Get Free Shipping on orders over $79
Monte Carlo Methods - Adrian Barbu

Monte Carlo Methods

By: Adrian Barbu, Song-Chun Zhu

eText | 24 February 2020

At a Glance

eText


$169.00

or 4 interest-free payments of $42.25 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This book seeks to bridge the gap between statistics and computer science. It provides an overview of Monte Carlo methods, including Sequential Monte Carlo, Markov Chain Monte Carlo, Metropolis-Hastings, Gibbs Sampler, Cluster Sampling, Data Driven MCMC, Stochastic Gradient descent, Langevin Monte Carlo, Hamiltonian Monte Carlo, and energy landscape mapping. Due to its comprehensive nature, the book is suitable for developing and teaching graduate courses on Monte Carlo methods. To facilitate learning, each chapter includes several representative application examples from various fields. The book pursues two main goals: (1) It introduces researchers to applying Monte Carlo methods to broader problems in areas such as Computer Vision, Computer Graphics, Machine Learning, Robotics, Artificial Intelligence, etc.; and (2) it makes it easier for scientists and engineers working in these areas to employ Monte Carlo methods to enhance their research.

on
Desktop
Tablet
Mobile

More in Computer Vision

Mastering Invideo AI - Robert Keyser

eBOOK

Mastering Chat GPT - Robert Keyser

eBOOK

A I(M) Here to Stay - Jonathon Wetzel

eBOOK

Cyber Time - Jameson Lyon

eBOOK

$15.99