Kruk, SergeNierman, RyanShi, Peter2017-10-252017-10-252016http://hdl.handle.net/10323/4590An algorithm is presented that uses a mostly combinatorial approach to solve a family of convex quadratic programs over box constraints. It is proved that for convex programs with the required structure, the algorithm converges in a finite number of iterations. Moreover, each iteration requires, at most, one function evaluation. On synthetic problems with thousands of variables, our implementation determines the optimal solution in seconds.en-USOptimizationCombinatorial Algorithm for Quadratic Programs with Laplacian StructureArticle