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Making Monte Carlo

Making Monte Carlo PDF Author: Mark Braude
Publisher: Simon and Schuster
ISBN: 147670970X
Category : Business & Economics
Languages : en
Pages : 304

Book Description
"A rollicking narrative history of Jazz Age Monte Carlo, chronicling the city's rise from WWI's ashes to become one of the world's most storied, infamous playgrounds of the rich, only to be crushed under it's own weight ten years later"--Provided by publisher.

Making Monte Carlo

Making Monte Carlo PDF Author: Mark Braude
Publisher: Simon and Schuster
ISBN: 147670970X
Category : Business & Economics
Languages : en
Pages : 304

Book Description
"A rollicking narrative history of Jazz Age Monte Carlo, chronicling the city's rise from WWI's ashes to become one of the world's most storied, infamous playgrounds of the rich, only to be crushed under it's own weight ten years later"--Provided by publisher.

Exploring Monte Carlo Methods

Exploring Monte Carlo Methods PDF Author: William L. Dunn
Publisher: Elsevier
ISBN: 0128197455
Category : Science
Languages : en
Pages : 594

Book Description
Exploring Monte Carlo Methods, Second Edition provides a valuable introduction to the numerical methods that have come to be known as "Monte Carlo." This unique and trusted resource for course use, as well as researcher reference, offers accessible coverage, clear explanations and helpful examples throughout. Building from the basics, the text also includes applications in a variety of fields, such as physics, nuclear engineering, finance and investment, medical modeling and prediction, archaeology, geology and transportation planning. Provides a comprehensive yet concise treatment of Monte Carlo methods Uses the famous "Buffon’s needle problem" as a unifying theme to illustrate the many aspects of Monte Carlo methods Includes numerous exercises and useful appendices on: Certain mathematical functions, Bose Einstein functions, Fermi Dirac functions and Watson functions

Introducing Monte Carlo Methods with R

Introducing Monte Carlo Methods with R PDF Author: Christian Robert
Publisher: Springer Science & Business Media
ISBN: 1441915753
Category : Computers
Languages : en
Pages : 297

Book Description
This book covers the main tools used in statistical simulation from a programmer’s point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison.

Monte Carlo Methods in Financial Engineering

Monte Carlo Methods in Financial Engineering PDF Author: Paul Glasserman
Publisher: Springer Science & Business Media
ISBN: 0387216170
Category : Mathematics
Languages : en
Pages : 603

Book Description
From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not." --Glyn Holton, Contingency Analysis

Monte Carlo Methods in Finance

Monte Carlo Methods in Finance PDF Author: Peter Jäckel
Publisher: John Wiley & Sons
ISBN: 047149741X
Category : Business & Economics
Languages : de
Pages : 245

Book Description
An invaluable resource for quantitative analysts who need to run models that assist in option pricing and risk management. This concise, practical hands on guide to Monte Carlo simulation introduces standard and advanced methods to the increasing complexity of derivatives portfolios. Ranging from pricing more complex derivatives, such as American and Asian options, to measuring Value at Risk, or modelling complex market dynamics, simulation is the only method general enough to capture the complexity and Monte Carlo simulation is the best pricing and risk management method available. The book is packed with numerous examples using real world data and is supplied with a CD to aid in the use of the examples.

A Guide to Monte Carlo Simulations in Statistical Physics

A Guide to Monte Carlo Simulations in Statistical Physics PDF Author: David P. Landau
Publisher: Cambridge University Press
ISBN: 9780521653664
Category : Mathematics
Languages : en
Pages : 402

Book Description
This book describes all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, as well as in related fields, such as polymer science and lattice gauge theory. The authors give a succinct overview of simple sampling methods and develop the importance sampling method. In addition they introduce quantum Monte Carlo methods, aspects of simulations of growth phenomena and other systems far from equilibrium, and the Monte Carlo Renormalization Group approach to critical phenomena. The book includes many applications, examples, and current references, and exercises to help the reader.

The Fine Art of Mixing Drinks

The Fine Art of Mixing Drinks PDF Author: David Augustus Embury
Publisher:
ISBN:
Category : Cocktails
Languages : en
Pages : 0

Book Description


Forecasting in Mathematics

Forecasting in Mathematics PDF Author: Abdo Abou Jaoude
Publisher: BoD – Books on Demand
ISBN: 1838808256
Category : Computers
Languages : en
Pages : 156

Book Description
Mathematical probability and statistics are an attractive, thriving, and respectable part of mathematics. Some mathematicians and philosophers of science say they are the gateway to mathematics’ deepest mysteries. Moreover, mathematical statistics denotes an accumulation of mathematical discussions connected with efforts to most efficiently collect and use numerical data subject to random or deterministic variations. Currently, the concept of probability and mathematical statistics has become one of the fundamental notions of modern science and the philosophy of nature. This book is an illustration of the use of mathematics to solve specific problems in engineering, statistics, and science in general.

Dealmaking

Dealmaking PDF Author: Richard Razgaitis
Publisher: John Wiley & Sons
ISBN: 0471452017
Category : Law
Languages : en
Pages : 308

Book Description
Applying practical tools to the volatile process of negotiating Prognosticators apply Monte Carlo Analysis (MCA) to determine the likelihood and significance of a complete range of future outcomes; Real Options Analysis (ROA) can then be employed to develop pricing structures, or options, for such outcomes. Richard Razgaitis' Dealmaking shows readers how to apply these powerful valuation tools to a variety of business processes, such as pricing, negotiating, or living with a "deal," be it a technology license, and R&D partnership, or an outright sales agreement. Dealmaking distinguishes itself from other negotiating guides not only by treating negotiations as an increasingly common situation, but also by presenting a tool-based approach that creates flexible, practical valuation models. This forward-thinking guide includes a variety of checklists, case studies, and a CD-ROM with the appropriate software. Richard Razgaitis (Bloomsbury, NJ) is a Managing Director at InteCap, Inc. He has over twenty-five years of experience working with the development, commercialization, and strategic management of technology, seventeen of which have been spent in the commercialization of intellectual property.

Essentials of Monte Carlo Simulation

Essentials of Monte Carlo Simulation PDF Author: Nick T. Thomopoulos
Publisher: Springer Science & Business Media
ISBN: 1461460220
Category : Mathematics
Languages : en
Pages : 184

Book Description
Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in this text deal with systems that are too complex to solve analytically. As a result, readers are given a system of interest and constructs using computer code, as well as algorithmic models to emulate how the system works internally. After the models are run several times, in a random sample way, the data for each output variable(s) of interest is analyzed by ordinary statistical methods. This book features 11 comprehensive chapters, and discusses such key topics as random number generators, multivariate random variates, and continuous random variates. Over 100 numerical examples are presented as part of the appendix to illustrate useful real world applications. The text also contains an easy to read presentation with minimal use of difficult mathematical concepts. Very little has been published in the area of computer Monte Carlo simulation methods, and this book will appeal to students and researchers in the fields of Mathematics and Statistics.