Peter Jeavons : Publications

Book chapters

• [1]

  Tractable valued constraints

  Peter G. Jeavons and Stanislav Živný

  In Lucas Bordeaux‚ Youssef Hamadi‚ Pushmeet Kohli and Robert Mateescu, editors, Tractability: Practical Approaches to Hard Problems. Cambridge University Press. 2012.

  This work is in copyright. The draft is for personal use only. No further distribution without permission.

  Details about Tractable valued constraints | BibTeX data for Tractable valued constraints | Download (pdf) of Tractable valued constraints

• [2]

  The complexity of constraint languages

  David Cohen and Peter Jeavons

  In Handbook of Constraint Programming. Chapter 8. Elsevier. 2006.

  Details about The complexity of constraint languages | BibTeX data for The complexity of constraint languages | Download (pdf) of The complexity of constraint languages

Journal papers

• [1]

  Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance

  Daniel Nichol‚ Peter Jeavons‚ Alexander G. Fletcher‚ Robert A. Bonomo‚ Philip K. Maini‚ Jerome L. Paul‚ Robert A. Gatenby‚ Alexander R.A. Anderson and Jacob G. Scott

  In PLoS Computational Biology. 2015.

  Details about Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance | BibTeX data for Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance | DOI (10.1371/journal.pcbi.1004493)

• [2]

  Simple Algorithms for Distributed Leader Election in Anonymous Synchronous Rings and Complete Networks Inspired by Neural Development in Fruit Flies

  Lei Xu and Peter Jeavons

  In International Journal of Neural Systems. 2015.

  Details about Simple Algorithms for Distributed Leader Election in Anonymous Synchronous Rings and Complete Networks Inspired by Neural Development in Fruit Flies | BibTeX data for Simple Algorithms for Distributed Leader Election in Anonymous Synchronous Rings and Complete Networks Inspired by Neural Development in Fruit Flies | DOI (10.1142/S0129065715500252) | Link to Simple Algorithms for Distributed Leader Election in Anonymous Synchronous Rings and Complete Networks Inspired by Neural Development in Fruit Flies

• [3]

  Patterns from nature: Distributed greedy colouring with simple messages and minimal graph knowledge

  Lei Xu and Peter Jeavons

  In Information Sciences. Vol. 316. Pages 550−566. 2015.

  Details about Patterns from nature: Distributed greedy colouring with simple messages and minimal graph knowledge | BibTeX data for Patterns from nature: Distributed greedy colouring with simple messages and minimal graph knowledge | DOI (doi:10.1016/j.ins.2014.06.035) | Link to Patterns from nature: Distributed greedy colouring with simple messages and minimal graph knowledge

• [4]

  The complexity of valued constraint satisfaction

  Peter Jeavons‚ Andrei Krokhin and Stanislav Živný

  In Bulletin of the European Association for Theoretical Computer Science (EATCS). Vol. 113. Pages 21−55. 2014.

  Errata can be found here.

  Details about The complexity of valued constraint satisfaction | BibTeX data for The complexity of valued constraint satisfaction | Link to The complexity of valued constraint satisfaction

• [5]

  An algebraic theory of complexity for discrete optimisation

  David A. Cohen‚ Martin C. Cooper‚ Páidí Creed‚ Peter Jeavons and Stanislav Živný

  In SIAM Journal on Computing. Vol. 42. No. 5. Pages 1915−1939. 2013.

  Details about An algebraic theory of complexity for discrete optimisation | BibTeX data for An algebraic theory of complexity for discrete optimisation | DOI (10.1137/130906398) | Download (pdf) of An algebraic theory of complexity for discrete optimisation

• [6]

  Simple Neural−Like P Systems for Maximal Independent Set Selection

  Lei Xu and Peter G. Jeavons

  In Neural Computation. Vol. 25. No. 6. Pages 1642−1659. 2013.

  Details about Simple Neural−Like P Systems for Maximal Independent Set Selection | BibTeX data for Simple Neural−Like P Systems for Maximal Independent Set Selection | DOI (10.1162/NECO_a_00443) | Link to Simple Neural−Like P Systems for Maximal Independent Set Selection

• [7]

  Representing and solving finite−domain constraint problems using systems of polynomials

  Christopher Jefferson‚ Peter Jeavons‚ Martin J. Green and Marc R. C. van Dongen

  In Annals of Mathematics and Artificial Intelligence. Vol. 67. No. 3−4. Pages 359−382. 2013.

  Details about Representing and solving finite−domain constraint problems using systems of polynomials | BibTeX data for Representing and solving finite−domain constraint problems using systems of polynomials | DOI (10.1007/s10472-013-9365-7) | Link to Representing and solving finite−domain constraint problems using systems of polynomials

• [8]

  Local Consistency and SAT−Solvers

  Peter Jeavons and Justyna Petke

  In Journal of Artificial Intelligence Research (JAIR). Vol. 43. Pages 329−351. 2012.

  Details about Local Consistency and SAT−Solvers | BibTeX data for Local Consistency and SAT−Solvers | DOI (10.1613/jair.3531) | Link to Local Consistency and SAT−Solvers

• [9]

  Generalizing constraint satisfaction on trees: Hybrid tractability and variable elimination

  Martin C. Cooper‚ Peter G. Jeavons and András Z. Salamon

  In Artif. Intell.. Vol. 174. No. 9−10. Pages 570−584. 2010.

  Details about Generalizing constraint satisfaction on trees: Hybrid tractability and variable elimination | BibTeX data for Generalizing constraint satisfaction on trees: Hybrid tractability and variable elimination | DOI (10.1016/j.artint.2010.03.002)

• [10]

  Classes of submodular constraints expressible by graph cuts

  Stanislav Živný and Peter G. Jeavons

  In Constraints. Vol. 15. No. 3. Pages 430−452. 2010.

  Details about Classes of submodular constraints expressible by graph cuts | BibTeX data for Classes of submodular constraints expressible by graph cuts | DOI (10.1007/s10601-009-9078-z) | Download (pdf) of Classes of submodular constraints expressible by graph cuts

• [11]

  The complexity of constraint satisfaction games and QCSP

  Ferdinand Börner‚ Andrei A. Bulatov‚ Hubie Chen‚ Peter Jeavons and Andrei A. Krokhin

  In Inf. Comput.. Vol. 207. No. 9. Pages 923−944. 2009.

