Monte Carlo Methods - Adrian Barbu,Song-Chun Zhu
-40% ar kodu BOOKS
Piegāde 17-23 darba dienu laikā
30 dienu atgriešanas politika
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 suit ... Pilns apraksts
Jums varētu patikt arī
TOP
Determined: The Science of Life Without Free Will
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Light Eaters: How the Unseen World of Plant Intelligence Offers a New Understanding of Life on Earth
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Why We Sleep: Unlocking the Power of Sleep and Dreams
-40% ar kodu BOOKS
Noliktavā
TOP
The Rise and Fall of the Dinosaurs: A New History of a Lost World
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Biology: A Global Approach, Global Edition
Neil Campbell, Rebecca Orr, Lisa Urry, Peter Minorsky, Michael Cain, Jane Reece, Steven Wasserman
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Six Not-so-easy Pieces: Einstein's Relativity, Symmetry, and Space-Time
Richard P. Feynman, Robert B. Leighton, Matthew Sands
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Explaining AuDHD: The expert-led guide to Autism and ADHD Co-concurrence
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Age of Alchemy: How Early Innovators Shaped Modern Chemistry
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Secrets of our DNA: How Genetics has Changed the World
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
How to Solve it: A New Aspect of Mathematical Method
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Factfulness: Ten Reasons We're Wrong About the World--and Why Things Are Better Than You Think
Ola Rosling, Anna Rosling Rönnlund, Hans Rosling
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Why Machines Learn: The Elegant Maths Behind Modern AI
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Feynman Lectures on Physics. The New Millennium Edition
Matthew Sands, Robert Leighton, Richard Feynman
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Entangled Life: How Fungi Make Our Worlds, Change Our Minds and Shape Our Futures
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Life As No One Knows It: The Physics of Life's Emergence
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Rise and Reign of the Mammals: A New History, from the Shadow of the Dinosaurs to Us
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Learn Faster, Perform Better: A Musician's Guide to the Neuroscience of Practicing
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Janeway's Immunobiology
Leslie J. Berg, Kenneth Murphy, Casey Weaver
-40% ar kodu BOOKS
Piegādātāja noliktavā
Aprašymas
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.
Vairāk informācijas
| Autors | Adrian Barbu, Song-Chun Zhu |
|---|---|
| Izdevējs | Springer Nature Singapore |
| Izlaides gads | 2020 |
| Vāka tips | Cietais vāks |
| EAN | 9789811329708 |