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Convergence Properties of Piecewise Power Approximations

Convergence Properties of Piecewise Power Approximations
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摘要 We address the problem of convergence of approximations obtained from two versions of the piecewise power-law representations arisen in Systems Biology. The most important cases of mean-square and uniform convergence are studied in detail. Advantages and drawbacks of the representations as well as properties of both kinds of convergence are discussed. Numerical approximation algorithms related to piecewise power-law representations are described in Appendix. We address the problem of convergence of approximations obtained from two versions of the piecewise power-law representations arisen in Systems Biology. The most important cases of mean-square and uniform convergence are studied in detail. Advantages and drawbacks of the representations as well as properties of both kinds of convergence are discussed. Numerical approximation algorithms related to piecewise power-law representations are described in Appendix.
作者 Arcady Ponosov Anna Machina Valeria Tafintseva Arcady Ponosov;Anna Machina;Valeria Tafintseva(Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, Norway;Department of Mathematics and Statistics, University of Victoria, Victoria, Canada)
出处 《Applied Mathematics》 2016年第13期1440-1445,共16页 应用数学(英文)
关键词 Power-Law Representations Piecewise Nonlinear Approximations Least-Squares Minimization Mean-Square and Uniform Convergence Power-Law Representations Piecewise Nonlinear Approximations Least-Squares Minimization Mean-Square and Uniform Convergence
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