  Details about The complexity of constraint satisfaction games and QCSP | BibTeX data for The complexity of constraint satisfaction games and QCSP | DOI (10.1016/j.ic.2009.05.003)

• [12]

  The expressive power of binary submodular functions

  Stanislav Živný‚ David A. Cohen and Peter G. Jeavons

  In Discrete Applied Mathematics. Vol. 157. No. 15. Pages 3347–3358. 2009.

  Details about The expressive power of binary submodular functions | BibTeX data for The expressive power of binary submodular functions | DOI (10.1016/j.dam.2009.07.001) | Download (pdf) of The expressive power of binary submodular functions

• [13]

  The expressive power of valued constraints: Hierarchies and collapses

  David A. Cohen‚ Peter G. Jeavons and Stanislav Živný

  In Theoretical Computer Science. Vol. 409. No. 1. Pages 137–153. 2008.

  Details about The expressive power of valued constraints: Hierarchies and collapses | BibTeX data for The expressive power of valued constraints: Hierarchies and collapses | DOI (10.1016/j.tcs.2008.08.036) | Download (pdf) of The expressive power of valued constraints: Hierarchies and collapses

• [14]

  Generalising submodularity and Horn clauses: tractable optimization problems defined by tournament pair multimorphisms

  David Cohen‚ Martin Cooper and Peter Jeavons

  In Theoretical Computer Science. Vol. 401. No. 1−3. Pages 36−51. 2008.

  Details about Generalising submodularity and Horn clauses: tractable optimization problems defined by tournament pair multimorphisms | BibTeX data for Generalising submodularity and Horn clauses: tractable optimization problems defined by tournament pair multimorphisms | DOI (doi:10.1016/j.tcs.2008.03.015)

• [15]

  A unified theory of structural tractability for constraint satisfaction problems

  David Cohen‚ Peter Jeavons and Marc Gyssens

  In Journal of Computer and System Sciences. Vol. 74. Pages 721−743. 2008.

  Earlier‚ uncorrected‚ version appears in Proceedings of IJCAI'05‚ pp. 72–77: http://www.ijcai.org/papers/0521.pdf

  Details about A unified theory of structural tractability for constraint satisfaction problems | BibTeX data for A unified theory of structural tractability for constraint satisfaction problems | DOI (10.1016/j.jcss.2007.08.001) | Download (pdf) of A unified theory of structural tractability for constraint satisfaction problems

• [16]

  Enhancing the prediction of transcription factor binding sites by incorporating structural properties and nucleotide covariations

  Z. Zhang S. Gunewardena P. Jeavons

  In Journal of Computational Biology. Vol. 13. No. 4. Pages 929−945. 2006.

  Details about Enhancing the prediction of transcription factor binding sites by incorporating structural properties and nucleotide covariations | BibTeX data for Enhancing the prediction of transcription factor binding sites by incorporating structural properties and nucleotide covariations | DOI (10.1089/cmb.2006.13.929) | Link to Enhancing the prediction of transcription factor binding sites by incorporating structural properties and nucleotide covariations

• [17]

  Characterization of the putative operon containing arylamine N−acetyltransferase (nat) in Mycobacterium bovis BCG

  E. Sim M. Anderton S. Bhakta G. Besra P. Jeavons L. Eltis

  In Molecular Microbiology. Vol. 59. No. 1. Pages 181−192. 2006.

  Details about Characterization of the putative operon containing arylamine N−acetyltransferase (nat) in Mycobacterium bovis BCG | BibTeX data for Characterization of the putative operon containing arylamine N−acetyltransferase (nat) in Mycobacterium bovis BCG | DOI (10.1111/j.1365-2958.2005.04945.x) | Link to Characterization of the putative operon containing arylamine N−acetyltransferase (nat) in Mycobacterium bovis BCG

• [18]

  Symmetry definitions for constraint satisfaction problems

  David Cohen‚ Peter Jeavons‚ Christopher Jefferson‚ Karen Petrie and Barbara Smith

  In Constraints. Vol. 11. Pages 115−137. 2006.

  Received a Best Paper award.

  Details about Symmetry definitions for constraint satisfaction problems | BibTeX data for Symmetry definitions for constraint satisfaction problems | DOI (10.1007/s10601-006-8059-8) | Download (pdf) of Symmetry definitions for constraint satisfaction problems

• [19]

  The complexity of soft constraint satisfaction

  David Cohen‚ Martin Cooper‚ Peter Jeavons and Andrei Krokhin

  In Artificial Intelligence. Vol. 170. Pages 983−1016. 2006.

  Details about The complexity of soft constraint satisfaction | BibTeX data for The complexity of soft constraint satisfaction | DOI (10.1016/j.artint.2006.04.002) | Download (pdf) of The complexity of soft constraint satisfaction

• [20]

  Classifying the complexity of constraints using finite algebras

  Andrei Bulatov‚ Peter Jeavons and Andrei Krokhin

  In SIAM Journal on Computing. No. 34. Pages 720−742. 2005.

  Details about Classifying the complexity of constraints using finite algebras | BibTeX data for Classifying the complexity of constraints using finite algebras | DOI (10.1137/S0097539700376676) | Download (pdf) of Classifying the complexity of constraints using finite algebras

• [21]

  Supermodular functions and the complexity of MAX CSP

  David Cohen‚ Martin Cooper‚ Peter Jeavons and Andrei Krokhin

  In Discrete Applied Mathematics. Vol. 149. Pages 53−72. 2005.

  Earlier version appeared as Identifying efficiently solvable cases of Max CSP http://web.comlab.ox.ac.uk/oucl/research/areas/constraints/publications/STACS04maxCSP.ps in: Proceedings of STACS'04‚ Lecture Notes in Computer Science 2996 (2004)

  Details about Supermodular functions and the complexity of MAX CSP | BibTeX data for Supermodular functions and the complexity of MAX CSP | DOI (10.1016/j.dam.2005.03.003) | Download (pdf) of Supermodular functions and the complexity of MAX CSP

• [22]

  Constraint satisfaction problems on intervals and lengths

  Andrei Krokhin‚ Peter Jeavons and Peter Jonsson

  In SIAM Journal on Discrete Mathematics. No. 17. Pages 453–477. 2004.

