Statistical physics of data assimilation and machine learning, Abarbanel, Henry D. I. (university Of California, San Diego)

Автор: Barab?si
Название: Network Science
ISBN: 1107076269 ISBN-13(EAN): 9781107076266
Издательство: Cambridge Academ
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Цена: 51750.00 T
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Описание: Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of disciplines from physics to the social sciences, is the only book needed for an introduction to network science. In modular format, with clear delineation between undergraduate and graduate material, its unique design is supported by extensive online resources.

Автор: Concha Bielza, Pedro Larranaga
Название: Data-Driven Computational Neuroscience: Machine Learning and Statistical Models
ISBN: 110849370X ISBN-13(EAN): 9781108493703
Издательство: Cambridge Academ
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Цена: 85530.00 T
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Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.

Автор: Bouveyron, Charles Celeux, Gilles Murphy, T. Brendan (university College Dublin) Raftery, Adrian E. (university Of Washington)
Название: Cambridge series in statistical and probabilistic mathematics
ISBN: 110849420X ISBN-13(EAN): 9781108494205
Издательство: Cambridge Academ
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Цена: 77090.00 T
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Описание: This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods.

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
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Цена: 97150.00 T
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Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

Автор: Kjellander, Roland,
Название: Statistical mechanics of liquids and solutions :
ISBN: 1482244012 ISBN-13(EAN): 9781482244014
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: This book shows how you can start from basic laws for the interactions and motions of microscopic particles and calculate how macroscopic systems of these particles behave, thereby explaining properties of matter at the scale that we perceive.

Автор: Reichl Linda E.
Название: A Modern Course in Statistical Physics
ISBN: 3527413499 ISBN-13(EAN): 9783527413492
Издательство: Wiley
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Цена: 95040.00 T
Наличие на складе: Нет в наличии.
Описание: Presents essential concepts from equilibrium and non-equlibrium statistical physics at a level accessible to advanced undergraduate and graduate students. This edition includes latest methods of quantum statistical mechanics and modern aspects of turbulent hydrodynamic flow.

Автор: Stowe
Название: An Introduction to Thermodynamics and Statistical Mechanics
ISBN: 1107694922 ISBN-13(EAN): 9781107694927
Издательство: Cambridge Academ
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Цена: 57030.00 T
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Описание: An introductory textbook for standard undergraduate courses in thermodynamics, covering important quantum behaviours, classical thermodynamics and statistical mechanics.

Автор: Ray
Название: Statistical Physics of Fracture, Beakdown and Earthquake - Effects of Disorder and Heterogeneity
ISBN: 3527412190 ISBN-13(EAN): 9783527412198
Издательство: Wiley
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Цена: 122440.00 T
Наличие на складе: Невозможна поставка.
Описание: In this book, the authors bring together basic ideas from fracture mechanics and statistical physics, classical theories, simulation and experimental results to make the statistical physics aspects of fracture more accessible.

Автор: Olafsen
Название: Sturge`S Statistical And Thermal Ph
ISBN: 1482256002 ISBN-13(EAN): 9781482256000
Издательство: Taylor&Francis
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Цена: 112290.00 T
Наличие на складе: Нет в наличии.
Описание: This fully revised and updated edition provides a uniquely accessible introduction to the principles and applications of statistical mechanics and thermodynamics. Based on the highly acclaimed text by famous physicist M.D. Sturge, it continues its emphasis on explaining concepts with simple mathematics and plain English.

Автор: Srinivasa K. G., Siddesh G. M., Manisekhar S. R.
Название: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
ISBN: 9811524440 ISBN-13(EAN): 9789811524448
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.

Автор: Ichimaru
Название: Statistical Physics of Dense Plasmas
ISBN: 1138364665 ISBN-13(EAN): 9781138364660
Издательство: Taylor&Francis
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Цена: 76550.00 T
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Описание: This timely book gives a complete overview on the statistical mechanics and electrodynamics elucidating the physical processes in dense plasma systems. The author emphasizes laboratory-based experiments, especially those using laser instrumentation and 4th generation sources that enable direct testing of theory and models.

Автор: Greg Conradi Smith
Название: Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
ISBN: 1107005361 ISBN-13(EAN): 9781107005365
Издательство: Cambridge Academ
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Цена: 100310.00 T
Наличие на складе: Нет в наличии.
Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.