This unique volume introduces the reader to the mathematical language for complex systems and is ideal for students who are starting out in the study of stochastical dynamical systems. Unlike other books in the field it covers a broad array of stochastic and statistical methods.
--This text refers to an out of print or unavailable edition of this title.
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Text: English (translation)
Original Language: German
Original Language: German
From the Publisher
This unique volume introduces the reader to the mathematical language for complex systems and is ideal for students who are starting out in the study of stochastical dynamical systems. Unlike other books in the field, it covers a broad array of stochastic and statistical methods.
--This text refers to an out of print or unavailable edition of this title.
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First Sentence:
The fundamental equations of classical physics are ordinary or partial differential equations for the quantities that determine the state of a system. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
principal component vectors, estimator function, cumulant functions, innovation algorithm, mean first passage time, stochastic dynamical systems, polymer fluids, stationary moments, master equation, given time series, absorbing boundary, test quantity, vertex functions, generating functional, multiplicative noise, state space model, autocovariance function Key Phrases - Capitalized Phrases (CAPs): (learn more)
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The fundamental equations of classical physics are ordinary or partial differential equations for the quantities that determine the state of a system. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
principal component vectors, estimator function, cumulant functions, innovation algorithm, mean first passage time, stochastic dynamical systems, polymer fluids, stationary moments, master equation, given time series, absorbing boundary, test quantity, vertex functions, generating functional, multiplicative noise, state space model, autocovariance function Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Pacific Ocean New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 31
books:
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10
books
cite this book:
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- Numerical Recipes: The Art of Scientific Computing by William H. Press on page 4, and Back Matter
- Methods of Numerical Integration (Computer Science and Applied Mathematics) by Philip J. Davis in Back Matter
- Fluid Mechanics by Raymond Charles Binder in Back Matter
- Time Series Analysis: Forecasting & Control (3rd Edition) by George Box in Back Matter
- Spectral Analysis and Time Series. Volumes I and II in 1 book. (Probability and Mathematical Statistics) by M. B. Priestley in Back Matter
See all 31 books this book cites
- Beyond Equilibrium Thermodynamics by Hans Christian Öttinger on page 355, and Back Matter
- High Dimensional Nonlinear Diffusion Stochastic Processes by Yevgeny Mamontov in Front Matter, and Back Matter
- The Nature of Mathematical Modeling by Neil Gershenfeld on page 201
- The Statistical Mechanics of Financial Markets (Theoretical and Mathematical Physics) by Johannes Voit in Back Matter
- Global Climate by Xavier Rodo on page 100
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