  Earlier version appears in Proceedings of STACS'02‚ Lecture Notes in Computer Science‚ 2285‚ (2002)‚ pp. 443–454: http://link.springer.de/link/service/series/0558/bibs/2285/22850443.htm Preprint version available from Electronic Colloquium on Computational Complexity‚ as Report TR01−077: http://eccc.hpi-web.de/report/2001/077/

  Details about Constraint satisfaction problems on intervals and lengths | BibTeX data for Constraint satisfaction problems on intervals and lengths | Link to Constraint satisfaction problems on intervals and lengths

• [23]

  Implementing a test for tractability

  Richard Gault and Peter Jeavons

  In Constraints. Vol. 9. Pages 139–160. 2004.

  Details about Implementing a test for tractability | BibTeX data for Implementing a test for tractability | Link to Implementing a test for tractability

• [24]

  A maximal tractable class of soft constraints

  David Cohen‚ Martin Cooper‚ Peter Jeavons and Andrei Krokhin

  In Journal of Artificial Intelligence Research. No. 22. Pages 01/01/22. 2004.

  Earlier version appeared in: Proceedings of IJCAI'03‚ pp. 209−214: http://www.comlab.ox.ac.uk/activities/constraints/publications/IJCAI03submodular.pdf

  Details about A maximal tractable class of soft constraints | BibTeX data for A maximal tractable class of soft constraints | Link to A maximal tractable class of soft constraints

• [25]

  Learnability of quantified formulas

  Victor Dalmau and Peter Jeavons

  In Theoretical Computer Science. No. 306. Pages 485–511. 2003.

  Earlier version appeared in Proceedings of EuroCOLT 99‚ Nordkirchen‚ Germany‚ (1999)‚ pp. 63−78 : http://link.springer.de/link/service/series/0558/bibs/1572/15720063.htm

  Details about Learnability of quantified formulas | BibTeX data for Learnability of quantified formulas | Link to Learnability of quantified formulas

• [26]

  Reasoning about temporal relations : the tractable subalgebras of Allen's interval algebra

  Andrei Krokhin‚ Peter Jeavons and Peter Jonsson

  In Journal of the ACM. No. 50. Pages 591–640. 2003.

  Earlier version available as an OUCL Research Report : http://web.comlab.ox.ac.uk/oucl/publications/tr/rr-01-12.html

  Details about Reasoning about temporal relations : the tractable subalgebras of Allen's interval algebra | BibTeX data for Reasoning about temporal relations : the tractable subalgebras of Allen's interval algebra | DOI (10.1145/876638.876639)

• [27]

  Automatic analysis of agarose gel images

  Jonathan Flint P. S. Umesh Adiga A. Bhomra M. G. Turri A. Nicod S. R. Datta Peter Jeavons Richard Mott

  In Bioinformatics. Vol. 17. No. 11. Pages 1084−1089. 2001.

  Details about Automatic analysis of agarose gel images | BibTeX data for Automatic analysis of agarose gel images | Link to Automatic analysis of agarose gel images

• [28]

  Building tractable disjunctive constraints

  David Cohen‚ Peter Jeavons‚ Peter Jonsson and Manolis Koubarakis

  In Journal of the ACM. No. 47. Pages 826–853. 2000.

  Details about Building tractable disjunctive constraints | BibTeX data for Building tractable disjunctive constraints | DOI (10.1145/355483.355485) | Link to Building tractable disjunctive constraints

• [29]

  On The Algebraic Structure Of Combinatorial Problems

  P.G.Jeavons

  In Theoretical Computer Science. No. 200. Pages 185–204. 1998.

  Details about On The Algebraic Structure Of Combinatorial Problems | BibTeX data for On The Algebraic Structure Of Combinatorial Problems | Link to On The Algebraic Structure Of Combinatorial Problems

• [30]

  Constraints‚ Consistency and Closure

  P.G.Jeavons‚ D.A.Cohen and M.Cooper

  In Artificial Intelligence. No. 101 (1−2). Pages 251–265. 1998.

  Details about Constraints‚ Consistency and Closure | BibTeX data for Constraints‚ Consistency and Closure | Link to Constraints‚ Consistency and Closure

• [31]

  Constraints and Universal Algebra

  P.G.Jeavons‚ D.A.Cohen and J.K.Pearson

  In Annals of Mathematics and Artificial Intelligence. No. 24. Pages 51–67. 1998.

  Details about Constraints and Universal Algebra | BibTeX data for Constraints and Universal Algebra | Link to Constraints and Universal Algebra

• [32]

  Closure Properties of Constraints

  P.G.Jeavons‚ D.A.Cohen and M.Gyssens

  In Journal of the ACM. No. 44. Pages 527–548. 1997.

  Details about Closure Properties of Constraints | BibTeX data for Closure Properties of Constraints | Link to Closure Properties of Constraints

• [33]

  Tractable Constraints on Ordered Domains

  P.G.Jeavons and M.C.Cooper

  In Artificial Intelligence. No. 79(2). Pages 327–339. 1995.

  Details about Tractable Constraints on Ordered Domains | BibTeX data for Tractable Constraints on Ordered Domains | Link to Tractable Constraints on Ordered Domains

• [34]

  Recovering a Relation from a Decomposition using Constraint Satisfaction Techniques

  P.G.Jeavons

  In Information Sciences. No. 78. Pages 229–256. 1994.

  Details about Recovering a Relation from a Decomposition using Constraint Satisfaction Techniques | BibTeX data for Recovering a Relation from a Decomposition using Constraint Satisfaction Techniques | Link to Recovering a Relation from a Decomposition using Constraint Satisfaction Techniques

• [35]

  Characterising Tractable Constraints

  M.C.Cooper‚ D.A.Cohen and P.G.Jeavons

  In Artificial Intelligence. No. 65(2). Pages 347–361. 1994.

  Details about Characterising Tractable Constraints | BibTeX data for Characterising Tractable Constraints | Link to Characterising Tractable Constraints

• [36]

  Decomposing Constraint Satisfaction Problems Using Database Techniques

  M.Gyssens‚ P.G.Jeavons and D.A.Cohen

  In Artificial Intelligence. No. 66(1). Pages 57−89. 1994.

