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Mathematical Physiology

by James Keener e James Sneyd

OUT OF STOCK OR NOT AVAILABLE

 The intersection of mathematics and physiology has a rich history, with mathematical models playing a critical role in advancing our understanding of physiological systems, from basic cellular dynamics to complex systems biology.
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Stereology - Theory And Applications

by Luis Manuel Cruz-Orive

~~115,59€~~ 80,91€ 30% OFF

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 Sampling is usually systematic (i.e., with regularly spaced probes), and sparse (as opposed to reconstructions) and it is thereby efficient and easy to implement.Stereology is essentially geometric sampling, grounded on integral geometry.
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Bifurcation Theory Of Pattern Formation In Economic Geography

by Kiyohiro Ikeda e Yuki Takayama

~~124,37€~~ 87,06€ 30% OFF

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 Dive into the fascinating world of economic agglomerations with this interdisciplinary study, which is perfect for readers in nonlinear mathematics, economic geography, and spatial economics.
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Bifurcation Theory Of Pattern Formation In Economic Geography

by Kiyohiro Ikeda e Yuki Takayama

~~158,99€~~ 143,09€ 10% OFF

 Dive into the fascinating world of economic agglomerations with this interdisciplinary study, which is perfect for readers in nonlinear mathematics, economic geography, and spatial economics.
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Data-Driven Modelling And Scientific Machine Learning In Continuum Physics

by Krishna Garikipati

~~145,74€~~ 131,17€ 10% OFF

 <p>This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science—specifically in continuum physics. It develops the foundations and details a number of scientific machine learning approaches to enrich current computational models of continuum physics, or to use the data generated by these models to infer more information on these problems. The perspective presented here is drawn from recent research by the author and collaborators. Applications drawn from the physics of materials or from biophysics illustrate each topic. Some elements of the theoretical background in continuum physics that are essential to address these applications are developed first. These chapters focus on nonlinear elasticity and mass transport, with particular attention directed at descriptions of phase separation. This is followed by a brief treatment of the finite element method, since it is the most widely used approach to solve coupled partial differential equations in continuum physics.</p><p> </p><p>With these foundations established, the treatment proceeds to a number of recent developments in data-driven methods and scientific machine learning in the context of the continuum physics of materials and biosystems. This part of the monograph begins by addressing numerical homogenization of microstructural response using feed-forward as well as convolutional neural networks. Next is surrogate optimization using multifidelity learning for problems of phase evolution. Graph theory bears many equivalences to partial differential equations in its properties of representation and avenues for analysis as well as reduced-order descriptions--all ideas that offer fruitful opportunities for exploration. Neural networks, by their capacity for representation of high-dimensional functions, are powerful for scale bridging in physics--an idea on which we present a particular perspective in the context of alloys.</p><p> </p><p>One of the most compelling ideas in scientific machine learning is the identification of governing equations from dynamical data--another topic that we explore from the viewpoint of partial differential equations encoding mechanisms. This is followed by an examination of approaches to replace traditional, discretization-based solvers of partial differential equations with deterministic and probabilistic neural networks that generalize across boundary value problems. The monograph closes with a brief outlook on current emerging ideas in scientific machine learning.</p>
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Modeling Behavior And Population Dynamics - Seabirds, Seals, And Marine Iguanas

by James L. Hayward, Jim M. Cushing e Shandelle M. Henson

~~124,37€~~ 87,06€ 30% OFF

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 This monograph summarizes several decades of collaborations between ecologists and mathematicians, presenting novel applications in biological modeling.
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Stereology - Theory And Applications

by Luis Manuel Cruz-Orive

~~145,09€~~ 130,58€ 10% OFF

 <p>This book presents a comprehensive set of methods for quantifying geometric quantities such as the volume of a tumor, the total surface area of the alveoli in a lung, the length of plant roots, or of blood vessels, the number of neurons in a brain compartment, the connectivity number of trabecular bone, the mean size of grains in a rock, etc.. The methods, illustrated by twenty solved case studies, are based on properly sampled slices, sections, or projections of the material, observable under light, laser, or electron microscopy, or under non-invasive radiological devices such as ecography, computed tomography, or magnetic resonance imaging. Thus, the input usually consists of flat images, and the output consists of relevant quantities defined in three dimensions. Stereology is the discipline of providing sampling designs which warrant unbiased estimation of the corresponding quantities, that is, estimation with zero mean deviation from the target. Sampling is usually systematic (i.e., with regularly spaced probes), and sparse (as opposed to reconstructions) and it is thereby efficient and easy to implement.</p><p>Stereology is essentially geometric sampling, grounded on integral geometry. The necessary elements of both disciplines are detailed in textbook style, and may be used for postgraduate courses, or to serve the interest of scientists in general. Hitherto no other book on stereology has appeared which encompasses the theory, methodology, and applications of stereology in an interconnected and comprehensive way. The currently available error variance prediction formulae under systematic sampling, and their (non-obvious) derivation, are all gathered, for the first time, in the last chapter. The exposition is augmented by 127 line drawings for the theory, and 27 color pictures of real materials for the case studies.<br></p><div><br></div>
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Mathematical Principles In Bioinformatics

