Learn IT - Books tags stochastic

Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)

MIT Press, 2005

The process of inductive inference—to infer general laws and principles from particular instances—is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (MDL) principle, a powerful method of inductive inference, holds that the best explanation, given a limited set of observed...

Virtual Crowds: Methods, Simulation, and Control (Synthesis Lectures on Computer Graphics and Animation)

Morgan and Claypool Publishers, 2008

There are many applications of computer animation and simulation where it is necessary to model virtual crowds of autonomous agents. Some of these applications include site planning, education, entertainment, training, and human factors analysis for building evacuation. Other applications include simulations of scenarios where masses of people...

Mobile Fading Channels: Modelling, Analysis, & Simulation

John Wiley & Sons, 2002

All relevant components of a mobile radio system, from digital modulation techniques over channel coding through to network aspects, are determined by the propagation characteristics of the channel. Therefore, a precise knowledge of mobile radio channels is crucial for the development, evaluation and test of current and future mobile radio...

An Introduction to Fronts in Random Media (Surveys and Tutorials in the Applied Mathematical Sciences)

Springer, 2009

The aim of this book is to give a user friendly tutorial of an interdisciplinary research topic (fronts in random media) to senior undergraduates and beginning graduate students with basic knowledge of partial differential equations (PDE) and probability. The approach taken is semi-formal, using elementary methods to introduce ideas and motivate...

Modelling and Control for Intelligent Industrial Systems: Adaptive Algorithms in Robotics and Industrial Engineering

Springer, 2011

Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of fault detection and isolation methods for...

Linear Systems Control: Deterministic and Stochastic Methods

Springer, 2008

Control engineering is a multidisciplinary subject which is critical to the operation of modern technology and which is nearly invisible in daily life. From atomic force microscopes, through PC disk drives and drive-by-wire engine controls to Boeing 747’s and to space shuttles, multivariable controls underlie many of a the devices which are...

Methods of Contemporary Mathematical Statistical Physics (Lecture Notes in Mathematics)

Springer, 2009

This volume presents a collection of courses introducing the reader to the recent progress with attention being paid to laying solid grounds and developing various basic tools. An introductory chapter on lattice spin models is useful as a background for other lectures of the collection. The topics include new results on phase transitions for...

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),...

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...

Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems

John Wiley & Sons, 2006

Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems presents a comprehensive introduction to the use of frequency domain and polynomial system design techniques for a range of industrial control and signal processing applications. The solution of stochastic and robust optimal control problems is...

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,...

Cells and Robots: Modeling and Control of Large-Size Agent Populations (Springer Tracts in Advanced Robotics)

Springer, 2007

From the reviews:

"This interesting monograph is devoted to the study of multi-agent, populations of biological cells and robot teams. … The main objective of the approach is to provide solutions to the problem of how dynamics of an individual agent propagates to the population dynamics. … This original monograph has a wide...

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