activity
20152021
most citedBest practices for comparing optimization algorithms

194 citations · 286 across the 4 of their papers we have counts for

collaborators
Showing math.OCShow all

5 papers · 1 filter

math.OC20213 cited

Towards the Biconjugate of Bivariate Piecewise Quadratic Functions

Deepak Kumar, Yves Lucet

Computing the closed convex envelope or biconjugate is the core operation that bridges the domain of nonconvex with convex analysis. We focus here on computing the conjugate of a b…

math.OC2018

Computation of the Epsilon-Subdifferential of Convex Piecewise-Defined Functions in Optimal Worst-Case Time

Deepak Kumar, Yves Lucet

The -subdifferential of convex univariate piecewise linear-quadratic functions can be computed in linear worst-case time complexity as the level-set of a convex function. Using…

math.OC2017194 cited

Best practices for comparing optimization algorithms

Vahid Beiranvand, Warren Hare, Yves Lucet

Comparing, or benchmarking, of optimization algorithms is a complicated task that involves many subtle considerations to yield a fair and unbiased evaluation. In this paper, we sys…

math.OC20174 cited

Visualization of the ε-Subdifferential of Piecewise Linear-Quadratic Functions

Anuj Bajaj, Warren Hare, Yves Lucet

Computing explicitly the ε-subdifferential of a proper function amounts to computing the level set of a convex function namely the conjugate minus a linear function. The resulting…

math.OC201585 cited

Optimizing horizontal alignment of roads in a specified corridor

Sukanto Mondal, Yves Lucet, Warren Hare

Finding an optimal alignment connecting two end-points in a specified corridor is a complex problem that requires solving three interrelated sub-problems, namely the horizontal ali…