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Last update: doc. RNDr. Jiří Pavlů, Ph.D. (14.01.2019)
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Last update: doc. RNDr. Jiří Pavlů, Ph.D. (14.01.2019)
Back T.: Genetic Algorithms 1, 2, IOP Publishing, London 1999+2000. Debnath L., Bhatta D.: Integral Transforms and Their Application, Chapman and Hall, Boca Raton 2007. Addison P.S.: The Illustrated Wavelet Transform Handbook, IOP Publishing, London 2002. |
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Last update: doc. RNDr. Jiří Pavlů, Ph.D. (14.01.2019)
Main directions of computational physics. Classical and modern computational physics. 2. Evolutionary modelling Darwin evolution theory and evolutionary computation, basic terms, operators. Representations - binary, Gray, permutation, real-value, other. Evaluation of individual - fitness. Basic algorithms. Genetic algorithms. Evolutionary strategies. Genetic programming. Advanced algorithms in evolutionary computation. Applications - NP problems, travelling salesman problem, application in physics. 3. Wavelet transform Fourier transform - summary, other non-localized integral transforms. An approach to partially localized integral transforms - short-time Fourier transform, Gabor transform, application in physics. Wavelet transform - features, wavelets, discrete wavelet transform, complex wavelets, multidimensional wavelets. Relations between Fourier and Wavelet transform. Application in physics. |