Degtiar O. Models for adaptive data approximation within given structural forms

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0415U004581

Thesis Registration Form

0415U004581.pdf

Applicant for

Specialization

  • 01.05.02 - Математичне моделювання та обчислювальні методи

28-09-2015

Specialized Academic Board

Д 26.001.35

Taras Shevchenko National University of Kyiv

Essay

The dissertation is devoted to the problem of elaboration of adaptive algorithms for data approximation with the aid of structural and parametric optimization. Adaptive algorithms for signal approximation were developed using transition to the dual problem for regularization and pseudoinversion. Relevant difference schemes for the processing of dynamic data were given for direct and dual problems. Original adaptive algorithms for data approximation were proposed using second order optimization methods.

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Files

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