1 citations · 1 across the 1 of their papers we have counts for
2 papers
math.NA2026★ 1 cited
A Stiff Order Condition Theory for Runge-Kutta Methods Applied to Semilinear ODEs
Steven B. Roberts, David Shirokoff, Abhijit Biswas +1
Classical convergence theory of Runge-Kutta methods assumes that the time step is small relative to the Lipschitz constant of the ordinary differential equation (ODE). For stiff pr…
math.OC2025
Convergence of Markov Chains for Constant Step-size Stochastic Gradient Descent with Separable Functions
David Shirokoff, Philip Zaleski
Stochastic gradient descent (SGD) is a popular algorithm for minimizing objective functions that arise in machine learning. For constant step-sized SGD, the iterates form a Markov…