Temat: nonlinear least squares - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A mixed integer nonlinear programming formulation for the problem of fitting positive exponential sums to empirical data
Autorzy:: Alvarez, A.
Lara, H.
Powiązania:: https://bibliotekanauki.pl/articles/254845.pdf
Data publikacji:: 2011
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: mixed integer nonlinear programming
regularization
nonlinear least squares
Opis:: In this work we deal with exponential sum models coming from data acquisition in the empirical sciences. We present a two step approach based on Tikhonov regularization and combinatorial optimization, to obtain stable parameter estimations, which fit the data. We develop properties of the solutions, based on their optimality conditions. Some numerical experiments are shown to illustrate our approach.
Źródło:: Opuscula Mathematica; 2011, 31, 4; 481-499
1232-9274
2300-6919
Pojawia się w:: Opuscula Mathematica
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Estimation of composite load model parameters as a constrained nonlinear problem
Autorzy:: Regulski, P.
Powiązania:: https://bibliotekanauki.pl/articles/410597.pdf
Data publikacji:: 2015
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: composite load model
nonlinear optimization
nonlinear least squares
genetic algorithms
sequential quadratic programming
Opis:: This paper presents the results of application of sequential quadratic programming to the estimation of the unknown composite load model parameters. Traditionally applied estimation methods, such as nonlinear least squares or genetic algorithms, suffer from a number of issues. Genetic algorithms exhibit premature convergence and require high computational resources and nonlinear least squares method is very sensitive to the initial guess and can diverge easily. This paper provides a comparison of all three methods based on computer-generated signals serving as field measurements. Accuracy and precision are assessed as well as computational requirements.
Źródło:: Present Problems of Power System Control; 2015, 6; 33-42
2084-2201
Pojawia się w:: Present Problems of Power System Control
Dostawca treści:: Biblioteka Nauki

Artykuł

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