---
_id: '5439'
abstract:
- lang: eng
text: 'The target discounted-sum problem is the following: Given a rational discount
factor 0 < λ < 1 and three rational values a, b, and t, does there exist a finite
or an infinite sequence w ε(a, b)∗ or w ε(a, b)w, such that Σ|w| i=0 w(i)λi equals
t? The problem turns out to relate to many fields of mathematics and computer
science, and its decidability question is surprisingly hard to solve. We solve
the finite version of the problem, and show the hardness of the infinite version,
linking it to various areas and open problems in mathematics and computer science:
β-expansions, discounted-sum automata, piecewise affine maps, and generalizations
of the Cantor set. We provide some partial results to the infinite version, among
which are solutions to its restriction to eventually-periodic sequences and to
the cases that λ λ 1/2 or λ = 1/n, for every n ε N. We use our results for solving
some open problems on discounted-sum automata, among which are the exact-value
problem for nondeterministic automata over finite words and the universality and
inclusion problems for functional automata. '
alternative_title:
- IST Austria Technical Report
author:
- first_name: Udi
full_name: Boker, Udi
id: 31E297B6-F248-11E8-B48F-1D18A9856A87
last_name: Boker
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Jan
full_name: Otop, Jan
id: 2FC5DA74-F248-11E8-B48F-1D18A9856A87
last_name: Otop
citation:
ama: Boker U, Henzinger TA, Otop J. The Target Discounted-Sum Problem. IST
Austria; 2015. doi:10.15479/AT:IST-2015-335-v1-1
apa: Boker, U., Henzinger, T. A., & Otop, J. (2015). The target discounted-sum
problem. IST Austria. https://doi.org/10.15479/AT:IST-2015-335-v1-1
chicago: Boker, Udi, Thomas A Henzinger, and Jan Otop. The Target Discounted-Sum
Problem. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-335-v1-1.
ieee: U. Boker, T. A. Henzinger, and J. Otop, The target discounted-sum problem.
IST Austria, 2015.
ista: Boker U, Henzinger TA, Otop J. 2015. The target discounted-sum problem, IST
Austria, 20p.
mla: Boker, Udi, et al. The Target Discounted-Sum Problem. IST Austria, 2015,
doi:10.15479/AT:IST-2015-335-v1-1.
short: U. Boker, T.A. Henzinger, J. Otop, The Target Discounted-Sum Problem, IST
Austria, 2015.
date_created: 2018-12-12T11:39:20Z
date_published: 2015-05-18T00:00:00Z
date_updated: 2023-02-23T10:08:48Z
day: '18'
ddc:
- '004'
- '512'
- '513'
department:
- _id: ToHe
doi: 10.15479/AT:IST-2015-335-v1-1
file:
- access_level: open_access
checksum: 40405907aa012acece1bc26cf0be554d
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:53:55Z
date_updated: 2020-07-14T12:46:55Z
file_id: '5517'
file_name: IST-2015-335-v1+1_report.pdf
file_size: 589619
relation: main_file
file_date_updated: 2020-07-14T12:46:55Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '20'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '335'
related_material:
record:
- id: '1659'
relation: later_version
status: public
status: public
title: The target discounted-sum problem
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5438'
abstract:
- lang: eng
text: "The edit distance between two words w1, w2 is the minimal number of word
operations (letter insertions, deletions, and substitutions) necessary to transform
w1 to w2. The edit distance generalizes to languages L1, L2, where the edit distance
is the minimal number k such that for every word from L1 there exists a word in
L2 with edit distance at most k. We study the edit distance computation problem
between pushdown automata and their subclasses.\r\nThe problem of computing edit
distance to a pushdown automaton is undecidable, and in practice, the interesting
question is to compute the edit distance from a pushdown automaton (the implementation,
a standard model for programs with recursion) to a regular language (the specification).
In this work, we present a complete picture of decidability and complexity for
deciding whether, for a given threshold k, the edit distance from a pushdown automaton
to a finite automaton is at most k. "
alternative_title:
- IST Austria Technical Report
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Rasmus
full_name: Ibsen-Jensen, Rasmus
id: 3B699956-F248-11E8-B48F-1D18A9856A87
last_name: Ibsen-Jensen
orcid: 0000-0003-4783-0389
- first_name: Jan
full_name: Otop, Jan
id: 2FC5DA74-F248-11E8-B48F-1D18A9856A87
last_name: Otop
citation:
ama: Chatterjee K, Henzinger TA, Ibsen-Jensen R, Otop J. Edit Distance for Pushdown
Automata. IST Austria; 2015. doi:10.15479/AT:IST-2015-334-v1-1
apa: Chatterjee, K., Henzinger, T. A., Ibsen-Jensen, R., & Otop, J. (2015).
