t-Covering Arrays: Upper Bounds and Poisson Approximations. - Anant P. Godbole; Daphne E. Skipper; Rachel A. Sunley (Comb. Probab. Comput., 1996)

Optimization models for ATM network planning. - Dennis C. Dietz; Amie J. Elcan; Daphne E. Skipper (Comput. Oper. Res., 2003)

An algebraic-perturbation variant of Barvinok's algorithm. - Jon Lee 001; Daphne E. Skipper (Electron. Notes Discret. Math., 2015)

Virtuous smoothing for global optimization. - Jon Lee 001; Daphne E. Skipper (J. Glob. Optim., 2017)

Integer-Programming Bounds on Pebbling Numbers of Cartesian-Product Graphs. - Franklin Kenter; Daphne E. Skipper (COCOA, 2018)

Computing with an algebraic-perturbation variant of Barvinok's algorithm. - Jon Lee 001; Daphne E. Skipper (Discret. Appl. Math., 2018)

Algorithmic and modeling insights via volumetric comparison of polyhedral relaxations. - Jon Lee 001; Daphne E. Skipper; Emily Speakman (Math. Program., 2018)

More Virtuous Smoothing. - Luze Xu; Jon Lee 001; Daphne E. Skipper (SIAM J. Optim., 2019)

Handling Separable Non-convexities Using Disjunctive Cuts. - Claudia D'Ambrosio; Jon Lee 001; Daphne E. Skipper; Dimitri Thomopulos (ISCO, 2020)

Volume computation for sparse Boolean quadric relaxations. - Jon Lee 001; Daphne E. Skipper (Discret. Appl. Math., 2020)

Computing bounds on product graph pebbling numbers. - Franklin Kenter; Daphne E. Skipper; Dan Wilson (Theor. Comput. Sci., 2020)

Gaining or losing perspective. - Jon Lee 001; Daphne E. Skipper; Emily Speakman (J. Glob. Optim., 2022)

Developing Robust Facility Reopening Processes Following Natural Disasters. - Anna Camille Svirsko; Tom Logan; Christina Domanowski; Daphne E. Skipper (Oper. Res. Forum, 2022)

Approximating a linear multiplicative objective in watershed management optimization. - Ashley N. Boddiford; Daniel E. Kaufman; Daphne E. Skipper; Nelson A. Uhan (Eur. J. Oper. Res., 2023)

Gaining or Losing Perspective for Piecewise-Linear Under-Estimators of Convex Univariate Functions. - Jon Lee 001; Daphne E. Skipper; Emily Speakman; Luze Xu (J. Optim. Theory Appl., 2023)