activity
20122023
most citedFaster and Simpler Width-Independent Parallel Algorithms for Positive Semidefinite Programming

23 citations · 24 across the 3 of their papers we have counts for

collaborators

6 papers

cs.DS2023

Efficient -Laplacian Solvers for Well-Shaped Simplicial Complexes: Beyond Betti Numbers and Collapsing Sequences

Ming Ding, Peng Zhang

We present efficient algorithms for approximately solving systems of linear equations in -Laplacians of well-shaped simplicial complexes up to high precision. -Laplacians, or…

cs.CC2022

Hardness Results for Laplacians of Simplicial Complexes via Sparse-Linear Equation Complete Gadgets

Ming Ding, Rasmus Kyng, Maximilian Probst Gutenberg +1

We study linear equations in combinatorial Laplacians of -dimensional simplicial complexes (-complexes), a natural generalization of graph Laplacians. Combinatorial Laplacian…

cs.CC2022

Two-Commodity Flow is Equivalent to Linear Programming under Nearly-Linear Time Reductions

Ming Ding, Rasmus Kyng, Peng Zhang

We give a nearly-linear time reduction that encodes any linear program as a 2-commodity flow problem with only a small blow-up in size. Under mild assumptions similar to those empl…

cs.DS2018

Incomplete Nested Dissection

Rasmus Kyng, Richard Peng, Robert Schwieterman +1

We present an asymptotically faster algorithm for solving linear systems in well-structured 3-dimensional truss stiffness matrices. These linear systems arise from linear elasticit…

cs.CC2017★ 1 cited

Hardness Results for Structured Linear Systems

Rasmus Kyng, Peng Zhang

We show that if the nearly-linear time solvers for Laplacian matrices and their generalizations can be extended to solve just slightly larger families of linear systems, then they…

cs.DS2012★ 23 cited

Faster and Simpler Width-Independent Parallel Algorithms for Positive Semidefinite Programming

Richard Peng, Kanat Tangwongsan, Peng Zhang

This paper studies the problem of finding an -approximate solution to positive semidefinite programs. These are semidefinite programs in which all matrices in the constraint…