  Details about Decomposing Constraint Satisfaction Problems Using Database Techniques | BibTeX data for Decomposing Constraint Satisfaction Problems Using Database Techniques | Link to Decomposing Constraint Satisfaction Problems Using Database Techniques

• [37]

  A Structural Decomposition for Hypergraphs

  P.G.Jeavons‚ D.A.Cohen and M.Gyssens

  In Contemporary Mathematics. No. 178. Pages 161–177. 1994.

  Details about A Structural Decomposition for Hypergraphs | BibTeX data for A Structural Decomposition for Hypergraphs | Link to A Structural Decomposition for Hypergraphs

Conference papers

• [1]

  Minimal Weighted Clones with Boolean Support

  Peter G. Jeavons‚ Andrius Vaicenavičius and Stanislav Živný

  In Takahiro Hanyu, editor, Proceedings of the 46th IEEE International Symposium on Multiple−Valued Logic‚ ISMVL 2016‚ Sapporo‚ Japan‚ May 18−20‚ 2016. Pages 90–95. IEEE Computer Society. May, 2016.

  Details about Minimal Weighted Clones with Boolean Support | BibTeX data for Minimal Weighted Clones with Boolean Support | Link to Minimal Weighted Clones with Boolean Support

• [2]

  Tractable Classes of Binary CSPs Defined by Excluded Topological Minors

  David A. Cohen‚ Martin C. Cooper‚ Peter Jeavons and Stanislav Živný

  In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15). Pages 1945–1951. AAAI Press. 2015.

  Details about Tractable Classes of Binary CSPs Defined by Excluded Topological Minors | BibTeX data for Tractable Classes of Binary CSPs Defined by Excluded Topological Minors | Download (pdf) of Tractable Classes of Binary CSPs Defined by Excluded Topological Minors

• [3]

  Binarisation via dualisation for valued constraints

  David A. Cohen‚ Martin C. Cooper‚ Peter Jeavons and Stanislav Živný

  In Proceedings of the Twenty−Ninth AAAI Conference on Artificial Intelligence. Pages 3731–3737. AAAI Press. 2015.

  Details about Binarisation via dualisation for valued constraints | BibTeX data for Binarisation via dualisation for valued constraints | Link to Binarisation via dualisation for valued constraints

• [4]

  Representing and Solving Finite−Domain Constraint Problems using Systems of Polynomials (Extended Abstract)

  Chris Jefferson‚ Peter Jeavons‚ Martin J. Green and M.R.C. van Dongen

  In Principles and Practice of Constraint Programming − Proceedings of CP2015. 2015.

  Details about Representing and Solving Finite−Domain Constraint Problems using Systems of Polynomials (Extended Abstract) | BibTeX data for Representing and Solving Finite−Domain Constraint Problems using Systems of Polynomials (Extended Abstract) | Download (pdf) of Representing and Solving Finite−Domain Constraint Problems using Systems of Polynomials (Extended Abstract)

• [5]

  Tractable Combinations of Global Constraints

  David A. Cohen‚ Peter G. Jeavons‚ Evgenij Thorstensen and Stanislav Živný

  In Christian Schulte, editor, Principles and Practice of Constraint Programming − 19th International Conference‚ CP 2013‚ Uppsala‚ Sweden‚ September 16−20‚ 2013. Proceedings. Vol. 8124 of Lecture Notes in Computer Science. Pages 230−246. Springer. 2013.

  Details about Tractable Combinations of Global Constraints | BibTeX data for Tractable Combinations of Global Constraints | DOI (10.1007/978-3-642-40627-0_20) | Download (pdf) of Tractable Combinations of Global Constraints

• [6]

  Feedback from nature: an optimal distributed algorithm for maximal independent set selection

  Alex Scott‚ Peter Jeavons and Lei Xu

  In Panagiota Fatourou and Gadi Taubenfeld, editors, ACM Symposium on Principles of Distributed Computing‚ PODC '13‚ Montreal‚ QC‚ Canada‚ July 22−24‚ 2013. Pages 147−156. 2013.

  Details about Feedback from nature: an optimal distributed algorithm for maximal independent set selection | BibTeX data for Feedback from nature: an optimal distributed algorithm for maximal independent set selection | DOI (10.1145/2484239.2484247)

• [7]

  An algebraic theory of complexity for valued constraints: Establishing a Galois connection

  David A. Cohen‚ Páidí Creed‚ Peter G. Jeavons and Stanislav Živný

  In Proceedings of the 36th International Symposium on Mathematical Foundations of Computer Science (MFCS'11). Vol. 6907 of Lecture Notes in Computer Science. Pages 231–242. Springer. 2011.

  Details about An algebraic theory of complexity for valued constraints: Establishing a Galois connection | BibTeX data for An algebraic theory of complexity for valued constraints: Establishing a Galois connection | DOI (10.1007/978-3-642-22993-0_23) | Download (pdf) of An algebraic theory of complexity for valued constraints: Establishing a Galois connection

• [8]

  Tackling the Partner Units Configuration Problem

  Markus Aschinger‚ Conrad Drescher‚ Georg Gottlob‚ Peter Jeavons and Evgenij Thorstensen

  In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011). Barcelona‚ Spain. 2011.

  Details about Tackling the Partner Units Configuration Problem | BibTeX data for Tackling the Partner Units Configuration Problem | Download  (pdf) of Tackling the Partner Units Configuration Problem

• [9]

  Optimization Methods for the Partner Units Problem

  Markus Aschinger‚ Conrad Drescher‚ Gerhard Friedrich‚ Georg Gottlob‚ Peter Jeavons‚ Anna Ryabokon and Evgenij Thorstensen

  In Proceedings of the 8th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR 2011). Berlin‚ Germany. 2011.

  Details about Optimization Methods for the Partner Units Problem | BibTeX data for Optimization Methods for the Partner Units Problem | Download  (pdf) of Optimization Methods for the Partner Units Problem

• [10]

  Local consistency and SAT−solvers

  Peter Jeavons and Justyna Petke

  In Proceedings of the 16th International Conference on Principles and Practice of Constraint Programming − CP 2010. Vol. 6308 of Lecture Notes in Computer Science. Pages 398−413. Springer. 2010.

  Details about Local consistency and SAT−solvers | BibTeX data for Local consistency and SAT−solvers | Download  (pdf) of Local consistency and SAT−solvers | DOI (10.1007/978-3-642-15396-9_33)

• [11]

  Presenting Constraints

  Peter Jeavons

  In Martin Giese and Arild Waaler, editors, TABLEAUX. Vol. 5607 of Lecture Notes in Computer Science. Pages 1−15. Springer. 2009.

