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researcher

Konrad Schrempf

5 papers here

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

author position
  • sole author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • math.RA4
  • math.OC1

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedHorner Systems: How to efficiently evaluate non-commutative polynomials (by matrices)

1 citations · 1 across the 1 of their papers we have counts for

collaborators
Showing math.OCShow all

1 paper · 1 filter

math.OC2018

Primal-dual interior-point Methods for Semidefinite Programming from an algebraic point of view, or: Using Noncommutativity for Optimization

Konrad Schrempf

Since more than three decades, interior-point methods proved very useful for optimization, from linear over semidefinite to conic (and partly beyond non-convex) programming; despit…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.