Edit distance for pushdown automata. IST Austria. https://doi.org/10.15479/AT:IST-2015-334-v1-1
chicago: Chatterjee, Krishnendu, Thomas A Henzinger, Rasmus Ibsen-Jensen, and Jan
Otop. Edit Distance for Pushdown Automata. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-334-v1-1.
ieee: K. Chatterjee, T. A. Henzinger, R. Ibsen-Jensen, and J. Otop, Edit distance
for pushdown automata. IST Austria, 2015.
ista: Chatterjee K, Henzinger TA, Ibsen-Jensen R, Otop J. 2015. Edit distance for
pushdown automata, IST Austria, 15p.
mla: Chatterjee, Krishnendu, et al. Edit Distance for Pushdown Automata.
IST Austria, 2015, doi:10.15479/AT:IST-2015-334-v1-1.
short: K. Chatterjee, T.A. Henzinger, R. Ibsen-Jensen, J. Otop, Edit Distance for
Pushdown Automata, IST Austria, 2015.
date_created: 2018-12-12T11:39:20Z
date_published: 2015-05-05T00:00:00Z
date_updated: 2023-02-23T12:20:08Z
day: '05'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-334-v1-1
file:
- access_level: open_access
checksum: 8a5f2d77560e552af87eb1982437a43b
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:53:56Z
date_updated: 2020-07-14T12:46:55Z
file_id: '5518'
file_name: IST-2015-334-v1+1_report.pdf
file_size: 422573
relation: main_file
file_date_updated: 2020-07-14T12:46:55Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '15'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '334'
related_material:
record:
- id: '1610'
relation: later_version
status: public
- id: '465'
relation: later_version
status: public
status: public
title: Edit distance for pushdown automata
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5440'
abstract:
- lang: eng
text: 'Evolution occurs in populations of reproducing individuals. The structure
of the population affects the outcome of the evolutionary process. Evolutionary
graph theory is a powerful approach to study this phenomenon. There are two graphs.
The interaction graph specifies who interacts with whom for payoff in the context
of evolution. The replacement graph specifies who competes with whom for reproduction.
The vertices of the two graphs are the same, and each vertex corresponds to an
individual of the population. The fitness (or the reproductive rate) is a non-negative
number, and depends on the payoff. A key quantity is the fixation probability
of a new mutant. It is defined as the probability that a newly introduced mutant
(on a single vertex) generates a lineage of offspring which eventually takes over
the entire population of resident individuals. The basic computational questions
are as follows: (i) the qualitative question asks whether the fixation probability
is positive; and (ii) the quantitative approximation question asks for an approximation
of the fixation probability. Our main results are as follows: First, we consider
a special case of the general problem, where the residents do not reproduce. We
show that the qualitative question is NP-complete, and the quantitative approximation
question is #P-complete, and the hardness results hold even in the special case
where the interaction and the replacement graphs coincide. Second, we show that
in general both the qualitative and the quantitative approximation questions are
PSPACE-complete. The PSPACE-hardness result for quantitative approximation holds
even when the fitness is always positive.'
alternative_title:
- IST Austria Technical Report
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Rasmus
full_name: Ibsen-Jensen, Rasmus
id: 3B699956-F248-11E8-B48F-1D18A9856A87
last_name: Ibsen-Jensen
orcid: 0000-0003-4783-0389
- first_name: Martin
full_name: Nowak, Martin
last_name: Nowak
citation:
ama: Chatterjee K, Ibsen-Jensen R, Nowak M. The Complexity of Evolutionary Games
on Graphs. IST Austria; 2015. doi:10.15479/AT:IST-2015-323-v2-2
apa: Chatterjee, K., Ibsen-Jensen, R., & Nowak, M. (2015). The complexity
of evolutionary games on graphs. IST Austria. https://doi.org/10.15479/AT:IST-2015-323-v2-2
chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Martin Nowak. The Complexity
of Evolutionary Games on Graphs. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-323-v2-2.
ieee: K. Chatterjee, R. Ibsen-Jensen, and M. Nowak, The complexity of evolutionary
games on graphs. IST Austria, 2015.
ista: Chatterjee K, Ibsen-Jensen R, Nowak M. 2015. The complexity of evolutionary
games on graphs, IST Austria, 18p.
mla: Chatterjee, Krishnendu, et al. The Complexity of Evolutionary Games on Graphs.