  Details about Presenting Constraints | BibTeX data for Presenting Constraints | DOI (10.1007/978-3-642-02716-1_1)

• [12]

  The complexity of valued constraint models

  Stanislav Živný and Peter G. Jeavons

  In Proceedings of the 15th International Conference on Principles and Practice of Constraint Programming (CP'09). No. 5732. 2009.

  Details about The complexity of valued constraint models | BibTeX data for The complexity of valued constraint models | DOI (10.1007/978-3-642-04244-7_64) | Download (pdf) of The complexity of valued constraint models

• [13]

  The expressive power of binary submodular functions

  Stanislav ivný‚ David A. Cohen and Peter G. Jeavons

  In Proceedings of the 34th International Symposium on Mathematical Foundations of Computer Science (MFCS'09). 2009.

  Details about The expressive power of binary submodular functions | BibTeX data for The expressive power of binary submodular functions | Download (pdf) of The expressive power of binary submodular functions

• [14]

  Classes of submodular constraints expressible by graph cuts

  Stanislav Živný and Peter G. Jeavons

  In Proceedings of the 14th International Conference on Principles and Practice of Constraint Programming (CP'08). Vol. 5202 of Lecture Notes in Computer Science. Pages 112−127. 2008.

  Details about Classes of submodular constraints expressible by graph cuts | BibTeX data for Classes of submodular constraints expressible by graph cuts | DOI (10.1007/978-3-540-85958-1_8) | Download (pdf) of Classes of submodular constraints expressible by graph cuts

• [15]

  Hybrid tractable CSPs which generalize tree structure

  Martin C. Cooper‚ Peter G. Jeavons and András Z. Salamon

  In Nikos Avouris Malik Ghallab Constantine D. Spyropoulos Nikos Fakotakis, editor, ECAI 2008‚ Proceedings of the 18th European Conference on Artificial Intelligence‚ July 21–25‚ Patras‚ Greece. Vol. 178 of Frontiers in Artificial Intelligence and Applications. Pages 530–534. IOS Press. 2008.

  Best paper award.

  Details about Hybrid tractable CSPs which generalize tree structure | BibTeX data for Hybrid tractable CSPs which generalize tree structure | Download (pdf) of Hybrid tractable CSPs which generalize tree structure

• [16]

  Perfect Constraints Are Tractable

  András Z. Salamon and Peter G. Jeavons

  In Proceedings of the 14th International Conference on Principles and Practice of Constraint Programming‚ CP 2008‚ Sydney‚ Australia‚ 14–18 September. Vol. 5202 of Lecture Notes in Computer Science. Pages 524−528. Springer. 2008.

  Details about Perfect Constraints Are Tractable | BibTeX data for Perfect Constraints Are Tractable | DOI (10.1007/978-3-540-85958-1_35) | Download (pdf) of Perfect Constraints Are Tractable

• [17]

  A Geometrical Model for the SNP Motif Identification Problem

  Gaofeng Huang and Peter Jeavons

  In Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering‚ BIBE 2007. Pages 395−402. 2007.

  Details about A Geometrical Model for the SNP Motif Identification Problem | BibTeX data for A Geometrical Model for the SNP Motif Identification Problem | DOI (10.1109/BIBE.2007.4375593) | Link to A Geometrical Model for the SNP Motif Identification Problem

• [18]

  Exact and Heuristic Approaches for Identifying Disease−Associated SNP Motifs

  Gaofeng Huang‚ Peter Jeavons and Dominic Kwiatkowski

  In Proceedings of 5th Asia−Pacific Bioinformatics Conference‚ APBC 2007. Vol. 5 of Advances in Bioinformatics and Computational Biology. Pages 175−184. Imperial College Press. 2007.

  Details about Exact and Heuristic Approaches for Identifying Disease−Associated SNP Motifs | BibTeX data for Exact and Heuristic Approaches for Identifying Disease−Associated SNP Motifs

• [19]

  The expressive power of valued constraints: Hierarchies and collapses

  David A. Cohen‚ Peter G. Jeavons and Stanislav Živný

  In Proceedings of the 13th International Conference on Principles and Practice of Constraint Programming (CP'07). Vol. 4741 of Lecture Notes in Computer Science. Pages 798−805. 2007.

  Details about The expressive power of valued constraints: Hierarchies and collapses | BibTeX data for The expressive power of valued constraints: Hierarchies and collapses | DOI (10.1007/978-3-540-74970-7_57) | Download (pdf) of The expressive power of valued constraints: Hierarchies and collapses

• [20]

  An algebraic characterisation of complexity for valued constraints

  David Cohen‚ Martin Cooper and Peter Jeavons

  In Proceedings of the 12th International Conference on Principles and Practice of Contraint Programming (CP'06). Vol. 4204 of Lecture Notes in Computer Science. Pages 107−121. 2006.

  Details about An algebraic characterisation of complexity for valued constraints | BibTeX data for An algebraic characterisation of complexity for valued constraints | DOI (10.1007/11889205_10) | Download (pdf) of An algebraic characterisation of complexity for valued constraints

• [21]

  A complete characterization of complexity for Boolean constraint optimization problems

  David Cohen‚ Martin Cooper and Peter Jeavons

  In Proceedings of CP'04. No. 3258. Pages 212–226. 2004.

  Details about A complete characterization of complexity for Boolean constraint optimization problems | BibTeX data for A complete characterization of complexity for Boolean constraint optimization problems | Link to A complete characterization of complexity for Boolean constraint optimization problems

• [22]

  New Tractable Classes From Old

  David Cohen‚ Peter Jeavons and Richard Gault

  No. 8. Pages 263–282. 2003.

  Earlier version appears in Proceedings of CP2000‚ Lecture Notes In Computer Science‚ 1894‚ 2000‚ pp. 160–171 : http://link.springer.de/link/service/series/0558/bibs/1894/18940160.htm

  Details about New Tractable Classes From Old | BibTeX data for New Tractable Classes From Old | DOI (10.1023/A:1025623111033)

• [23]

  Functions of multiple−valued logic and the complexity of constraint satisfaction: A short survey

  Andrei Krokhin‚ Andrei Bulatov and Peter Jeavons

  In Proceedings of 33rd IEEE International Symposium on Multiple−Valued Logic (ISMVL'03). Pages 343–351. 2003.

