Stochastic Methods in Advanced Scientific Computing
Stochastic phenomena play a central role in various scientific disciplines and underpin applications in popular industrial sectors.
The purpose of the book is to introduce the reader to advanced concepts in the analysis of stochastic models starting from.
- First published
- 2021
- Publishers
- CRC Press LLC
- Subjects
- Stochastic processes
Books
Elektrische Meßtechnik
Kurt Bergmann
Die Polarforschung
Kurt Hassert
Clinical Cases in Dysfluency
Kurt Eggers
VENEDIG. la Serenissima
Kurt Zeitler
Economics in the Future/H
Kurt Dopfer
Mandäische ,,Diwan der Flüsse
Kurt Rudolph
Jumping into the Darkness
Kurt Philip Behm
Contextualizing Security
Kurt W. Jefferson
Clinical Cases in Dysfluency
Kurt Eggers
Untold Tales of Spider-Man
Kurt Busiek
Die Semasiologie
Kurt Baldinger
Digitale Assets and Tokenisierung
Lidia Kurt
Gilbert and Sullivan
KURT GANZL
I Love You Dear Star
Kurt Silvers
Avengers by Busiek and Perez Omnibus Vol. 1
Kurt Busiek
War
Kurt Almqvist
Iron Man
Kurt Busiek
Nation, State and Empire
Kurt Almqvist
This Is Modern Philosophy
Kurt Smith
Fred & Mavis
Kurt Becker
Courtship Soul
Kurt Weinert
Three Feathers
Kurt Oberloh
Rise and Fall of the Danish Empire
Kurt Villads Jensen
Clinical Cases in Dysfluency
Kurt Eggers
Baum und Mensch
Kurt Hoffmann
Times of Experience, Ways of Beholding
Kurt Walter Forster
Anomalien Bei Ionenaustausch-Vorgängen
Kurt Isslei
Schleiermacher und Die Frühromantik
Kurt Nowak
Supply Chain Analytics
Kurt Y. Liu
Kurt Moyer
Kurt Moyer
Clinical Cases in Dysfluency
Kurt Eggers
Addendum to Another World
Kurt Kurtz
Principles of Fish Immunology
Kurt Buchmann
Moon People
James Cicatko; Kurt
Vlad III Dracula
Kurt Treptow
I Love You Dear Star
Kurt Silvers
Musical, the, Second Edition
Kurt Gänzl
Anime Hentai Ahegao Manga Notebook
Kurt Johnson
Finanznarrative Als Krisennarrative
Kurt Hahn
Intellectual Property and the Law of Ideas
Kurt M. Saunders
Ideas are the fuel of industry and the entertainment business.
Türk Savunma Sanayii Tarihi - Dönemler ve Aktörler 1834-2020
Yasin Sehitoglu; Enes Kurt
Grundstücksgesamthypothek in der Zwangsversteigerung
Kurt Hartmann
Saguaro's Gifts
Kurt Cyrus
Nezuko Demon Slayer Notebook
Kurt Johnson
Trillions of Trees
Kurt Cyrus
Similar books
Time and Logic
Leonard Bolc
Originally published in 1995 time and logic examines understanding and application of temporal logic, presented in computational terms.
Introduction to Stochastic Processes
Edward P. C. Kao
Stochastic Processes and Related Topics
Rainer Buckdahn
Random Growth Models
Michael Damron
Lecture notes prepared for a course, january 2-3, 2017, atlanta, georgia..
Stochastic Modeling of Scientific Data
Peter Guttorp
Stochastic modeling of scientific data combines stochastic modeling and statistical inference in a variety of standard and less common models, such as point processes, markov random fields and hidden markov models in a clear, thoughtful and succinct manne.
Nonlinear Control and Filtering for Stochastic Networked Systems
Lifeng Ma
In this book, control and filtering problems for several classes of stochastic networked systems are discussed.
Stochastic Modeling of Scientific Data
Peter Guttorp
Stochastic modeling of scientific data combines stochastic modeling and statistical inference in a variety of standard and less common models, such as point processes, markov random fields and hidden markov models in a clear, thoughtful and succinct manne.
Theory and Statistical Applications of Stochastic Processes
Yuliya Mishura
This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes.
Stochastic Processes
Peter Watts Jones
Structural and Statistical Problems for a Class of Stochastic Processes
Harald Cramér
Professor cramer, author of the pivotal mathematical methods of statistics (1946), examines problems in the theory of stochastic processes that can be considered as generalizations of problems in the classical theory of statistical inference.
Bayesian Inference for Stochastic Processes
Lyle D. Broemeling
This is the first book designed to introduce bayesian inference procedures for stochastic processes.
Bayesian Inference for Stochastic Processes
Lyle D. Broemeling
This is the first book designed to introduce bayesian inference procedures for stochastic processes.
Bayesian Inference for Stochastic Processes
Lyle D. Broemeling
This is the first book designed to introduce bayesian inference procedures for stochastic processes.
XI Symposium on Probability and Stochastic Processes
Ramsés H. Mena
Stochastic Financial Models
Douglas Kennedy
Branching Processes and Their Applications
Ines M Del Puerto
Essentials of Stochastic Processes
Richard Durrett
Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (ms and phd students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory.
