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An algorithmic approach to nonlinear analysis and optimization
Functional analysis. --- Mathematical optimization. --- Nonlinear programming. --- Mathematics --- Physical Sciences & Mathematics --- Calculus --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Functional calculus --- Programming (Mathematics) --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Calculus of variations --- Functional equations --- Integral equations --- Functional analysis --- Nonlinear programming --- Linear programming. --- Programmation non linéaire. --- Optimisation mathématique.
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Mathematical Models for Society and Biology, 2e, is a useful resource for researchers, graduate students, and post-docs in the applied mathematics and life science fields. Mathematical modeling is one of the major subfields of mathematical biology. A mathematical model may be used to help explain a system, to study the effects of different components, and to make predictions about behavior. Mathematical Models for Society and Biology, 2e, draws on current issues to engagingly relate how to use mathematics to gain insight into problems in biology and contemporary societ
Biology -- Mathematical models. --- Social sciences -- Mathematical models. --- Social sciences --- Biology --- Social Sciences --- Social Sciences - General --- Mathematical models --- Mathematical models. --- Biological models --- Biomathematics
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