  Details about Functions of multiple−valued logic and the complexity of constraint satisfaction: A short survey | BibTeX data for Functions of multiple−valued logic and the complexity of constraint satisfaction: A short survey | Link to Functions of multiple−valued logic and the complexity of constraint satisfaction: A short survey

• [24]

  Soft constraints: complexity and multimorphsims

  David Cohen‚ Martin Cooper‚ Peter Jeavons and Andrei Krokhin

  In Proceedings of CP'03. No. 2833. Pages 244–258. 2003.

  Details about Soft constraints: complexity and multimorphsims | BibTeX data for Soft constraints: complexity and multimorphsims | Download (pdf) of Soft constraints: complexity and multimorphsims

• [25]

  An algebraic approach to multi−sorted constraints

  Andrei Bulatov and Peter Jeavons

  In Proceedings of CP'03. No. 2833. Pages 183–198. 2003.

  Earlier version available as an OUCL Research Report : http://web.comlab.ox.ac.uk/oucl/publications/tr/rr-01-18.html

  Details about An algebraic approach to multi−sorted constraints | BibTeX data for An algebraic approach to multi−sorted constraints | Download (pdf) of An algebraic approach to multi−sorted constraints

• [26]

  Quantified constraints: algorithms and complexity

  Ferdinand Börner‚ Andrei Bulatov‚ Peter Jeavons and Andrei Krokhin

  In Proceedings of CSL'03. No. 2803. Pages 58–70. 2003.

  Longer version available as an OUCL Research Report: http://web.comlab.ox.ac.uk/oucl/publications/tr/rr-02-11.html

  Details about Quantified constraints: algorithms and complexity | BibTeX data for Quantified constraints: algorithms and complexity | DOI (10.1007/b13224) | Download (pdf) of Quantified constraints: algorithms and complexity

• [27]

  Structural Theory of Automata‚ Semigroups‚ and Universal Algebra

  Andrei Krokhin‚ Andrei Bulatov and Peter Jeavons

  In Proceedings of SMS−NATO ASI. Pages 181−213. University of Montreal. 2003.

  Earlier version available as an OUCL Research Report: http://web.comlab.ox.ac.uk/oucl/publications/tr/rr-04-08.html

  Details about Structural Theory of Automata‚ Semigroups‚ and Universal Algebra | BibTeX data for Structural Theory of Automata‚ Semigroups‚ and Universal Algebra | Link to Structural Theory of Automata‚ Semigroups‚ and Universal Algebra

• [28]

  Finite semigroups imposing tractable constraints

  Andrei Bulatov‚ Peter Jeavons and Mikhail Volkov

  In Proceedings of the School on Algorithmic Aspects of the Theory of Semigroups and its Applications‚ Coimbra‚ Portugal‚ 2001. Pages 313–329. World Scientific‚ Singapore. 2002.

  Details about Finite semigroups imposing tractable constraints | BibTeX data for Finite semigroups imposing tractable constraints

• [29]

  A complete classification of complexity in Allen's algebra in the presence of a non−trivial basic relation

  Andrei Krokhin‚ Peter Jeavons and Peter Jonsson

  In Proceedings of IJCAI'01‚ Seattle‚ USA. Pages 83–88. 2001.

  Longer version available as an OUCL Research Report : http://web.comlab.ox.ac.uk/oucl/publications/tr/rr-01-02.html

  Details about A complete classification of complexity in Allen's algebra in the presence of a non−trivial basic relation | BibTeX data for A complete classification of complexity in Allen's algebra in the presence of a non−trivial basic relation

• [30]

  The complexity of maximal constraint languages

  Andrei Bulatov‚ Andrei Krokhin and Peter Jeavons

  In Proceedings of STOC'01‚ Crete‚ Greece. Pages 667–674. 2001.

  Earlier version available as an OUCL Research Report : http://web.comlab.ox.ac.uk/oucl/publications/tr/rr-01-03.html

  Details about The complexity of maximal constraint languages | BibTeX data for The complexity of maximal constraint languages | DOI (10.1145/380752.380868)

• [31]

  Constraint satisfaction problems and finite algebras

  Andrei Bulatov‚ Andrei Krokhin and Peter Jeavons

  In Proceedings of ICALP'00. No. 1853. Pages 272–282. 2000.

  Longer version available as an OUCL Technical Report : http://web.comlab.ox.ac.uk/oucl/publications/tr/tr-4-99.html

  Details about Constraint satisfaction problems and finite algebras | BibTeX data for Constraint satisfaction problems and finite algebras | DOI (10.1007/3-540-45022-X_24) | Link to Constraint satisfaction problems and finite algebras

• [32]

  How to determine the expressive power of constraints

  P.G.Jeavons‚ D.A.Cohen and M.Gyssens

  In Constraints. No. 4. Pages 113–131. 1999.

  Details about How to determine the expressive power of constraints | BibTeX data for How to determine the expressive power of constraints | Link to How to determine the expressive power of constraints

• [33]

  Constraint Tractability Theory And Its Application to the Product Development Process for a Constraint−Based Scheduler

  Lisa Purvis and Peter Jeavons

  In Proceedings of the 1st International Conference on The Practical Application of Constraint Technologies and Logic Programming. Pages 63–79. 1999.

  This paper was awarded First Prize in the Constraints Technologies area of PACLP'99

  Details about Constraint Tractability Theory And Its Application to the Product Development Process for a Constraint−Based Scheduler | BibTeX data for Constraint Tractability Theory And Its Application to the Product Development Process for a Constraint−Based Scheduler | Link to Constraint Tractability Theory And Its Application to the Product Development Process for a Constraint−Based Scheduler

• [34]

  Why higher order constraints are necessary to model frequency assignment problems

  P.G.Jeavons‚ N.W.Dunkin and J.E.Bater

  In ECAI'98 Workshop on Non−binary constraints. 1998.

  Details about Why higher order constraints are necessary to model frequency assignment problems | BibTeX data for Why higher order constraints are necessary to model frequency assignment problems | Link to Why higher order constraints are necessary to model frequency assignment problems

• [35]

  Constructing constraints

  P.G.Jeavons

  In Proceedings of the 4th International Conference on Principles and Practice of Constraint Programming (CP98). Vol. 1520 of Lecture Notes in Computer Science. Pages 2−16. 1998.

