MMC1004 | Linear Approximation Processes |
Teaching Staff in Charge |
Prof. AGRATINI Octavian, Ph.D., agratinimath.ubbcluj.ro |
Aims |
1. Approaching different construction methods of linear positive operators.
2. Knowing discrete and continuous classes of approximation operators. 3. Knowing basic elements of Fourier Analysis and Wavelets Analysis. |
Content |
1. Modulus of continuity. M-order moduli of smoothness. K-functional. Applications.
2. Operators and functionals. Properties. Basic theorems of approximation by linear positive operators. Korovkin closures and Korovkin subspaces for the identity operator. 3. Discrete operators for functions defined on unbounded intervals. Kantorovich and Durrmeyer type integral extensions. Summation methods. Shift invariant operators. 4. Fourier Transforms. Properties. Gabor formulas for Windowed Fourier Transforms. 5. Wavelet Transforms. Multiresolution Analysis. Wavelet decompositions and reconstructions. |
References |
1. Agratini, O., Aproximare prin operatori liniari, Presa Universitară Clujeană, 2000.
2. Altomare, F., Campiti, M., Korovkin-type Approximation Theory and its Applications, Walter de Gruyter, Vol. 17, Berlin - New York, 1994. 3. Anastassiou, G. A., Gal, S. G., Approximation Theory. Moduli of Continuity and Global Smoothness Preservation, Birkhauser, Boston, 2000. 4. Debnath, L., Wavelet Transforms and their Applications, Birkhauser, Boston, Basel, Berlin, 2002. 5. Gasquet, C., Witomski, P., Analyse de Fourier et applications, Masson, Paris, 1990. 6. Stancu, D. D., Coman, Gh., Agratini, O., Trîmbiţaş, R., Analiză numerică şi teoria aproximării, Vol I, Presa Universitară Clujeană, 2001. |
Assessment |
During the semester: a Control Paper.
In the session: written exam. The final grade: arithmetic mean of the above two marks having the weights 1/3 and 2/3, respectively. |
Links: | Syllabus for all subjects Romanian version for this subject Rtf format for this subject |