Fourth quarter 2025 revenue of ~$15.2 million, representing ~61% growth over Q4 2024Full Year 2025 revenue of ~$50.5 million; representing ~86% ...

Abstract: We consider the problem of deriving an explicit approximate solution of the nonlinear power equations that describe a balanced power distribution network. We give sufficient conditions for ...

Have you ever found yourself staring at a massive dataset, trying to calculate discounts, tax brackets, or other metrics based on thresholds, only to feel like your workflow is grinding to a halt? If ...

A University of New South Wales (UNSW) Sydney mathematician has revealed the first successful solution of an ‘impossible’ equation once considered unsolvable. Described as algebra’s oldest problem, ...

A mathematician has built an algebraic solution to an equation that was once believed impossible to solve. The equations are fundamental to maths as well as science, where they have broad applications ...

A UNSW Sydney mathematician has discovered a new method to tackle algebra's oldest challenge—solving higher polynomial equations. Polynomials are equations involving a variable raised to powers, such ...

Abstract: By using a large-scale data set, Chance-Constraint Problem (CCP) is formulated as a deterministic optimization problem called Deterministic Data-driven CCP (DDCP). DDCP not only determines ...

In this paper, the Mohand transform-based homotopy perturbation method is proposed to solve two-dimensional linear and non-linear shallow water wave equations. This approach has been proved suitable ...

Algorithms that zero in on solutions to optimization problems are the beating heart of machine reasoning. New results reveal surprising limits. Our lives are a succession of optimization problems.