  Details about Constructing constraints | BibTeX data for Constructing constraints | DOI (10.1007/3-540-49481-2_2) | Link to Constructing constraints

• [36]

  Expressiveness of Binary Constraints for the Frequency Assignment Problem

  N.W.Dunkin and P.G.Jeavons

  In DIAL−M Workshop‚ 3rd Annual ACM/IEEE International Conference on Mobile Computing and Networking (MOBICOM'97). 1997.

  Details about Expressiveness of Binary Constraints for the Frequency Assignment Problem | BibTeX data for Expressiveness of Binary Constraints for the Frequency Assignment Problem | Link to Expressiveness of Binary Constraints for the Frequency Assignment Problem

• [37]

  Tractable Disjunctive Constraints

  D.A.Cohen‚ P.G.Jeavons and M.Kourabarakis

  In Proceedings 3rd International Conference on Principles and Practice of Constraint Programming (CP97). Vol. 1330 of Lecture Notes in Computer Science. No. 1330. Pages 478–490. 1997.

  Details about Tractable Disjunctive Constraints | BibTeX data for Tractable Disjunctive Constraints | DOI (10.1007/BFb0017461) | Link to Tractable Disjunctive Constraints

• [38]

  A Test for Tractability

  P.G.Jeavons‚ D.A.Cohen and M.Gyssens

  In Proceedings of the 2nd International Conference on Principles and Practice of Constraint Programming (CP96). Vol. 1118 of Lecture Notes in Computer Science. Pages 267−281. 1996.

  Details about A Test for Tractability | BibTeX data for A Test for Tractability | DOI (10.1007/3-540-61551-2_80) | Link to A Test for Tractability

• [39]

  Derivation of Constraints and Database Relations

  D.A.Cohen‚ M.Gyssens and P.G.Jeavons

  In Proceedings of the 2nd International Conference on Principles and Practice of Constraint Programming (CP96). Vol. 1118 of Lecture Notes in Computer Science. Pages 134–148. 1996.

  Details about Derivation of Constraints and Database Relations | BibTeX data for Derivation of Constraints and Database Relations | DOI (10.1007/3-540-61551-2_71) | Link to Derivation of Constraints and Database Relations

• [40]

  A Substitution Operation for Constraints

  P.G.Jeavons‚ D.A.Cohen and M.C.Cooper

  In Proceedings of the 1st International Conference on Principles and Practice of Constraint Programming (CP95). Vol. 874 of Lecture Notes in Computer Science. Pages 161−177. 1995.

  Details about A Substitution Operation for Constraints | BibTeX data for A Substitution Operation for Constraints | DOI (10.1007/3-540-58601-6_85) | Link to A Substitution Operation for Constraints

• [41]

  A Unifying Framework for Tractable Constraints

  P.G.Jeavons‚ D.A.Cohen and M.Gyssens

  In Proceedings of the 1st International Conference on Principles and Practice of Constraint Programming (CP95). Vol. 976 of Lecture Notes in Computer Science. Pages 276−291. 1995.

  Details about A Unifying Framework for Tractable Constraints | BibTeX data for A Unifying Framework for Tractable Constraints | DOI (10.1007/3-540-60299-2_17) | Link to A Unifying Framework for Tractable Constraints

Technical reports

• [1]

  The order encoding: from tractable CSP to tractable SAT

  Justyna Petke and Peter Jeavons

  No. RR−11−04. DCS‚ University of Oxford. 2011.

  Details about The order encoding: from tractable CSP to tractable SAT | BibTeX data for The order encoding: from tractable CSP to tractable SAT | Download  (pdf) of The order encoding: from tractable CSP to tractable SAT

• [2]

  Tackling the Partner Units Configuration Problem

  Markus Aschinger‚ Conrad Drescher‚ Gerhard Friedrich‚ Georg Gottlob‚ Peter Jeavons‚ Anna Ryabokon and Evgenij Thorstensen

  No. CS−RR−10−28. Computing Laboratory‚ University of Oxford. 2010.

  Details about Tackling the Partner Units Configuration Problem | BibTeX data for Tackling the Partner Units Configuration Problem | Download  (pdf) of Tackling the Partner Units Configuration Problem

• [3]

  An Algebraic Theory of Complexity for Valued Constraints: Establishing a Galois Connection

  David A. Cohen‚ Paidi Creed‚ Peter G. Jeavons and Stanislav Zivny

  No. RR−10−16. OUCL. November, 2010.

  Details about An Algebraic Theory of Complexity for Valued Constraints: Establishing a Galois Connection | BibTeX data for An Algebraic Theory of Complexity for Valued Constraints: Establishing a Galois Connection | Download  (pdf) of An Algebraic Theory of Complexity for Valued Constraints: Establishing a Galois Connection

• [4]

  Tractable Benchmarks For Constraint Programming

  Justyna Petke and Peter Jeavons

  No. RR−09−07. OUCL. 2009.

  Details about Tractable Benchmarks For Constraint Programming | BibTeX data for Tractable Benchmarks For Constraint Programming | Download  (pdf) of Tractable Benchmarks For Constraint Programming

• [5]

  The Expressive Power of Binary Submodular Functions

  Stanislav Živný‚ David A. Cohen and Peter G. Jeavons

  2008.

  arXiv:0811.1885 [cs.DM]

  Details about The Expressive Power of Binary Submodular Functions | BibTeX data for The Expressive Power of Binary Submodular Functions | Link to The Expressive Power of Binary Submodular Functions

• [6]

  Which submodular functions are expressible using binary submodular functions?

  Stanislav Živný and Peter G. Jeavons

  No. RR−08−08. OUCL. Oxford‚ UK. June, 2008.

  Details about Which submodular functions are expressible using binary submodular functions? | BibTeX data for Which submodular functions are expressible using binary submodular functions? | Download  (pdf) of Which submodular functions are expressible using binary submodular functions? | Download (pdf) of Which submodular functions are expressible using binary submodular functions?

• [7]

  Representing and Solving Finite−Domain Constraint Problems Using Systems of Polynomials

  Chris Jefferson‚ Peter Jeavons‚ Martin J. Green and M.R.C. van Dongen

  No. RR−07−07. Oxford University Computing Laboratory. October, 2007.

