| Publications |
- I.
Koutis, Faster algebraic algorithms for path and packing problems
[ICALP 08] (pdf)
- I.
Koutis, Gary
Miller, Graph partitioning into isolated, high conductance clusters:
Theory, computation and applications to preconditioning [SPAA 08] (pdf)
- I.
Koutis, Combinatorial and algebraic tools for optimal multilevel
algorithms, PhD Thesis, CMU-CS-07-131 (pdf)
- I. Koutis, Gary Miller, A
linear work, O(n^{1/6}) parallel time algorithm for solving planar
Laplacians. [SODA 07] (pdf)
- I.
Koutis, Parameterized complexity and improved inapproximability for
computing the largest j-simplex in a V-polytope. [in
Information Processing Letters 06] (pdf)
- I.
Koutis, Dimensionality restrictions on sums over Z_p^d. Technical Report
CMU-CS-07-103
(pdf)
- I.
Koutis,
A faster parameterized algorithm for set packing. [in
Information Processing Letters 05] (pdf)
- I.
Koutis, On the
Hardness
of Approximate Multivariate Integration. [APPROX 2003] (pdf)
- C. Bekas, E. Kokiopoulou, E.
Gallopoulos, I. Koutis, Parallel computation of matrix pseudospectra: a
case for load
balancing, in the 15th ACM conference on Supercomputing, July 2001 (acm)
- I.
Koutis, Spectrum
through
Pseudospectrum, [unpublished manuscript ]. (arxiv)
- I. Koutis, E. Gallopoulos,
Exclusions regions and fast estimation of pseudospectra. [unpublished manuscript ]. (ps)
|
| Conferences |
-
D.A. Tolliver, I. Koutis, H. Ishikawa, J.S. Schuman, G.L.
Miller, Automatic
Multiple Retinal Layer Segmentation in Spectral Domain OCT Scans via
Spectral
Rounding, ARVO 2008 Annual
Meeting, Fort Lauderdale, Florida, April 2008
-
A
linear work, parallel algorithm for solving planar Laplacians, Combinatorial Scientific Computing (CSC07),
Costa Mesa, California, February 2007
-
Efficiently
solving linear systems using support tree preconditioners, Parallel
Processing for Scientific Computing (PP06), San Francisco, California,
2006
- Advances in the Theory and Computation of
Pseudospectra, in the 50th SIAM anniversary meeting [invited talk]
- Hermitian methods for
computing eigenvalues, in the 5th IMACS Conference on Iterative Methods
in Scientific Computing, May 2001 , (abstract)
- Iterations on Domains
for
computing the matrix (pseudo-)spectrum, Foundations of Computational
Mathematics
Oxford, 1999 (abstract, p. 161)
|