by Hongyu Yu, Kun Tian, Stephen S.-T. Yau e Xin Zhao

~~66,24€~~ 59,62€ 10% OFF

 This textbook introduces bioinformatics to students in mathematics with no biology background assumed and it provides solid mathematical tools for biology students along with an understanding of how to implement them in bioinformatics problems.
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Modeling Behavior And Population Dynamics - Seabirds, Seals, And Marine Iguanas

by James L. Hayward, Jim M. Cushing e Shandelle M. Henson

~~158,34€~~ 142,51€ 10% OFF

 This monograph summarizes several decades of collaborations between ecologists and mathematicians, presenting novel applications in biological modeling.
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Mathematical Principles In Bioinformatics

by Hongyu Yu, Kun Tian, Stephen S.-T. Yau e Xin Zhao

~~67,58€~~ 47,31€ 30% OFF

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 This textbook introduces bioinformatics to students in mathematics with no biology background assumed and it provides solid mathematical tools for biology students along with an understanding of how to implement them in bioinformatics problems.
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Acquired Neuromuscular Disorders - Pathogenesis, Diagnosis And Treatment

~~162,21€~~ 113,55€ 30% OFF

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 The second section then presents the differential diagnosis of acquired myopathies based on clinical, electrophysiological, muscle biopsy, and serological criteria, discussing in detail relevant clinical conditions such as including myasthenia gravis, polymyositis, and statin myopathies.
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Systems With Persistent Memory - Controllability, Stability, Identification

by Luciano Pandolfi

~~115,59€~~ 80,91€ 30% OFF

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 This text addresses systems with persistent memory that are common mathematical models used in the study of viscoelasticity and thermodynamics with memory.
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Stochastic Elasticity - A Nondeterministic Approach To The Nonlinear Field Theory

by L. Angela Mihai

119,24€ + 10% CARD

 Stochastic elasticity is a fast developing field that combines nonlinear elasticity and stochastic theories in order to significantly improve model predictions by accounting for uncertainties in the mechanical responses of materials. However, in contrast to the tremendous development of computational methods for large-scale problems, which have been proposed and implemented extensively in recent years, at the fundamental level, there is very little understanding of the uncertainties in the behaviour of elastic materials under large strains.<div><br><div>Based on the idea that every large-scale problem starts as a small-scale data problem, this book combines fundamental aspects of finite (large-strain) elasticity and probability theories, which are prerequisites for the quantification of uncertainties in the elastic responses of soft materials. </div><div>The problems treated in this book are drawn from the analytical continuum mechanics literature and incorporate random variablesas basic concepts along with mechanical stresses and strains. Such problems are interesting in their own right but they are also meant to inspire further thinking about how stochastic extensions can be formulated before they can be applied to more complex physical systems.</div><div><br></div></div>
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Stochastic Processes In Cell Biology - Volume I

by Paul C. Bressloff

72,86€ + 10% CARD

 <div>This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. In the second edition the material has been significantly expanded, particularly within the context of nonequilibrium and self-organizing systems. Given the amount of additional material, the book has been divided into two volumes, with volume I mainly covering molecular processes and volume II focusing on cellular processes. </div><div><br></div><div>A wide range of biological topics are covered in the new edition, including stochastic ion channels and excitable systems, molecular motors, stochastic gene networks, genetic switches and oscillators, epigenetics, normal and anomalous diffusion in complex cellular environments, stochastically-gated diffusion, active intracellular transport, signal transduction, cell sensing, bacterial chemotaxis, intracellular pattern formation, cell polarization, cell mechanics, biological polymers and membranes, nuclear structure and dynamics, biological condensates, molecular aggregation and nucleation, cellular length control, cell mitosis, cell motility, cell adhesion, cytoneme-based morphogenesis, bacterial growth, and quorum sensing. The book also provides a pedagogical introduction to the theory of stochastic and nonequilibrium processes - Fokker Planck equations, stochastic differential equations, stochastic calculus, master equations and jump Markov processes, birth-death processes, Poisson processes, first passage time problems, stochastic hybrid systems, queuing and renewal theory, narrow capture and escape, extreme statistics, search processes and stochastic resetting, exclusion processes, WKB methods, large deviation theory, path integrals, martingales and branching processes, numerical methods, linear response theory, phase separation, fluctuation-dissipation theorems, age-structured models, and statistical field theory. This text is primarily aimed at graduate students and researchers working in mathematical biology, statistical and biological physicists, and applied mathematicians interested in stochastic modeling. Applied probabilists should also find it of interest. It provides significant background material in applied mathematics and statistical physics, and introduces concepts in stochastic and nonequilibrium processes via motivating biological applications. The book is highly illustrated and contains a large number of examples and exercises that further develop the models and ideas in the body of the text. It is based on a course that the author has taught at the University of Utah for many years.</div>
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Stochastic Processes In Cell Biology - Volume Ii

