Peter Scheiblechner

dblp:39/38 · DBLP profile ↗
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7ranked-venue papers
3as first author
1since 2021 · last 2022
0009-0006-6612-1739ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 7 · 3 first-author · 1 since 2021
YearPublicationVenuePosition
2022 Effective approximation of the solutions of algebraic equations
Marcin Bilski, Peter Scheiblechner
J. Symb. Comput.2
2012 Effective de Rham cohomology: the hypersurface case
abstract
We prove an effective bound for the degrees of generators of the algebraic de Rham cohomology of smooth affine hypersurfaces. In particular, we show that the de Rham cohomology HpdR(X) of a smooth hypersurface X of degree d in Cn can be generated by differential forms of degree dO(pn). This result is relevant for the algorithmic computation of the cohomology, but is also motivated by questions in the theory of ordinary differential equations related to the infinitesimal Hilbert 16th problem.
Peter Scheiblechner
ISSAC1
2010 Counting Irreducible Components of Complex Algebraic Varieties
Peter Bürgisser, Peter Scheiblechner
Comput. Complex.2
2010 On a generalization of Stickelberger's Theorem
Peter Scheiblechner
J. Symb. Comput.1
2009 On the complexity of counting components of algebraic varieties
Peter Bürgisser, Peter Scheiblechner
J. Symb. Comput.2
2007 Differential forms in computational algebraic geometry
abstract
We give a uniform method for the two problems #CCC and #ICC of counting connected and irreducible components of complex algebraic varieties, respectively. Our algorithms are purely algebraic, i.e., they use only the field structure of C. They work efficiently in parallel and can be implemented by algebraic circuits of polynomial depth, i.e., in parallel polynomial time. The design of our algorithms relies on the concept of algebraic differential forms. A further important building block is an algorithm of Szántó [40] computing a variant of characteristic sets. The crucial complexity parameter for #ICC turns out to be the number of equations. We describe a randomised algorithm solving #ICC for a fixed number of rational equations given by straight-line programs (slps), which runs in parallel polylogarithmic time in the length and the degree of the slps.
Peter Bürgisser, Peter Scheiblechner
ISSAC2
2007 On the complexity of deciding connectedness and computing Betti numbers of a complex algebraic variety
Peter Scheiblechner
J. Complex.1