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Recommended For You

Einführung in die Wahrscheinlichkeitstheorie als Theorie der Typizität

Mit einer Analyse des Zufalls in Thermodynamik und Quantenmechanik

by Martin Kolb, Anne Froemel, Detlef Dürr ...

Dieses Werk ermöglicht ein vertieftes Verständnis des Wahrscheinlichkeitsbegriffs. Es richtet sich an alle, die in ihrer wissenschaftlichen Arbeit, sei es während des Studiums oder in einem anderen Arbeitsumfeld, mit dem Begriff der Wahrscheinlichkeit hantieren müssen.Wie kann Wahrscheinlichkeit oder der Zufall, Sinnbild des Unvorhersehbaren und Unfassbaren, sich der Mathematik, Sinnbild des ... Read more

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Dieses Werk ermöglicht ein vertieftes Verständnis des Wahrscheinlichkeitsbegriffs. Es richtet sich an alle, die in ihrer wissenschaftlichen Arbeit, sei es während des Studiums oder in einem anderen Arbeitsumfeld, mit dem Begriff der Wahrscheinlichkeit hantieren müssen.Wie kann Wahrscheinlichkeit oder der Zufall, Sinnbild des Unvorhersehbaren und Unfassbaren, sich der Mathematik, Sinnbild des
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Dynamics of Democratic Elections

A Mathematical Approach to Political Science

by Johannes Müller, Volker Hösel, Aurélien Tellier, Christoph Mohamad-Klotzbach ...

Dynamics of Democratic Elections explores modeling approaches to democratic elections and opinion dynamics at the intersection of mathematics, political science, and computational modeling. The book focuses on relatively simple models, their analysis, and how they perform in real-world applications. In order to make the book easy to navigate, the material is divided into three major parts ... Read more

R1 570,42

Dynamics of Democratic Elections explores modeling approaches to democratic elections and opinion dynamics at the intersection of mathematics, political science, and computational modeling. The book focuses on relatively simple models, their analysis, and how they perform in real-world applications. In order to make the book easy to navigate, the material is divided into three major parts
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Queueing Systems with Moving Servers

Theory, Methods, and Applications

by Yuri Belyaev, Asaf Hajiyev ...

Queuing theory methods are employed in managing traffic flows, shipping facilities, communication systems, vertical transportation, and others. The study of such systems is outside the framework of the methods of classical queuing theory; thus, new methodologies, such as systems with moving servers, have evolved. These systems are different and have complicated structures, but they have one common ... Read more

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Queuing theory methods are employed in managing traffic flows, shipping facilities, communication systems, vertical transportation, and others. The study of such systems is outside the framework of the methods of classical queuing theory; thus, new methodologies, such as systems with moving servers, have evolved. These systems are different and have complicated structures, but they have one common
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Evolution Equations

Edited by Gisele Ruiz Goldstein, Rainer Nagel, Silvia Romanelli ...

Series series Lecture Notes in Pure and Applied Mathematics
Celebrating the work of renowned mathematician Jerome A. Goldstein, this reference compiles original research on the theory and application of evolution equations to stochastics, physics, engineering, biology, and finance. The text explores a wide range of topics in linear and nonlinear semigroup theory, operator theory, functional analysis, and li ... Read more

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Celebrating the work of renowned mathematician Jerome A. Goldstein, this reference compiles original research on the theory and application of evolution equations to stochastics, physics, engineering, biology, and finance. The text explores a wide range of topics in linear and nonlinear semigroup theory, operator theory, functional analysis, and li
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Deterministic and Stochastic Optimal Control and Inverse Problems

Edited by Baasansuren Jadamba, Akhtar A. Khan, Stanisław Migórski, Miguel Sama ...

Inverse problems of identifying parameters and initial/boundary conditions in deterministic and stochastic partial differential equations constitute a vibrant and emerging research area that has found numerous applications. A related problem of paramount importance is the optimal control problem for stochastic differential equations.This edited volume comprises invited contributions from world ... Read more

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Inverse problems of identifying parameters and initial/boundary conditions in deterministic and stochastic partial differential equations constitute a vibrant and emerging research area that has found numerous applications. A related problem of paramount importance is the optimal control problem for stochastic differential equations.This edited volume comprises invited contributions from world
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Random Summation

Limit Theorems and Applications

by Boris V. Gnedenko, Victor Yu. Korolev ...

