◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ana Susnjara

4 papers hereh-index 595 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.NA4

identity via Semantic Scholar / OpenAlex

activity
20152018
most citedAccelerated filtering on graphs using Lanczos method

47 citations · 50 across the 2 of their papers we have counts for

collaborators

4 papers

math.NA2018★ 3 cited

Fast QR decomposition of HODLR matrices

Daniel Kressner, Ana Susnjara

The efficient and accurate QR decomposition for matrices with hierarchical low-rank structures, such as HODLR and hierarchical matrices, has been challenging. Existing structure-ex…

math.NA2018

A fast spectral divide-and-conquer method for banded matrices

Ana Šušnjara, Daniel Kressner

Based on the spectral divide-and-conquer algorithm by Nakatsukasa and Higham [SIAM J. Sci. Comput., 35(3): A1325-A1349, 2013], we propose a new algorithm for computing all the eige…

math.NA2016

Fast computation of spectral projectors of banded matrices

Daniel Kressner, Ana Susnjara

We consider the approximate computation of spectral projectors for symmetric banded matrices. While this problem has received considerable attention, especially in the context of l…

math.NA2015★ 47 cited

Accelerated filtering on graphs using Lanczos method

Ana Susnjara, Nathanael Perraudin, Daniel Kressner +1

Signal-processing on graphs has developed into a very active field of research during the last decade. In particular, the number of applications using frames constructed from graph…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.