The Stochastics Solver

Stochastics is a concept that originates from the Greek word 'stókhos', meaning 'aim' or 'guess'. It refers to the property of being well-described by a random probability distribution and is a fundamental component of probability theory and statistics.

Stochastic processes, which are sequences of random variables, are used on a daily basis in science, engineering and finance to model or quantify uncertainty associated with seemingly random systems.

Random sampling algorithms, whose origins are in technology developed almost 100 years ago, are at the core of both frequential and Bayesian stochastics. Ironically, up until recently, random sampling algorithms were the only way to model randomness in stochastic analyses.

Using machine learning, in place of random sampling, Stochastics Ltd. has developed The Stochastics Solver. The Stochastic Solver is proving to be much faster than random sampling when solving stochastics analyses to a specified accuracy.

The general release of The Stochastic Solver is scheduled for the end of 2024. An evaluation version will be available to run on our website and the full version will be available to run on a desktop computer. If you would like to be notified when The Stochastic Solver is on general release please email Stochastics Support.