This book provides an introduction to the asymptotic theory of random summation, combining a strict exposition of the foundations of this theory and recent results. It also includes a description of its applications to solving practical problems in hardware and software reliability, insurance, finance, and more. The authors show how practice interacts with theory, and how new mathematical ... Read more

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This book provides an introduction to the asymptotic theory of random summation, combining a strict exposition of the foundations of this theory and recent results. It also includes a description of its applications to solving practical problems in hardware and software reliability, insurance, finance, and more. The authors show how practice interacts with theory, and how new mathematical
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Stochastic Calculus

A Practical Introduction

by Richard Durrett ...

Series series Probability and Stochastics Series
This compact yet thorough text zeros in on the parts of the theory that are particularly relevant to applications . It begins with a description of Brownian motion and the associated stochastic calculus, including their relationship to partial differential equations. It solves stochastic differential equations by a variety of methods and studies in detail the one-dimensional case. The book ... Read more

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This compact yet thorough text zeros in on the parts of the theory that are particularly relevant to applications . It begins with a description of Brownian motion and the associated stochastic calculus, including their relationship to partial differential equations. It solves stochastic differential equations by a variety of methods and studies in detail the one-dimensional case. The book
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Reliability Assessment of Safety and Production Systems

Analysis, Modelling, Calculations and Case Studies

by Jean-Pierre Signoret, Alain Leroy ...

Series series Engineering (R0)
This book provides, as simply as possible, sound foundations for an in-depth understanding of reliability engineering with regard to qualitative analysis, modelling, and probabilistic calculations of safety and production systems.Drawing on the authors’ extensive experience within the field of reliability engineering, it addresses and discusses a variety of topics, including:• Background and ... Read more

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This book provides, as simply as possible, sound foundations for an in-depth understanding of reliability engineering with regard to qualitative analysis, modelling, and probabilistic calculations of safety and production systems.Drawing on the authors’ extensive experience within the field of reliability engineering, it addresses and discusses a variety of topics, including:• Background and
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Intelligent Control

A Stochastic Optimization Based Adaptive Fuzzy Approach

by Kaushik Das Sharma, Amitava Chatterjee, Anjan Rakshit ...

Series series Cognitive Intelligence and Robotics
This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation ... Read more

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This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation
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An Introduction to Continuous-Time Stochastic Processes

Theory, Models, and Applications to Finance, Biology, and Medicine

by Vincenzo Capasso, David Bakstein ...

Series series Mathematics and Statistics (R0)
This textbook, now in its fourth edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, it features concrete examples of modeling real-world problems from biology, medicine, finance, and insurance using stochastic methods. No previous ... Read more

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This textbook, now in its fourth edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, it features concrete examples of modeling real-world problems from biology, medicine, finance, and insurance using stochastic methods. No previous
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Understanding Behaviour of Distributed Systems Using mCRL2

by Muhammad Atif, Jan Friso Groote ...

Series series Engineering (R0)
This book helps readers easily learn basic model checking by presenting examples, exercises and case studies. The toolset mCRL2 provides a language to specify the behaviour of distributed systems, in particular where there is concurrency with inter-process communication. This language allows us to analyse a distributed system with respect to its functional requirements. For example, biological ... Read more

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This book helps readers easily learn basic model checking by presenting examples, exercises and case studies. The toolset mCRL2 provides a language to specify the behaviour of distributed systems, in particular where there is concurrency with inter-process communication. This language allows us to analyse a distributed system with respect to its functional requirements. For example, biological
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Lectures On Mathematical Finance And Related Topics

by Yuri Kifer ...

Rigorous mathematical finance relies strongly on two additional fields: optimal stopping and stochastic analysis. This book is the first one which presents not only main results in the mathematical finance but also these 'related topics' with all proofs and in a self-contained form. The book treats both discrete and continuous time mathematical finance. Some topics, such as Israeli (game) ... Read more

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Rigorous mathematical finance relies strongly on two additional fields: optimal stopping and stochastic analysis. This book is the first one which presents not only main results in the mathematical finance but also these 'related topics' with all proofs and in a self-contained form. The book treats both discrete and continuous time mathematical finance. Some topics, such as Israeli (game)
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Nonequilibrium and Irreversibility

by Giovanni Gallavotti ...