Stochastic Models with Power-Law Tails
Dariusz Buraczewski
In this monograph the authors give a systematic approach to the probabilistic properties of the fixed point equation x=ax+b.
Modeling and Analysis of Stochastic Systems
Vidyadhar G. Kulkarni
Building on the author's more than 35 years of teaching experience, modeling and analysis of stochastic systems, third edition, covers the most important classes of stochastic processes used in the modeling of diverse systems.
Monte-Carlo Methods and Stochastic Processes
Emmanuel Gobet
Developed from the author's course at the ecole polytechnique, monte-carlo methods and stochastic processes: from linear to non-linear focuses on the simulation of stochastic processes in continuous time and their link with partial diffe.
Stochastic Analysis of Biochemical Systems
David F. Anderson
This book focuses on counting processes and continuous-time markov chains motivated by examples and applications drawn from chemical networks in systems biology.
Dirichlet Forms Methods for Poisson Point Measures and lévy Processes
Nicolas Bouleau
A simplified approach to malliavin calculus adapted to poisson random measures is developed and applied in this book.
Basic Stochastic Processes
Pierre Devolder
This book presents basic stochastic processes, stochastic calculus including levy processes on one hand, and markov and semi markov models on the other.
Introduction to Stochastic Dynamics
Jinqiao Duan
The mathematical theory of stochastic dynamics has become an important tool in the modeling of uncertainty in many complex biological, physical, and chemical systems and in engineering applications - for example, gene regulation systems, neuronal networks.
Stochastic Calculus and Applications
Samuel N. Cohen
Essentials of Stochastic Processes
Richard Durrett
This test is designed for a master's level course in stochastic processes.
Multistage Stochastic Optimization
Georg Pflug
Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and transportation, among other areas.
Stochastic Model Checking
Anne Remke
Almost Periodic Stochastic Processes
Paul H. Bezandry
This book lays the foundations for a theory on almost periodic stochastic processes and their applications to various stochastic differential equations, functional differential equations with delay, partial differential equations, and difference equations.
Introduction to Stochastic Analysis
Vigirdas Mackevicius
This is an introduction to stochastic integration and stochastic differential equations written in an understandable way for a wide audience, from students of mathematics to practitioners in biology, chemistry, physics, and finances.
Analysis and geometry of metric measure spaces
Québec) Séminaire de Mathématiques Supérieures (50th 2011 Montréal
Path Integrals for Stochastic Processes
Horacio Sergio Wio
Adventures in Stochastic Processes
Sidney I. Resnick
Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness.
Integrated Catastrophe Risk Modeling
Aniello Amendola
Introduction to Stochastic Models
Marius Iosifescu
This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social sciences.
Stochastic Differential Inclusions and Applications
Michał Kisielewicz
this book aims to further develop the theory of stochastic functional inclusions and their applications for describing the solutions of the initial and boundary value problems for partial differential inclusions.
Fluctuation Theory of Solutions
Paul E. Smith
There are essentially two theories of solutions that can be considered exact: the mcmillan-mayer theory and fluctuation solution theory (fst).
Stochastic Processes
Robert G. Gallager
Discrete Stochastic Processes and Optimal Filtering
Jean-Claude Bertein
Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals.
Adventures in Stochastic Processes
Sidney I. Resnick
Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness.
Stochastic Processes
Wolfgang Paul
Simulation-Based Algorithms for Markov Decision Processes
Hyeong Soo Chang
Markov decision process (mdp) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.
Discrete Time Series, Processes, and Applications in Finance
Gilles Zumbach
Most financial and investment decisions are based on considerations of possible future changes and require forecasts on the evolution of the financial world.
Stochastic Optimal Control and the U.S. Financial Debt Crisis
Jerome L. Stein
Stochastic optimal control (soe["a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic processunder uncertainty["has proven incredibly helpful to understanding and predicting debt crises and eva.
Operator Inequalities of Ostrowski and Trapezoidal Type
Sever Silvestru Dragomir
Inequalities of ostrowski and trapezoidal type for functions of selfadjoint operators on hilbert spaces presents recent results concerning ostrowski and trapezoidal type inequalities for continuous functions of bounded selfadjoint operators on complex hil.
Geometric Aspects of Functional Analysis
Bo'az Klartag
Stochastic calculus for finance
Marek Capiński
This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to understand.
Selected Aspects of Fractional Brownian Motion
Ivan Nourdin
This book explores several aspects of fractional brownian motion, including the stochastic integration, the study of its supremum and its appearance as limit of partial sums involving stationary sequences..
New trends in stochastic analysis and related topics
Huaizhong Zhao
Modeling with Stochastic Programming
Alan J. King
This book is about modeling stochastic programs - models solved by optimization technology, whose solutions perform well under uncertainty.
Probability in Complex Physical Systems
Jean-Dominique Deuschel
Contributions to Stochastics
W. Sendler
Probability, statistics, and stochastic processes
Peter Olofsson
"this book provides a unique and balanced approach to probability, statistics, and stochastic processes.
Stochastic dynamics of marine structures
Arvid Næss
Stochastic dynamics of marine structures is a text for students and reference for professionals on the basic theory and methods used for stochastic modeling and analysis of marine structures subjected to environmental loads.