models, within the queueing framework, which have been suggested for tele-traffic data.
Those models intend to capture the specific features of the data, such as variability of arrival rates, heavy-taildeness of on-periods and off-periods, as well as long-range dependence in teletraffic transmission. Some of the topics we intend to cover are:
   1. Poisson arrivals;
   2. Renewal arrival streams;
   3. A Markov modulated Poisson process as an arrival process;
   4. Efficient techniques for the analysis of Quasi-Birth-Death processes;
   5. Classical models without long range dependence and delays' underestimation;
   6. Network self similarity and heavy tailed transmission times: subexponentiality.



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