Series series Physics and Astronomy (R0)
This 2nd edition of the book focuses on the properties of stationary states in chaotic systems of particles or fluids, setting aside the theory of how these states are achieved. The second edition has been thoroughly revised and includes numerous corrections. It incorporates recent findings, with particular emphasis on the equivalence between irreversible and reversible equations. The ongoing ... Read more

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This 2nd edition of the book focuses on the properties of stationary states in chaotic systems of particles or fluids, setting aside the theory of how these states are achieved. The second edition has been thoroughly revised and includes numerous corrections. It incorporates recent findings, with particular emphasis on the equivalence between irreversible and reversible equations. The ongoing
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Dynamic Random Walks

Theory and Applications

by Nadine Guillotin-Plantard, Rene Schott ...

The aim of this book is to report on the progress realized in probability theory in the field of dynamic random walks and to present applications in computer science, mathematical physics and finance. Each chapter contains didactical material as well as more advanced technical sections. Few appendices will help refreshing memories (if necessary!).· New probabilistic model, new results in ... Read more

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The aim of this book is to report on the progress realized in probability theory in the field of dynamic random walks and to present applications in computer science, mathematical physics and finance. Each chapter contains didactical material as well as more advanced technical sections. Few appendices will help refreshing memories (if necessary!).· New probabilistic model, new results in
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Probability and Random Processes

With Applications to Signal Processing and Communications

by Scott Miller ...

Probability and Random Processes, Second Edition presents pertinent applications to signal processing and communications, two areas of key interest to students and professionals in today's booming communications industry. The book includes unique chapters on narrowband random processes and simulation techniques. It also describes applications in digital communications, information theory, coding ... Read more

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Probability and Random Processes, Second Edition presents pertinent applications to signal processing and communications, two areas of key interest to students and professionals in today's booming communications industry. The book includes unique chapters on narrowband random processes and simulation techniques. It also describes applications in digital communications, information theory, coding
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Stochastic Optimization in Insurance

A Dynamic Programming Approach

by Pablo Azcue, Nora Muler ...

Series series SpringerBriefs in Quantitative Finance
The main purpose of the book is to show how a viscosity approach can be used to tackle control problems in insurance. The problems covered are the maximization of survival probability as well as the maximization of dividends in the classical collective risk model. The authors consider the possibility of controlling the risk process by reinsurance as well as by investments. They show that optimal ... Read more

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The main purpose of the book is to show how a viscosity approach can be used to tackle control problems in insurance. The problems covered are the maximization of survival probability as well as the maximization of dividends in the classical collective risk model. The authors consider the possibility of controlling the risk process by reinsurance as well as by investments. They show that optimal
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Problems and Solutions in Stochastic Calculus with Applications

by Patrik Albin, Kais Hamza, Fima C Klebaner ...

Problems and Solutions in Stochastic Calculus with Applications exposes readers to simple ideas and proofs in stochastic calculus and its applications. It is intended as a companion to the successful original title Introduction to Stochastic Calculus with Applications (Third Edition) by Fima Klebaner. The current book is authored by three active researchers in the fields of probability, stochastic ... Read more

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Problems and Solutions in Stochastic Calculus with Applications exposes readers to simple ideas and proofs in stochastic calculus and its applications. It is intended as a companion to the successful original title Introduction to Stochastic Calculus with Applications (Third Edition) by Fima Klebaner. The current book is authored by three active researchers in the fields of probability, stochastic
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Ambit Stochastics

by Ole E. Barndorff-Nielsen, Fred Espen Benth, Almut E. D. Veraart ...

Series Book 88 - Probability Theory and Stochastic Modelling
Drawing on advanced probability theory, Ambit Stochastics is used to model stochastic processes which depend on both time and space. This monograph, the first on the subject, provides a reference for this burgeoning field, complete with the applications that have driven its development.Unique to Ambit Stochastics are ambit sets, which allow the delimitation of space-time to a zone of interest, and ... Read more

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Drawing on advanced probability theory, Ambit Stochastics is used to model stochastic processes which depend on both time and space. This monograph, the first on the subject, provides a reference for this burgeoning field, complete with the applications that have driven its development.Unique to Ambit Stochastics are ambit sets, which allow the delimitation of space-time to a zone of interest, and
... Read more
Optimizing Engineering Problems through Heuristic Techniques

by Kaushik Kumar, Divya Zindani, J. Paulo Davim ...

