Monte Carlo methods form an experimental branch of mathematics that employs simulations driven by random number generators. These methods are often used when others fail, since they are much less sensitive to the "curse of dimensionality", which plagues deterministic methods in problems with a large number of variables. Monte Carlo methods are used in many fields: mathematics, statistics, physics, chemistry, finance, computer science, and biology, for instance. This book is an introduction to Monte Carlo methods for anyone who would like to use these methods to study various kinds of mathemat
In this chapter, we present a general introduction to Monte Carlo (MC)-based methods, sampling metho...
This paperback edition is a reprint of the 2001 Springer edition This book provides a self-contained...
his paper will trace the history and development of a useful stochastic method for approximating cer...
This book seeks to bridge the gap between statistics and computer science. It provides an overview o...
In these lecture notes we will work through three different computational problems from different ap...
These lecture notes give a simple introduction to some main ideas and techniques used in Monte Carlo...
A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and ...
In applied mathematics, the name Monte Carlo is given to the method of solving problems by means of ...
Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to...
The Monte Carlo method is a numerical technique to model the probability of all possible outcomes in...
With the development of ever more powerful computers a new branch of physics and engineering evolved...
Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body system...
Monte Carlo analysis is a research strategy that incorporates randomness into the design, implementa...
Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in conden...
The Monte Carlo method is one of the basic simulation statistical methods which can be used both to ...
In this chapter, we present a general introduction to Monte Carlo (MC)-based methods, sampling metho...
This paperback edition is a reprint of the 2001 Springer edition This book provides a self-contained...
his paper will trace the history and development of a useful stochastic method for approximating cer...
This book seeks to bridge the gap between statistics and computer science. It provides an overview o...
In these lecture notes we will work through three different computational problems from different ap...
These lecture notes give a simple introduction to some main ideas and techniques used in Monte Carlo...
A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and ...
In applied mathematics, the name Monte Carlo is given to the method of solving problems by means of ...
Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to...
The Monte Carlo method is a numerical technique to model the probability of all possible outcomes in...
With the development of ever more powerful computers a new branch of physics and engineering evolved...
Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body system...
Monte Carlo analysis is a research strategy that incorporates randomness into the design, implementa...
Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in conden...
The Monte Carlo method is one of the basic simulation statistical methods which can be used both to ...
In this chapter, we present a general introduction to Monte Carlo (MC)-based methods, sampling metho...
This paperback edition is a reprint of the 2001 Springer edition This book provides a self-contained...
his paper will trace the history and development of a useful stochastic method for approximating cer...