Publications

Moeslund, J. E., Arge, L., Bøcher, P. K., Nygaard, B. & Svenning, J-C. (2009). Konsekvenser af "coastal squeezing" for plantesamfund på strandenge i Danmark.

Brodal, G. S., Greve, M., Pandy, V. & Satti, S. R. (2014). Integer representations towards efficient counting in the bit probe model. Journal of Discrete Algorithms, 26(May), 34–44. https://doi.org/10.1016/j.jda.2013.11.001

Brodal, G. S., Greve, M., Pandey, V. & Satti, S. R. (2011). Integer Representations towards Efficient Counting in the Bit Probe Model. Lecture Notes in Computer Science, 6648, 206-217. https://doi.org/10.1007/978-3-642-20877-5_22

Madalgo, P. A., Barbay, J. & Chan, T. M. (2017). Instance-optimal geometric algorithms. Journal of the ACM, 64(1), [3]. https://doi.org/10.1145/3046673

Moeslund, J. E. & Helsing, F., (2020). Indsamlingsforbud for danske dagsommerfugle, 13 p., Notat fra DCE - Nationalt Center for Miljø og Energi Vol. 2020 No. 24 https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notatet_2020/N2020_24.pdf

Afshani, P. & Phillips, J. M. (2019). Independent range sampling, revisited again. In G. Barequet & Y. Wang (Eds.), 35th International Symposium on Computational Geometry, SoCG 2019 [4] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 129 https://doi.org/10.4230/LIPIcs.SoCG.2019.4

Afshani, P. (2012). Improved pointer machine and I/O lower bounds for simplex range reporting and related problems. In Proceedings of the 2012 Symposuim on Computational Geometry, SoCG (pp. 339-346 ). Association for Computing Machinery. https://doi.org/10.1145/2261250.2261301

Larsen, K. G. & Nguyen, H. L. (2012). Improved Range Searching Lower Bounds. In Proceedings of the 2012 symposuim on Computational Geometry: Chapel Hill, NC, USA — June 17 - 20, 2012 (pp. 171-178). Association for Computing Machinery. https://doi.org/10.1145/2261250.2261275

Brodal, G. S., Arge, L. & Georgiadis, L. (2006). Improved Dynamic Planar Point Location. In Proceedings of the 47th Annual Symposium on Foundations of Computer Science (pp. 305-314). IEEE. https://doi.org/10.1109/FOCS.2006.40

Brodal, G. S. & Srinivasan, V. (2000). Improved Bounds for Dictionary Look-up with One Error. Information Processing Letters, 75(1-2), 57-59. https://doi.org/10.1016/S0020-0190(00)00079-X

Moeslund, J. E., Bøcher, P. K., Svenning, J-C., Møllehave, T. & Arge, L. (2009). Impacts of 21^stcentury sea-level rise on a Danish major city - an assessment based on fine-resolution digital topography and a new flooding algorithm. IOP Conference Series: Earth and Environment Science, 8(1), 012022. https://doi.org/10.1088/1755-1315/8/1/012022

Afshani, P. & Sitchinava, N. (2014). I/O-efficient range minima queries. In R. Ravi & I. L. Gørtz (Eds.), Algorithm Theory – SWAT 2014: 14th Scandinavian Symposium and Workshops, Copenhagen, Denmark, July 2-4, 2014. Proceedings (pp. 1-12). Springer VS. Lecture Notes in Computer Science Vol. 8503 https://doi.org/10.1007/978-3-319-08404-6_1

Agarwal, P. K., Arge, L. A., Brodal, G. S. & Vitter, J. S. (1999). I/O-efficient dynamic point location in monotone planar subdivisions. In Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms (pp. 11-20). Association for Computing Machinery.

Afshani, P., Arge, L. A. & Larsen, K. D. (2010). I/O-efficient Orthogonal Range Reporting in Three and Higher Dimensions. Abstract from Workshop on Massive Data Algorithms, Snowbird, United States.