  Details about Representing and Solving Finite−Domain Constraint Problems Using Systems of Polynomials | BibTeX data for Representing and Solving Finite−Domain Constraint Problems Using Systems of Polynomials | Download  (pdf) of Representing and Solving Finite−Domain Constraint Problems Using Systems of Polynomials

• [8]

  The expressive power of valued constraints: hierarchies and collapses

  David A. Cohen‚ Peter G. Jeavons and Stanislav Živný

  No. RR−07−03. Computing Laboratory‚ University of Oxford. Oxford‚ UK. April, 2007.

  Details about The expressive power of valued constraints: hierarchies and collapses | BibTeX data for The expressive power of valued constraints: hierarchies and collapses | Download  (pdf) of The expressive power of valued constraints: hierarchies and collapses | Link to The expressive power of valued constraints: hierarchies and collapses

• [9]

  Generalising Submodularity and Horn Clauses: Tractable optimization problems defined by tournament pair multimorphisms

  Peter Jeavons‚ Martin C Cooper and David A Cohen

  No. RR−06−06. Oxford University Computing Laboratory. December, 2006.

  Details about Generalising Submodularity and Horn Clauses: Tractable optimization problems defined by tournament pair multimorphisms | BibTeX data for Generalising Submodularity and Horn Clauses: Tractable optimization problems defined by tournament pair multimorphisms | Download  (pdf) of Generalising Submodularity and Horn Clauses: Tractable optimization problems defined by tournament pair multimorphisms

• [10]

  Exact and Heuristic Approaches for Identifying Disease−Associated SNP Motifs

  Gaofeng Huang‚ Peter Jeavons and Dominic Kwiatkowski

  No. RR−05−03. Oxford University Computing Laboratory. July, 2005.

  Details about Exact and Heuristic Approaches for Identifying Disease−Associated SNP Motifs | BibTeX data for Exact and Heuristic Approaches for Identifying Disease−Associated SNP Motifs | Download  (ps) of Exact and Heuristic Approaches for Identifying Disease−Associated SNP Motifs

• [11]

  Supermodular Functions and the Complexity of MAX CSP

  David Cohen‚ Martin Cooper‚ Peter Jeavons and Andrei Krokhin

  No. RR−04−01. Oxford University Computing Laboratory. January, 2004.

  Details about Supermodular Functions and the Complexity of MAX CSP | BibTeX data for Supermodular Functions and the Complexity of MAX CSP | Download  (ps) of Supermodular Functions and the Complexity of MAX CSP

• [12]

  The Complexity of Constraint Satisfaction: An Algebraic Approach

  Andrei Krokhin‚ Andrei Bulatov and Peter Jeavons

  No. RR−04−08. Oxford University Computing Laboratory. May, 2004.

  Details about The Complexity of Constraint Satisfaction: An Algebraic Approach | BibTeX data for The Complexity of Constraint Satisfaction: An Algebraic Approach | Download  (pdf) of The Complexity of Constraint Satisfaction: An Algebraic Approach

• [13]

  Information categorisation in biological sequence alignments

  Sumedha Gunewardena and Peter Jeavons

  No. RR−04−24. Oxford University Computing Laboratory. November, 2004.

  Details about Information categorisation in biological sequence alignments | BibTeX data for Information categorisation in biological sequence alignments | Download  (ps) of Information categorisation in biological sequence alignments

• [14]

  Finding transcription factor binding sites in DNA Sequences: A template based approach

  Sumedha Gunewardena and Peter Jeavons

  No. RR−03−21. Oxford University Computing Laboratory. October, 2003.

  Details about Finding transcription factor binding sites in DNA Sequences: A template based approach | BibTeX data for Finding transcription factor binding sites in DNA Sequences: A template based approach | Download  (ps) of Finding transcription factor binding sites in DNA Sequences: A template based approach

• [15]

  Algebraic structures in combinatorial problems

  Andrei Bulatov and Peter Jeavons

  No. MATH−AL−4−2001. Technische Universitat Dresden. 2001.

  Details about Algebraic structures in combinatorial problems | BibTeX data for Algebraic structures in combinatorial problems | Link to Algebraic structures in combinatorial problems

• [16]

  Tractable constraints closed under a binary operation

  Andrei Bulatov and Peter Jeavons

  No. PRG−TR−12−00. Oxford University Computing Laboratory. 2000.

  Details about Tractable constraints closed under a binary operation | BibTeX data for Tractable constraints closed under a binary operation | Link to Tractable constraints closed under a binary operation

• [17]

  Are there optimal reuse distance constraints for FAPs with random Tx placements?

  J.E.Bater‚ P.G.Jeavons and D.A.Cohen

  No. CSD−TR−98−01. Royal Holloway‚ University of London. February, 1998.

  Details about Are there optimal reuse distance constraints for FAPs with random Tx placements? | BibTeX data for Are there optimal reuse distance constraints for FAPs with random Tx placements? | Link to Are there optimal reuse distance constraints for FAPs with random Tx placements?

• [18]

  Towards High Order Constraint Representations for the Frequency Assignment Problem

  N.W.Dunkin‚ J.E.Bater‚ P.G.Jeavons and D.A.Cohen

  No. CSD−TR−98−05. Royal Holloway‚ University of London. June, 1998.

  Details about Towards High Order Constraint Representations for the Frequency Assignment Problem | BibTeX data for Towards High Order Constraint Representations for the Frequency Assignment Problem | Link to Towards High Order Constraint Representations for the Frequency Assignment Problem

• [19]

  A Survey of Tractable Constraint Satisfaction Problems

  J.K.Pearson and P.G.Jeavons

  No. CSD−TR−97−15. Royal Holloway‚ University of London. July, 1997.

  Details about A Survey of Tractable Constraint Satisfaction Problems | BibTeX data for A Survey of Tractable Constraint Satisfaction Problems | Link to A Survey of Tractable Constraint Satisfaction Problems

Miscellaneous

• [1]

  Structural Decomposition Methods‚ and What They are Good For

  Markus Aschinger‚ Conrad Drescher‚ Georg Gottlob‚ Peter Jeavons and Evgenij Thorstensen

  2011.

  Invited Paper at STACS 2011

  Details about Structural Decomposition Methods‚ and What They are Good For | BibTeX data for Structural Decomposition Methods‚ and What They are Good For | Download  (pdf) of Structural Decomposition Methods‚ and What They are Good For