Mathematical Modeling for System Analysis in Agricultural       Research - K. Vohnout

Mathematical Modeling for System Analysis in Agricultural Research

By: K. Vohnout

Hardcover | 27 March 2003

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Contents. Preface. Acknowledgements. 1. The scope of system anal ysis. The mathematical concept of a system. Classification of a gricultural systems. Using linear models in agricultural research. <STRO NG>2. Characteristic values. Systems of linear equations. Solvi ng linear systems. Characteristic equation, roots and vectors. 3 . The calculus foundation of modeling. Series. Finite differenc es. Differentials. Difference equations. Differential equations. 4. Selected transform procedures. Partial fraction expansions. Complex numbers. The laplace transform. The Z Transform. 5. Cur ve fitting and evaluation. Theoretical basis of nonlinear curve fitting. Computation of the model parameters. Evaluation of the mathema tical model and system behavior. 6. Framework for modeling agric ultural systems. The system variables. System dynamics. Respons e functions. Transfer functions. Structural properties of systems. <STRO NG>7. Stochastic models of systems. Modeling of stochastic agri cultural systems. The powers of a probability matrix. Markov processes i step-by-step guide for mathematical modeling of agricultural systems, starting with the statement of the research problem and up to implementing the project and running system experiments.
Industry Reviews
J. Gibbons ...the book is a useful primer and introduction for readers with a sufficient mathematical background and interest in developing models. Journal of Agricultural Science

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