IST Austria, 2015, doi:10.15479/AT:IST-2015-323-v2-2.
short: K. Chatterjee, R. Ibsen-Jensen, M. Nowak, The Complexity of Evolutionary
Games on Graphs, IST Austria, 2015.
date_created: 2018-12-12T11:39:21Z
date_published: 2015-06-16T00:00:00Z
date_updated: 2023-02-23T12:26:10Z
day: '16'
ddc:
- '005'
- '576'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-323-v2-2
file:
- access_level: open_access
checksum: 66aace7d367032af97c15e35c9be9636
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:53:23Z
date_updated: 2020-07-14T12:46:56Z
file_id: '5484'
file_name: IST-2015-323-v2+2_main.pdf
file_size: 466161
relation: main_file
file_date_updated: 2020-07-14T12:46:56Z
has_accepted_license: '1'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: '18'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '338'
related_material:
record:
- id: '5421'
relation: earlier_version
status: public
- id: '5432'
relation: earlier_version
status: public
status: public
title: The complexity of evolutionary games on graphs
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5432'
abstract:
- lang: eng
text: "Evolution occurs in populations of reproducing individuals. The structure
of the population affects the outcome of the evolutionary process. Evolutionary
graph theory is a powerful approach to study this phenomenon. There are two graphs.
The interaction graph specifies who interacts with whom in the context of evolution.The
replacement graph specifies who competes with whom for reproduction. \r\nThe vertices
of the two graphs are the same, and each vertex corresponds to an individual of
the population. A key quantity is the fixation probability of a new mutant. It
is defined as the probability that a newly introduced mutant (on a single vertex)
generates a lineage of offspring which eventually takes over the entire population
of resident individuals. The basic computational questions are as follows: (i)
the qualitative question asks whether the fixation probability is positive; and
(ii) the quantitative approximation question asks for an approximation of the
fixation probability. \r\nOur main results are:\r\n(1) We show that the qualitative
question is NP-complete and the quantitative approximation question is #P-hard
in the special case when the interaction and the replacement graphs coincide and
even with the restriction that the resident individuals do not reproduce (which
corresponds to an invading population taking over an empty structure).\r\n(2)
We show that in general the qualitative question is PSPACE-complete and the quantitative
approximation question is PSPACE-hard and can be solved in exponential time.\r\n"
alternative_title:
- IST Austria Technical Report
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Rasmus
full_name: Ibsen-Jensen, Rasmus
id: 3B699956-F248-11E8-B48F-1D18A9856A87
last_name: Ibsen-Jensen
orcid: 0000-0003-4783-0389
- first_name: Martin
full_name: Nowak, Martin
last_name: Nowak
citation:
ama: Chatterjee K, Ibsen-Jensen R, Nowak M. The Complexity of Evolutionary Games
on Graphs. IST Austria; 2015. doi:10.15479/AT:IST-2015-323-v1-1
apa: Chatterjee, K., Ibsen-Jensen, R., & Nowak, M. (2015). The complexity
of evolutionary games on graphs. IST Austria. https://doi.org/10.15479/AT:IST-2015-323-v1-1
chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Martin Nowak. The Complexity
of Evolutionary Games on Graphs. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-323-v1-1.
ieee: K. Chatterjee, R. Ibsen-Jensen, and M. Nowak, The complexity of evolutionary
games on graphs. IST Austria, 2015.
ista: Chatterjee K, Ibsen-Jensen R, Nowak M. 2015. The complexity of evolutionary
games on graphs, IST Austria, 29p.
mla: Chatterjee, Krishnendu, et al. The Complexity of Evolutionary Games on Graphs.
IST Austria, 2015, doi:10.15479/AT:IST-2015-323-v1-1.
short: K. Chatterjee, R. Ibsen-Jensen, M. Nowak, The Complexity of Evolutionary
Games on Graphs, IST Austria, 2015.
