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This book enables readers to understand, model, and predict complex dynamical systems using new methods with stochastic tools.
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Nonlinear Approaches in Engineering Applications: Design Engineering Problems examines the latest applications of nonlinear approaches in engineering and addresses a range of scientific problems.
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This book presents computer simulations using molecular dynamics techniques in statistical physics, with a focus on macromolecular systems.
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The intriguing connection between Euclidean Quantum Field Theories (QFTs) and statistical mechanics can be used to apply Markov Chain Monte Carlo (MCMC) methods to investigate strongly coupled QFTs.
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Perfect for data scientists, students, and applied researchers, this book offers practical Python tutorials and simulations mirroring real-world case... Læs mere
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An accessible and interdisciplinary introduction to the applications of statistical mechanics across the sciences. The book contains... Læs mere
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Entropy is an idea that is no less important than energy, but it is not widely understood. We are surrounded by free energy: what we value is energy that's not too... Læs mere
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This Element presents the ?-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years... Læs mere
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This book of problems and solutions in classical mechanics is dedicated to junior or senior undergraduate students in physics, engineering, applied... Læs mere
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Thermodynamics can never be made easy, but with the right approach and a use of scientific terms it can be made easier, and it can give a person an insight into... Læs mere
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This book provides an accessible introduction to thermal physics with computational approaches that complement the traditional mathematical treatments of classical thermodynamics and statistical mechanics.