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"This unique book on statistical physics offers an advanced approach with numerous applications to the modern problems students are confronted with. Therefore the text contains more concepts and methods in statistics than the student would need for statistical mechanics alone. Methods from mathematical statistics and stochastics for the analysis of data are discussed as well.The book is divided into two parts, focusing first on the modeling of statistical systems and then on the analysis of these systems. Problems with hints for solution help the students to deepen their knowledge. The third edition has been updated and enlarged with new sections deepening the knowledge about data analysis. Moreover, a customized set of problems with solutions is accessible on the Web at extras.springer.com."

"Wellness nutrition -- Personal and community nutrition -- Digestion, absorption, and metabolism -- Carbohydrates -- Fats -- Protein -- Vitamins -- Water and minerals -- Energy supply and fitness -- Management of body composition -- Life span health promotion : pregnancy, lactation, and infancy -- Life span health promotion : childhood and adolescence -- Life span health promotion : adulthood -- Nutrition in patient care -- Nutrition and metabolic stress -- Interactions: complementary and alternative medicine, dietary supplements, and medications -- Nutrition for disorders of the gastrointestinal tract -- Nutrition for disorders of the liver, gallbladder, and pancreas -- Nutrition for diabetes mellitus -- Nutrition for cardiovascular and respiratory diseases -- Nutrition for diseases of the kidneys -- Nutrition in cancer, aids, and other special problems."

"Lagrange multiplier theory provides a tool for the analysis of a general class of nonlinear variational problems and is the basis for developing efficient and powerful iterative methods for solving these problems. This comprehensive monograph analyzes Lagrange multiplier theory and shows its impact on the development of numerical algorithms for problems posed in a function space setting. The book is motivated by the idea that a full treatment of a variational problem in function spaces would not be complete without a discussion of infinite-dimensional analysis, proper discretization, and the relationship between the two.The authors develop and analyze efficient algorithms for constrained optimization and convex optimization problems based on the augumented Lagrangian concept and cover such topics as sensitivity analysis, convex optimization, second order methods, and shape sensitivity calculus. General theory is applied to challenging problems in optimal control of partial differential equations, image analysis, mechanical contact and friction problems, and American options for the Blackcholes model."