selected publications academic article Gutman, D. H., & Pena, J. F. (2023). Perturbed Fenchel duality and first-order methods. Mathematical programming. 198(1), 443-469. Gutman, D. H., & Ho-Nguyen, N. (2022). Cyclic coordinate descent in the H?lder smooth setting. Operations Research Letters. 50(4), 458-462. Gutman, D. H., & Nam, H. (2022). Coordinate Descent Without Coordinates: Tangent Subspace Descent on Riemannian Manifolds. Mathematics of Operations Research. 48(1), 127-159. Gutman, D. H., & Pena, J. F. (2021). The condition number of a function relative to a set. Mathematical programming. 188(1), 255-294. Gutman, D. H. (2019). Enhanced basic procedures for the projection and rescaling algorithm. Optimization Letters. 13(6), 1259-1267. Gutman, D. H., & Pena, J. F. (2019). CONVERGENCE RATES OF PROXIMAL GRADIENT METHODS VIA THE CONVEX CONJUGATE. SIAM Journal on Optimization. 29(1), 162-174.
principal investigator on CAREER: Fast Algorithms for Riemannian Optimization awarded by National Science Foundation - (Arlington, Virginia, United States) 2023 - 2028
teaching activities DAEN300 Daen Coding Experience I Instructor DAEN301 Daen Coding Experience Ii Instructor ISEN320 Operations Research I Instructor ISEN629 Engr Optimization Instructor ISEN689 Sptp: Adv. Math For Engr Phds Instructor ISEN691 Research Instructor
education and training Ph.D. in Mathematical Sciences, Carnegie Mellon University - (Pittsburgh, Pennsylvania, United States) 2024 M.S. in Pure Mathematics, Tulane University - (New Orleans, Louisiana, United States) 2010 B.S. in Finance & Accounting, Georgetown University - (Washington D.C., District of Columbia, United States) 2008