Introduction
Mathematical Models of Life Support Systems is a component of Encyclopedia of Mathematical Sciences in which is part of the global Encyclopedia of Life Support Systems (EOLSS), an integrated compendium of twenty one Encyclopedias.
The Theme is organized into several topics which represent the main scientific areas of the theme: The first topic, Introduction to Mathematical Modeling discusses the foundations of mathematical modeling and computational experiments, which are formed to support new methodologies of scientific research. The succeeding topics are Mathematical Models in - Water Sciences; Climate; Environmental Pollution and Degradation; Energy Sciences; Food and Agricultural Sciences; Population; Immunology; Medical Sciences; and Control of Catastrophic Processes.
These two volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.
Editor(s) Biography
Valery Agoshkov, Doctor of Sciences, is a Professor of Mathematics and a Leading Researcher of the Institute of Numerical Mathematics, Russian Academy of Sciences. From 1970 until 1980 he was a researcher at the Computing Center of the Siberian Division of the USSR Academy of Sciences in Novosibirsk. In 1975 he received his Ph.D. on the theme “Variational Methods for Neutron Transport Problems” in the field of numerical mathematics. From 1981 to date he has been working at the Institute of Numerical Mathematics, Russian Academy of Sciences (Moscow). He is the head of the Adjoint Equations and Perturbation Theory Group of the Institute of Numerical Mathematics. In 1987 he defended a Doctoral thesis on the theme “Functional Spaces, Generalized Solutions of Transport Equations and their Regularity Properties’ in the field of differential equations. His research interests include the principles of construction of adjoint operators in non-linear problems; the solvability of equations with adjoint operators; domain decomposition methods and the Poincare-Steklov operator theory; numerical methods for partial differential equations; functional spaces, boundary value problems for transport equations and regularity of solutions; inverse problems; optimal control theory and its applications in the data assimilation processes. His scientific results in the above fields have been published in more than 160 papers and nine books.
