1.2k citations · 3.4k across the 72 of their papers we have counts for
5 papers · 2 filters
Disciplined Geometric Programming
Akshay Agrawal, Steven Diamond, Stephen Boyd
We introduce log-log convex programs, which are optimization problems with positive variables that become convex when the variables, objective functions, and constraint functions a…
Solution Refinement at Regular Points of Conic Problems
E. Busseti, W. Moursi, S. Boyd
Most numerical methods for conic problems use the homogenous primal-dual embedding, which yields a primal-dual solution or a certificate establishing primal or dual infeasibility.…
Stochastic Control with Affine Dynamics and Extended Quadratic Costs
Shane Barratt, Stephen Boyd
An extended quadratic function is a quadratic function plus the indicator function of an affine set, that is, a quadratic function with embedded linear equality constraints. We sho…
Globally Convergent Type-I Anderson Acceleration for Non-Smooth Fixed-Point Iterations
Junzi Zhang, Brendan O'Donoghue, Stephen Boyd
We consider the application of the type-I Anderson acceleration to solving general non-smooth fixed-point problems. By interleaving with safe-guarding steps, and employing a Powell…
Distributed Majorization-Minimization for Laplacian Regularized Problems
Jonathan Tuck, David Hallac, Stephen Boyd
We consider the problem of minimizing a block separable convex function (possibly nondifferentiable, and including constraints) plus Laplacian regularization, a problem that arises…