Kejlberg-Rasmussen, C., Tao, Y., Tsakalidis, K., Tsichlas, K. & Yoon, J. (2021). I/O-efficient 2-d orthogonal range skyline and attrition priority queues. Computational Geometry: Theory and Applications, 93, [101689]. https://doi.org/10.1016/j.comgeo.2020.101689

Arge, L. & Larsen, K. G. (2012). I/O-Efficient Spatial Data Structures for Range Queries. SIGSPATIAL Special, 4(2), 2-7. http://www.sigspatial.org/sigspatial-special-issues/SIGSPATIALSpecialVol4No2.pdf

Kejlberg-Rasmussen, C., Tao, Y., Tsakalidis, K., Tsichlas, K. & Yoon, J. (2013). I/O-Efficient Planar Range Skyline and Attrition Priority Queues. In R. Hull & W. Fan (Eds.), Proceedings of the 32nd symposium on Principles of database systems , PODS '13 (pp. 103-114 ). Association for Computing Machinery. A C M. S I G A C T - S I G M O D - S I G A R T Symposium on Principles of Database Systems. Proceedings https://doi.org/10.1145/2463664.2465225

Kejlberg-Rasmussen, C., Tsakalidis, K. & Tsichlas, K. (2012). I/O-Efficient Dynamic Planar Range Skyline Queries. arXiv.org. http://arxiv.org/abs/1207.2341

Larsen, K. G. & Pagh, R. (2012). I/O-Efficient Data Structures for Colored Range and Prefix Reporting. The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings, 23, 583-592. http://siam.omnibooksonline.com/2012SODA/index.html

Odgaard, M. V., Moeslund, J. E., Dalgaard, T., Bøcher, P. K. & Svenning, J-C. (2014). Human-driven topographic effects on the distribution of forest in a flat, lowland agricultural region. Journal of Geographical Sciences, 24(1), 76-92. https://doi.org/10.1007/s11442-014-1074-6

Baum, C., Damgård, I. B., Larsen, K. G. & Nielsen, M. (2016). How to prove knowledge of small secrets. In J. Katz & M. Robshaw (Eds.), Annual Cryptology Conference : CRYPTO 2016: Advances in Cryptology – CRYPTO 2016 (Vol. 9816, pp. 478-498). Springer VS. Lecture Notes in Computer Science Vol. 9816 https://doi.org/10.1007/978-3-662-53015-3_17

Alamdari, S., Angelini, P., Barrera-Cruz, F., Chan, T. M., Da Lozzo, G., Di Battista, G., Frati, F., Haxell, P., Lubiw, A., Patrignani, M., Roselli, V., Singla, S. & Wilkinson, B. T. (2017). How to Morph Planar Graph Drawings. S I A M Journal on Computing, 46(2), 824-852. https://doi.org/10.1137/16M1069171

Arge, L., Afshani, P. & Larsen, K. G. (2012). Higher-dimensional Orthogonal Range Reporting and Rectangle Stabbing in the Pointer Machine Model. In Proceedings of the 2012 Symposuim on Computational Geometry (pp. 323-338). Association for Computing Machinery. https://doi.org/10.1145/2261250.2261299

Larsen, K. G. (2012). Higher Cell Probe Lower Bounds for Evaluating Polynomials. In FOCS'12: IEEE 53rd Annual Symposium on Foundations of Computer Science (pp. 293 - 301 ). IEEE Computer Society Press. https://doi.org/10.1109/FOCS.2012.21

Larsen, K. G., Nelson, J., Nguyen, H. L. & Thorup, M. (2016). Heavy hitters via cluster-preserving clustering. In 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS) (pp. 61-70). IEEE. https://doi.org/10.1109/FOCS.2016.16

Larsen, K. G., Nelson, J., Huy L Nguyen & Thorup, M. (2019). Heavy Hitters via Cluster-Preserving Clustering. Communications of the ACM, 62(8), 95-100. https://doi.org/10.1145/3339185