by Paul C. Bressloff

72,86€ + 10% CARD

 <div>This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. In the second edition the material has been significantly expanded, particularly within the context of nonequilibrium and self-organizing systems. Given the amount of additional material, the book has been divided into two volumes, with volume I mainly covering molecular processes and volume II focusing on cellular processes. </div><div><br></div><div>A wide range of biological topics are covered in the new edition, including stochastic ion channels and excitable systems, molecular motors, stochastic gene networks, genetic switches and oscillators, epigenetics, normal and anomalous diffusion in complex cellular environments, stochastically-gated diffusion, active intracellular transport, signal transduction, cell sensing, bacterial chemotaxis, intracellular pattern formation, cell polarization, cell mechanics, biological polymers and membranes, nuclear structure and dynamics, biological condensates, molecular aggregation and nucleation, cellular length control, cell mitosis, cell motility, cell adhesion, cytoneme-based morphogenesis, bacterial growth, and quorum sensing. The book also provides a pedagogical introduction to the theory of stochastic and nonequilibrium processes - Fokker Planck equations, stochastic differential equations, stochastic calculus, master equations and jump Markov processes, birth-death processes, Poisson processes, first passage time problems, stochastic hybrid systems, queuing and renewal theory, narrow capture and escape, extreme statistics, search processes and stochastic resetting, exclusion processes, WKB methods, large deviation theory, path integrals, martingales and branching processes, numerical methods, linear response theory, phase separation, fluctuation-dissipation theorems, age-structured models, and statistical field theory. This text is primarily aimed at graduate students and researchers working in mathematical biology, statistical and biological physicists, and applied mathematicians interested in stochastic modeling. Applied probabilists should also find it of interest. It provides significant background material in applied mathematics and statistical physics, and introduces concepts in stochastic and nonequilibrium processes via motivating biological applications. The book is highly illustrated and contains a large number of examples and exercises that further develop the models and ideas in the body of the text. It is based on a course that the author has taught at the University of Utah for many years.</div>
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Age Structured Epidemic Modeling

by Junyuan Yang, Maia Martcheva e Xue-Zhi Li

~~106,80€~~ 74,76€ 30% OFF

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 This book introduces advanced mathematical methods and techniques for analysis and simulation of models in mathematical epidemiology.
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Potential Method In Mathematical Theories Of Multi-Porosity Media

by Merab Svanadze

~~89,21€~~ 62,45€ 30% OFF

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 This monograph explores the application of the potential method to three-dimensional problems of the mathematical theories of elasticity and thermoelasticity for multi-porosity materials.
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Technology-Enhanced Methods Of Money Laundering - Internet As Criminal Means

by Fausto Martin De Sanctis

~~135,18€~~ 94,63€ 30% OFF

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 This book identifies and examines the novel ways in which money is laundered internationally through illegal activities on the internet, focusing on sales, payments, social media, online gaming, and tax misapplication.
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Mathematical Modeling Of Unsteady Inviscid Flows

by Jeff D. Eldredge

~~124,37€~~ 87,06€ 30% OFF

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 This book builds inviscid flow analysis from an undergraduate-level treatment of potential flow to the level required for research.
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Integrodifference Equations In Spatial Ecology

by Frithjof Lutscher

~~44,60€~~ 31,22€ 30% OFF

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 This book is the first thorough introduction to and comprehensive treatment of the theory and applications of integrodifference equations in spatial ecology. The book contains step-by-step model construction, explicitly solvable models, abstract theory and numerical recipes for integrodifference equations.
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Systems With Persistent Memory - Controllability, Stability, Identification

by Luciano Pandolfi

~~115,59€~~ 80,91€ 30% OFF

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 This text addresses systems with persistent memory that are common mathematical models used in the study of viscoelasticity and thermodynamics with memory.
ENGLISH

Systems With Persistent Memory - Controllability, Stability, Identification

by Luciano Pandolfi

145,09€ + 10% CARD

 This text addresses systems with persistent memory that are common mathematical models used in the study of viscoelasticity and thermodynamics with memory.
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Morphological Models Of Random Structures

by Dominique Jeulin

237,84€ + 10% CARD

 <p></p><p>This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). The introduced models concern many physical situations in heterogeneous media, where a probabilistic approach is required, like fracture statistics of materials, scaling up of permeability in porous media, electron microscopy images (including multispectral images), rough surfaces, multi-component composites, biological tissues, textures for image coding and synthesis. The common feature of these random structures is their domain of definition in n dimensions, requiring more general models than standard Stochastic Processes.The main topics of the book cover an introduction to the theory of random sets, random space tessellations, Boolean random sets and functions, space-time random sets and functions (Dead Leaves, Sequential Alternate models, Reaction-Diffusion), prediction of effective properties of random media, and probabilistic fracture theories.<br></p><p><br></p>
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Antibodies For Treating Cancer - Basics, Development, And Applications

by Melvyn Little

~~121,66€~~ 85,16€ 30% OFF

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 This book presents a compact overview of the history, evolution and fascinating novel applications of antibodies for the treatment of cancer, leading the reader step by step to the latest advances.
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