Series series Science, Technology, and Management
This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three sections that will provide coverage of the techniques, which can be employed by engineers, researchers, and manufacturing industries, to improve their productivity with the sole motive of socio-economic development. This will be the first book in the category of ... Read more

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This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three sections that will provide coverage of the techniques, which can be employed by engineers, researchers, and manufacturing industries, to improve their productivity with the sole motive of socio-economic development. This will be the first book in the category of
... Read more
Fundamentals of Matrix-Analytic Methods

by Qi-Ming He ...

Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions.New materials and techniques are presented for the first time in research and engineering design. ... Read more

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Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions.New materials and techniques are presented for the first time in research and engineering design.
... Read more
Quantum Techniques In Stochastic Mechanics

by Jacob D Biamonte, John C Baez ...

We introduce the theory of chemical reaction networks and their relation to stochastic Petri nets — important ways of modeling population biology and many other fields. We explain how techniques from quantum mechanics can be used to study these models. This relies on a profound and still mysterious analogy between quantum theory and probability theory, which we explore in detail. We also give a ... Read more

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We introduce the theory of chemical reaction networks and their relation to stochastic Petri nets — important ways of modeling population biology and many other fields. We explain how techniques from quantum mechanics can be used to study these models. This relies on a profound and still mysterious analogy between quantum theory and probability theory, which we explore in detail. We also give a
... Read more
Anomalous Stochastics

A Comprehensive Guide to Multifractals, Random Walks, and Real-World Applications

by Michał Chorowski, Tomasz Gubiec, Ryszard Kutner ...

Series series Physics and Astronomy (R0)
This textbook provides a comprehensive exploration of anomalous stochastic processes and extreme events, commonly referred to as "black swans," with a particular focus on (multi-)fractal approaches and continuous-time random walks. The authors present a systematic examination of the subject, tracing its inception and providing a multi-directional perspective. By drawing on real-world experiences ... Read more

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This textbook provides a comprehensive exploration of anomalous stochastic processes and extreme events, commonly referred to as "black swans," with a particular focus on (multi-)fractal approaches and continuous-time random walks. The authors present a systematic examination of the subject, tracing its inception and providing a multi-directional perspective. By drawing on real-world experiences
... Read more
First Look At Stochastic Processes, A

by Jeffrey S Rosenthal ...

This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and ... Read more

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This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and
... Read more
Exercices de processus stochastiques

by Simone Malacrida ...

Dans ce livre, des exercices sont réalisés sur les sujets mathématiques suivants :Chaînes de Markov et processus stochastiques markoviensprocessus stochastiques dépendants et indépendants du tempsmarches aléatoires et mouvement brownienDes premières indications théoriques sont également présentées pour faire comprendre l'exécution des exercices. ... Read more

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Dans ce livre, des exercices sont réalisés sur les sujets mathématiques suivants :Chaînes de Markov et processus stochastiques markoviensprocessus stochastiques dépendants et indépendants du tempsmarches aléatoires et mouvement brownienDes premières indications théoriques sont également présentées pour faire comprendre l'exécution des exercices.
... Read more

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Recommended For You

Probability eBooks

Einführung in die Wahrscheinlichkeitstheorie als Theorie der Typizität

Dynamics of Democratic Elections

Queueing Systems with Moving Servers

Evolution Equations

Deterministic and Stochastic Optimal Control and Inverse Problems

Random Summation

Stochastic Calculus

Reliability Assessment of Safety and Production Systems

Intelligent Control

An Introduction to Continuous-Time Stochastic Processes

Understanding Behaviour of Distributed Systems Using mCRL2

Lectures On Mathematical Finance And Related Topics

Nonequilibrium and Irreversibility

Dynamic Random Walks

Probability and Random Processes

Stochastic Optimization in Insurance

Problems and Solutions in Stochastic Calculus with Applications

Ambit Stochastics

Optimizing Engineering Problems through Heuristic Techniques

Fundamentals of Matrix-Analytic Methods

Quantum Techniques In Stochastic Mechanics

Anomalous Stochastics

First Look At Stochastic Processes, A

Exercices de processus stochastiques