Ajwani, D., Sitchinava, N. & Zeh, N. (2010). Geometric Algorithms for Private-Cache Chip Multiprocessors. Lecture Notes in Computer Science, 6347, 75-86. https://doi.org/10.1007/978-3-642-15781-3_7

Moeslund, J. E., Arge, L. A., Bøcher, P. K., Nygaard, B. & Svenning, J-C. (2011). Geographically Comprehensive Assessment of Salt-Meadow Vegetation-Elevation Relations Using LiDAR. Wetlands, 31(3), 471-482. https://doi.org/10.1007/s13157-011-0179-2

Larsen, K. G., Starup, J. L. & Steensgaard, J. (2021). Further Unifying the Landscape of Cell Probe Lower Bounds. Paper presented at Happening virtually , -. https://cs.au.dk/~larsen/papers/FurtherUnifying.pdf

Brodal, G. S., Fagerberg, R., Bose, P. (Ed.) & Morin, P. (Ed.) (2002). Funnel Heap - A Cache Oblivious Priority Queue. In P. Bose & P. Morin (Eds.), Algorithms and Computation: 13th International Symposium, ISAAC 2002 Vancouver, BC, Canada, November 21–23, 2002 Proceedings (pp. 219-228). Springer. Lecture Notes in Computer Science Vol. 2518 https://doi.org/10.1007/3-540-36136-7_20

Brodal, G. S., Sioutas, S., Tsakalidis, K. & Tsichlas, K. (2020). Fully persistent B-trees. Theoretical Computer Science, 841, 10-26. https://doi.org/10.1016/j.tcs.2020.06.027

Freksen, C. B., Kamma, L. & Larsen, K. G. (2018). Fully Understanding the Hashing Trick. arXiv.org. http://arxiv.org/abs/1805.08539

Freksen, C. B., Kamma, L. & Larsen, K. G. (2018). Fully Understanding the Hashing Trick. 1. Poster session presented at Neural Information Processing Systems Conference, Montreal, Canada.

Brodal, G. S., Sioutas, S., Tsakalidis, K. & Tsichlas, K. (2012). Fully Persistent B-trees. The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings, 23, 602-614. http://delivery.acm.org.ez.statsbiblioteket.dk:2048/10.1145/2100000/2095167/p602-brodal.pdf?ip=130.225.27.190&acc=ACTIVE%20SERVICE&CFID=163115493&CFTOKEN=91446070&__acm__=1356816735_08b5a98a0788aa0b0163ee8e9fc7dce3

Afshani, P., Fagerberg, R., Hammer, D., Jacob, R., Kostitsyna, I., Meyer, U., Penschuck, M. & Sitchinava, N. (2019). Fragile complexity of comparison-based algorithms. In M. A. Bender, O. Svensson & G. Herman (Eds.), 27th Annual European Symposium on Algorithms, ESA 2019 [2] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 144 https://doi.org/10.4230/LIPIcs.ESA.2019.2

Peterka, T., Hájek, M., Jiroušek, M., Jiménez-Alfaro, B., Aunina, L., Bergamini, A., Dítě, D., Felbaba-Klushyna, L., Graf, U., Hájková, P., Hettenbergerová, E., Ivchenko, T. G., Jansen, F., Koroleva, N. E., Lapshina, E. D., Lazarević, P. M., Moen, A., Napreenko, M. G., Pawlikowski, P. ... Chytrý, M. (2017). Formalized classification of European fen vegetation at the alliance level. Applied Vegetation Science, 20(1), 124-142. https://doi.org/10.1111/avsc.12271

Brodal, G. S. (1998). Finger search trees with constant insertion time. In Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms (pp. 540-549). Society for Industrial and Applied Mathematics.

