Fast Algorithms, Scientific Computing, Numerical Linear Algebra, Machine Learning

Vaishnavi Gujjula and Dipanjan Gope, Algebraic Inverse Fast Multipole Method based Fast Direct Solver for Capacitance Extraction, 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), pages 507-508, July 2024, Florence, Italy.

Naidu, K. V. M., Praveen Gupta, Vaishnavi Gujjula, Network Aware Forecasting for eCommerce Supply Planning, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, October 2022, pages 1532–1541, Atlanta, GA, USA.

Vaishnavi Gujjula, Kandappan V.A., Sivaram Ambikasaran, A New Class of Hierarchical Matrices for Elliptic Problems in Higher Dimensions, 2022 SIAM Annual Meeting (AN22), Pittsburgh, Pennsylvania, USA (Hybrid Mode).

Kandappan V.A., Vaishnavi Gujjula, Sivaram Ambikasaran, HODLR2D – A new class of Hierarchical Matrices with application to Lippmann Schwinger Equation, 17th Copper Mountain Conference on Iterative Methods, 2022 (Virtual Mode).

Vaishnavi Gujjula, Sivaram Ambikasaran, Directional Fast Multipole Method for Oscillatory Kernels using Directional H2 Matrices, 22nd Conference of the International Linear Algebra Society (ILAS), 2019, Rio de Janeiro, Brazil.

Vaishnavi Gujjula, Sivaram Ambikasaran, Directional Fast Multipole Method for Oscillatory Kernels using Chebyshev Interpolation and ACA, National Symposium on Mathematics and its Applications (NSMA), 2018, Chennai.

Vaishnavi Gujjula and Sivaram Ambikasaran, Algebraic Inverse Fast Multipole Method: A fast direct solver that is better than HODLR based fast direct solver, Journal of Computational Physics, 497 (2024): 112627.

Vaishnavi Gujjula and Sivaram Ambikasaran, A new Directional Algebraic Fast Multipole Method based iterative solver for the Lippmann-Schwinger equation accelerated with HODLR precondition, Communications in Computational Physics 2022, Volume 32, Issue 4.

Kandappan, V. A.*, Vaishnavi Gujjula*, and Sivaram Ambikasaran, HODLR3D: Hierarchical matrices for N-body problems in three dimensions, (* Equal Contribution), Numerical Algorithms (2024).

Kandappan, V. A., Vaishnavi Gujjula, and Sivaram Ambikasaran, HODLR2D: A new class of hierarchical matrices, SIAM Journal on Scientific Computing, 45.5 (2023): A2382-A2408.