Razaviyayn, M., Hong, M., Reyhanian, N., & Luo, Z. (2019). A linearly convergent doubly stochastic Gauss–Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems. Mathematical programming, 176(1-2), 465-496. https://doi.org/10.1007/s10107-019-01404-0
Chicago Style (17th ed.) CitationRazaviyayn, Meisam, Mingyi Hong, Navid Reyhanian, and Zhi-Quan Luo. "A Linearly Convergent Doubly Stochastic Gauss–Seidel Algorithm for Solving Linear Equations and a Certain Class of Over-parameterized Optimization Problems." Mathematical Programming 176, no. 1-2 (2019): 465-496. https://doi.org/10.1007/s10107-019-01404-0.
MLA (9th ed.) CitationRazaviyayn, Meisam, et al. "A Linearly Convergent Doubly Stochastic Gauss–Seidel Algorithm for Solving Linear Equations and a Certain Class of Over-parameterized Optimization Problems." Mathematical Programming, vol. 176, no. 1-2, 2019, pp. 465-496, https://doi.org/10.1007/s10107-019-01404-0.