Brodal, G. S., Nielsen, J. A. S. & Truelsen, J. (2012). Finger Search in the Implicit Model. Lecture Notes in Computer Science, 7676, 527-536 . https://doi.org/10.1007/978-3-642-35261-4_55

Brodal, G. S. (2005). Finger Search Trees. In D. Mehta & S. Sahni (Eds.), Handbook of Data Structures and Applications CRC Press.

Brodal, G. S. & Pedersen, C. N. S. (2000). Finding Maximal Quasiperiodicities in Strings. In R. Giancarlo & D. Sankoff (Eds.), Combinatorial Pattern Matching: 11th Annual Symposium, CPM 2000 Montreal, Canada, June 21–23, 2000 Proceedings (pp. 397-411). Springer. Lecture Notes in Computer Science Vol. 1848 https://doi.org/10.1007/3-540-45123-4_33

Brodal, G. S., Lyngsø, R. B., Pedersen, C. N. S. & Stoye, J. (1999). Finding Maximal Pairs with Bounded Gap. In M. Crochemore & M. Paterson (Eds.), Combinatorial Pattern Matching: 10th Annual Symposium, CPM 99 Warwick University, UK, July 22–24, 1999 Proceedings (pp. 134-149). Springer. Lecture Notes in Computer Science Vol. 1645 https://doi.org/10.1007/3-540-48452-3_11

Jørgensen, A. G., Brodal, G. S. & Mølhave, T. (2009). Fault Tolerant External Memory Algorithms. Lecture Notes in Computer Science, 5664, 411-422. https://doi.org/10.1007/978-3-642-03367-4_36

Larsen, K. G. & Williams, R. (2017). Faster Online Matrix-Vector Multiplication. In P. N. Klein (Ed.), Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms (Vol. PRDA17, pp. 2182-2189). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611974782

Brodal, G. S., Kaligosi, K., Katriel, I. & Kutz, M. (2005). Faster Algorithms for Computing Longest Common Increasing Subsequences. B R I C S Report Series, (RS-05-37).

Brodal, G. S., Kaligosi, K., Katriel, I. & Kutz, M. (2006). Faster Algorithms for Computing Longest Common Increasing Subsequences. In M. Lewenstein & G. Valiente (Eds.), Combinatorial Pattern Matching (pp. 330-341). Springer. Lecture Notes in Computer Science Vol. 4009 https://doi.org/10.1007/11780441_30

Kutz, M., Brodal, G. S., Kaligosi, K. & Katriel, I. (2011). Faster Algorithms for Computing Longest Common Increasing Subsequences. Journal of Discrete Algorithms, 9(4), 314-325. https://doi.org/10.1016/j.jda.2011.03.013

Brodal, G. S. (1995). Fast meldable priority queues. In S. G. Akl, F. Dehne, J-R. Sack & N. Santoro (Eds.), Algorithms and Data Structures: 4th International Workshop, WADS '95 Kingston, Canada, August 16–18, 1995 Proceedings (pp. 282-290). Springer. Lecture Notes in Computer Science Vol. 955 https://doi.org/10.1007/3-540-60220-8_70

de Berg, M., Tsirogiannis, C. & Wilkinson, B. T. (2015). Fast computation of categorical richness on raster data sets and related problems. In GIS '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems [18] https://doi.org/10.1145/2820783.2820825

Afshani, P. (2014). Fast Computation of Output-Sensitive Maxima in a Word RAM. In C. Chekuri (Ed.), Proceedings of the 25th Annual ACM-SIAM Symposium on Discrete Algorithms: SODA 2014; Portland, OR; United States; 5 January 2014 through 7 January 2014 (pp. 1414-1423). Association for Computing Machinery. http://www.scopus.com/inward/record.url?scp=84902105500&partnerID=8YFLogxK

de Berg, M., Tsirogiannis, C. & Wilkinson, B. (2015). Fast Computation of Categorical Richness on Raster Data Sets and Related Problems. In Proceedings. Workshop on Massive Data Algorithmics (MASSIVE) (pp. 86-107)

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