Häftad, Engelska, 2023
200 kr
Skickas inom 5-8 vardagar
Adrian Barbu – författare
Visar alla böcker från författaren Adrian Barbu. Handla med fri frakt och snabb leverans.
5 produkter
5 produkter
- Del 2918 - Forschungsberichte des Landes Nordrhein-Westfalen
Die Funktion von Sequestriermitteln im Waschprozeß unter besonderer Berücksichtigung des Natriumtriphosphats
Häftad, Tyska, 1980562 kr
Skickas inom 10-15 vardagar
- E-bokPDF, Tyska, 2013
568 kr
Läs direkt efter köp
- Inbunden, Engelska, 2020
1 302 kr
Skickas inom 10-15 vardagar
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. - E-bokEngelska, 2020
1 728 kr
Läs direkt efter köp
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.
