Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics) - Image 1

£42.08

Springer Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics)

Name: Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics)
Brand: Springer
Price: 42.08 GBP
Availability: InStock

Algorithms

It has never been this cheap. We have no record of a lower price.

£42 today · cheaper than every other day in the last 5 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 28 days • 28 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 28 days • 1 price levels

Days at Price

Price Analysis

Most common price: £42 (28 days, 100.0%)

Price range: £42 - £42

Price levels: 1 different prices over 28 days

Description

Monte Carlo Methods are among the most used, and useful, computational tools available today. They provide efficient and practical algorithms to solve a wide range of scientific and engineering problems in dozens of areas many of which are covered in this text. These include simulation, optimization, finance, statistical mechanics, birth and death processes, Bayesian inference, quadrature, gambling systems and more. This text is for students of engineering, science, economics and mathematics who want to learn about Monte Carlo methods but have only a passing acquaintance with probability theory. The probability needed to understand the material is developed within the text itself in a direct manner using Monte Carlo experiments for reinforcement. There is a prerequisite of at least one year of calculus and a semester of matrix algebra. Each new idea is carefully motivated by a realistic problem, thus leading to insights into probability theory via examples and numerical simulations. Programming exercises are integrated throughout the text as the primary vehicle for learning the material. All examples in the text are coded in Python as a representative language; the logic is sufficiently clear so as to be easily translated into any other language. Further, Python scripts for each worked example are freely accessible for each chapter. Along the way, most of the basic theory of probability is developed in order to illuminate the solutions to the questions posed. One of the strongest features of the book is the wealth of completely solved example problems. These provide the reader with a sourcebook to follow towards the solution of their own computational problems. Each chapter ends with a large collection of homework problems illustrating and directing the material. This book is suitable as a textbook for students of engineering, finance, and the sciences as well as mathematics. The problem-oriented approach makes it ideal for an applied course in basic probability as well as for a more specialized course in Monte Carlo Methods. Topics include probability distributions, probability calculations, sampling, counting combinatorial objects, Markov chains, random walks, simulated annealing, genetic algorithms, option pricing, gamblers ruin, statistical mechanics, random number generation, Bayesian Inference, Gibbs Sampling and Monte Carlo integration.

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 3031559665
Category: Books > Subjects > Computing & Internet > Programming > Algorithms
Domain: Amazon UK
Release Date: 16 June 2025
Listed Since: 14 July 2025

Barcode

No barcode data available

Springer Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics)

Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics)

Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics)

Wiley Probability: With Applications and R - Math Textbook

Handbook of Monte Carlo Methods (Wiley Series in Probability and Statistics)

Fast Sequential Monte Carlo Methods for Counting and Optimization (Wiley Series in Probability and Statistics)

Introducing Monte Carlo Methods with R (Use R!)

Probability And Random Number: A First Guide To Randomness

A Graduate Course in Probability

Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear

Probability Models for Economic Decisions (The MIT Press)

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation: 68 (Stochastic Modelling and Applied Probability, 68)

Probability-2: 95 (Graduate Texts in Mathematics, 95)

Essentials of Monte Carlo Simulation: Statistical Methods for Building Simulation Models

Probability: An Introduction Through Theory and Exercises (Universitext)

Springer Teaching and Learning Stochastics Probability Research

Understanding Probability

Markov chain monte carlo simulations and their statistical analysis: with web-based fortran code

Simulation and Monte Carlo: With Applications in Finance and MCMC (Wiley Series in Probability and Statistics)

Teaching and Learning Stochastics: Advances in Probability Education Research (ICME-13 Monographs)

Springer An Introduction to Sequential Monte Carlo - Particle Filters

Stochastic Analysis and Related Topics: In Honour of Ali Süleyman Üstünel, Paris, June 2010: 22 (Springer Proceedings in Mathematics & Statistics, 22)

Probability: The Classical Limit Theorems

Genealogies Of Interacting Particle Systems: 38 (Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore)