Learn IT - Books tags stochastic

Multidimensional Stochastic Processes as Rough Paths: Theory and Applications

Cambridge University Press, 2010

Rough path analysis provides a fresh perspective on Ito's important theory of stochastic differential equations. Key theorems of modern stochastic analysis (existence and limit theorems for stochastic flows, Freidlin-Wentzell theory, the Stroock-Varadhan support description) can be obtained with dramatic simplifications. Classical...

Principles of Electrochemistry

John Wiley & Sons, 1993

Presents electron transfer and double-layer theories in an understandable manner while keeping mathematics to a minimum. Revised and expanded, this edition features a number of new sections which deal with electrochemical materials science, photoelectrochemistry, stochastic processes, novel aspects of ion transfer across biological membranes,...

Using R for Numerical Analysis in Science and Engineering (Chapman & Hall/CRC The R Series)

CRC Press, 2014

Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and...

Mathematics of Shapes and Applications (Lecture Notes, Institute for Masthematical Sciences, National University of Singapore)

World Scientific Publishing, 2019

Understanding how a single shape can incur a complex range of transformations, while defining the same perceptually obvious figure, entails a rich and challenging collection of problems, at the interface between applied mathematics, statistics and computer science. The program on Mathematics of Shapes and Applications, was held at the Institute...

Handbook of Applied Analysis (Advances in Mechanics and Mathematics)

Springer, 2009

Accurate models to describe real-world phenomena are indispensable for research in such scientific fields as physics, engineering, biology, chemistry, and economics. The tools and techniques of applied analysis facilitate the development of mathematical models and can thereby serve as an excellent resource for students and researchers in various...

Computer Performance Engineering: 6th European Performance Engineering Workshop, EPEW 2009 London

Springer, 2009

This volume of LNCS contains the proceedings of the 6th European Performance Engineering Workshop, held at Imperial College London during July 9–10, 2009. This was the first in the EPEW series to be held in the UK, following on from the highly successful workshops that were held in Toledo (2004), Versailles (2005),...

Reliability Modeling, Analysis And Optimization

World Scientific Publishing, 2006

As our modern information-age society grows in complexity both in terms of embedded systems and applications, the problems and challenges in reliability become ever more complex. Bringing together many of the leading experts in the field, this volume presents a broad picture of current research on system modeling and optimization in...

Information and Complexity in Statistical Modeling (Information Science and Statistics)

Springer, 2007

No statistical model is "true" or "false," "right" or "wrong"; the models just have varying performance, which can be assessed. The main theme in this book is to teach modeling based on the principle that the objective is to extract the information from data that can be learned with suggested classes of...

Quantum: The Quantum Theory of Particles, Fields and Cosmology (Theoretical and Mathematical Physics)

Springer, 1997

This book gives a new insight into the interpretation of quantum mechanics (stochastic, integral paths, decoherence), a completely new treatment of angular momentum (graphical spin algebra) and an introduction to Fermion fields (Dirac equation) and Boson fields (e.m. and Higgs) as well as an introduction to QED (quantum electrodynamics),...

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