Abstract: The dimension and the complexity of inference problems have dramatically increased in statistical signal processing. It thus becomes mandatory to design improved proposal schemes in ...

Featuring character designs by illustrator Hakuseki, Algorithm Prescription is told from a third-person perspective, allowing players to fully engage in the relationships between the protagonist and ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

In the early years of computational physics, starting during the Second World War, the discipline and its practitioners did not yet have a name. Iulia Georgescu tells the story of these forgotten ...

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...

Abstract: In Metropolis Hastings methods, gradient-based proposals, such as Metropolis-Adjusted Langevin Algorithm (MALA), are widely used due to the fast convergence in distribution compared with non ...

The Auxiliary-Spin Wolff (ASW) algorithm is a cluster Monte Carlo algorithm for spin models with external fields. The ASW algorithm is rejection-free: it does not require a Metropolis rejection step ...

The fmcmc R package provides a lightweight general framework for implementing Markov Chain Monte Carlo methods based on the Metropolis-Hastings algorithm. This implementation’s primary purpose lies in ...

How big were the world’s ancient cities? At its height, the world’s first city of Uruk may have had about 40,000 people about 5,000 years ago. In the medieval period, London may have had a population ...