date_created: 2018-12-12T11:39:18Z
date_published: 2015-02-19T00:00:00Z
date_updated: 2023-02-23T12:26:33Z
day: '19'
ddc:
- '005'
- '576'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-323-v1-1
file:
- access_level: open_access
checksum: 546c1b291d545e7b24aaaf4199dac671
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:53:57Z
date_updated: 2020-07-14T12:46:53Z
file_id: '5519'
file_name: IST-2015-323-v1+1_main.pdf
file_size: 576347
relation: main_file
file_date_updated: 2020-07-14T12:46:53Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '29'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '323'
related_material:
record:
- id: '5421'
relation: earlier_version
status: public
- id: '5440'
relation: later_version
status: public
status: public
title: The complexity of evolutionary games on graphs
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5444'
abstract:
- lang: eng
text: A comprehensive understanding of the clonal evolution of cancer is critical
for understanding neoplasia. Genome-wide sequencing data enables evolutionary
studies at unprecedented depth. However, classical phylogenetic methods often
struggle with noisy sequencing data of impure DNA samples and fail to detect subclones
that have different evolutionary trajectories. We have developed a tool, called
Treeomics, that allows us to reconstruct the phylogeny of a cancer with commonly
available sequencing technologies. Using Bayesian inference and Integer Linear
Programming, robust phylogenies consistent with the biological processes underlying
cancer evolution were obtained for pancreatic, ovarian, and prostate cancers.
Furthermore, Treeomics correctly identified sequencing artifacts such as those
resulting from low statistical power; nearly 7% of variants were misclassified
by conventional statistical methods. These artifacts can skew phylogenies by creating
illusory tumor heterogeneity among distinct samples. Importantly, we show that
the evolutionary trees generated with Treeomics are mathematically optimal.
alternative_title:
- IST Austria Technical Report
author:
- first_name: Johannes
full_name: Reiter, Johannes
id: 4A918E98-F248-11E8-B48F-1D18A9856A87
last_name: Reiter
orcid: 0000-0002-0170-7353
- first_name: Alvin
full_name: Makohon-Moore, Alvin
last_name: Makohon-Moore
- first_name: Jeffrey
full_name: Gerold, Jeffrey
last_name: Gerold
- first_name: Ivana
full_name: Bozic, Ivana
last_name: Bozic
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Christine
full_name: Iacobuzio-Donahue, Christine
last_name: Iacobuzio-Donahue
- first_name: Bert
full_name: Vogelstein, Bert
last_name: Vogelstein
- first_name: Martin
full_name: Nowak, Martin
last_name: Nowak
citation:
ama: Reiter J, Makohon-Moore A, Gerold J, et al. Reconstructing Robust Phylogenies
of Metastatic Cancers. IST Austria; 2015. doi:10.15479/AT:IST-2015-399-v1-1
apa: Reiter, J., Makohon-Moore, A., Gerold, J., Bozic, I., Chatterjee, K., Iacobuzio-Donahue,
C., … Nowak, M. (2015). Reconstructing robust phylogenies of metastatic cancers.
IST Austria. https://doi.org/10.15479/AT:IST-2015-399-v1-1
chicago: Reiter, Johannes, Alvin Makohon-Moore, Jeffrey Gerold, Ivana Bozic, Krishnendu
Chatterjee, Christine Iacobuzio-Donahue, Bert Vogelstein, and Martin Nowak. Reconstructing
Robust Phylogenies of Metastatic Cancers. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-399-v1-1.
ieee: J. Reiter et al., Reconstructing robust phylogenies of metastatic
cancers. IST Austria, 2015.
ista: Reiter J, Makohon-Moore A, Gerold J, Bozic I, Chatterjee K, Iacobuzio-Donahue
C, Vogelstein B, Nowak M. 2015. Reconstructing robust phylogenies of metastatic
cancers, IST Austria, 25p.
mla: Reiter, Johannes, et al. Reconstructing Robust Phylogenies of Metastatic
Cancers. IST Austria, 2015, doi:10.15479/AT:IST-2015-399-v1-1.
short: J. Reiter, A. Makohon-Moore, J. Gerold, I. Bozic, K. Chatterjee, C. Iacobuzio-Donahue,
B. Vogelstein, M. Nowak, Reconstructing Robust Phylogenies of Metastatic Cancers,
IST Austria, 2015.
date_created: 2018-12-12T11:39:22Z
date_published: 2015-12-30T00:00:00Z
date_updated: 2020-07-14T23:05:07Z
day: '30'
ddc:
- '000'
- '576'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-399-v1-1
file:
- access_level: open_access
checksum: c47d33bdda06181753c0af36f16e7b5d
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:53:24Z
date_updated: 2020-07-14T12:46:58Z
file_id: '5485'
file_name: IST-2015-399-v1+1_treeomics.pdf
file_size: 3533200
relation: main_file
file_date_updated: 2020-07-14T12:46:58Z
has_accepted_license: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: '25'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '399'
status: public
title: Reconstructing robust phylogenies of metastatic cancers
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...