NONLINEAR MODELS. THEORY, SOFTWARE AND APPLICATIONS
NONLINEAR MODELS. THEORY, SOFTWARE AND APPLICATIONS

Summary/Abstract: This paper presents mathematical models that estimate nonlinear evolution processes or phenomena based on parameters that define processes and phenomena in pursuit of calculations and approximations (fitting) of experimental data. It addresses the non-linear model (nonlinear regression), the method of Least Squares (MLS) with examples. Are presented theoretical calculations for logarithmic and exponential models realizing a comparison with results obtained using software. In practice in various scientific, economic, social, etc.. occur most complex problems to be solved. Science and scientific research have developed influenced by the complexity of these issues and human society projects. Treasury of human knowledge is influenced by science and technology, culture and art, and in particular how to solve unsolved problems of human society. Such problems arise in chemistry, biology and medicine, physics and geology, in economics and sociology, etc.. To study and analyze processes and phenomena such activities require valid and effective methods and techniques so that models used to eliminate as many uncertainties and approximations. In practice, the study of various processes and phenomena is a wide variety of nonlinear models. The diversity of these nonlinear models depends on the variety fields of chemistry, physics, medicine, biology, sociology, economics, etc. Mathematics and Computer Science have changed dramatically analiya project on methods and analysis of experimental data. Chemistry, biology, pharmacokinetics are areas / disciplines have greatly benefited from the development of theories, methods and techniques of Mathematics and Computer Science via computer. Today procedures for drug testing include important results obtained in research on drug use in the treatment of various diseases. Bioinformatics, Biostatistics and Biopharmaceutics are disciplines that provide various methods and analysis on the pharmacokinetics.

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