Publications

Cohen-Addad, V., Hjuler, N., Parotsidis, N., Saulpic, D. & Schwiegelshohn, C. (2019). Fully dynamic consistent facility location. Advances in Neural Information Processing Systems, 32.

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)

Brodal, G. S., Demaine, E. D. & Munro, J. I. (2005). Fast Allocation and Deallocation with an Improved Buddy System. Acta Informatica, 41(4-5), 273-291. https://doi.org/10.1007/s00236-004-0159-6

Schmidt, M., Schwiegelshohn, C. & Sohler, C. (2020). Fair Coresets and Streaming Algorithms for Fair k-means. In E. Bampis & N. Megow (Eds.), Approximation and Online Algorithms - 17th International Workshop, WAOA 2019, Revised Selected Papers (pp. 232-251). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11926 LNCS https://doi.org/10.1007/978-3-030-39479-0_16

Brodal, G. S. (2016). External Memory Three-Sided Range Reporting and Top-k Queries with Sublogarithmic Updates. In N. Ollinger & H. Vollmer (Eds.), 33rd Symposium on Theoretical Aspects of Computer Science (STACS 2016) (Vol. 47, pp. 23:1-23:14). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH. Leibniz International Proceedings in Informatics https://doi.org/10.4230/LIPIcs.STACS.2016.23

Arge, L., Brodal, G. S. & Satti, S. R. (2008). External Memory Planar Point Location with Logarithmic Updates. In M. Teilaud (Ed.), Proceedings of the twenty-fourth annual symposium on Computational geometry (pp. 139-147). Association for Computing Machinery. https://doi.org/10.1145/1377676.1377699

Arge, L. A., Brodal, G. S. & Satti, S. R. (2012). External Memory Planar Point Location with Logarithmic Updates. Algorithmica, 63(1-2), 457-475. https://doi.org/10.1007/s00453-011-9541-2

Wilkinson, B. T. (2015). Exploring the Problem Space of Orthogonal Range Searching. Department of Computer Science, Aarhus University.

Belazzougui, D., Brodal, G. S. & Nielsen, J. A. S. (2014). Expected linear time sorting for word size Ω(log² n log log n). In R. Ravi & I. L. Gørtz (Eds.), Algorithm Theory – SWAT 2014: 14th Scandinavian Symposium and Workshops, Copenhagen, Denmark, July 2-4, 2014. Proceedings (pp. 26-37). Springer VS. Lecture Notes in Computer Science Vol. 8503 https://doi.org/10.1007/978-3-319-08404-6_3

Chytrý, M., Hennekens, S. M., Jiménez-Alfaro, B., Knollová, I., Dengler, J., Jansen, F., Landucci, F., Schaminée, J. H. J., Aćić, S., Agrillo, E., Ambarlı, D., Angelini, P., Apostolova, I., Attorre, F., Berg, C., Bergmeier, E., Biurrun, I., Botta-Dukát, Z., Brisse, H. ... Yamalov, S. (2015). European Vegetation Archive (EVA): an integrated database of European vegetation plots. Applied Vegetation Science, 19(1), 173-180. https://doi.org/10.1111/avsc.12191

Brodal, G. S., Fagerberg, R. & Vinther, K. (2004). Engineering a Cache-Oblivious Sorting Algorithm. In Proceedings of the Sixth Annual Workshop on Algorithm Engineering and Experiments, ALENEX '04 (pp. 4-17). Society for Industrial and Applied Mathematics.

Brodal, G. S., Fagerberg, R. & Vinther, K. (2007). Engineering a Cache-Oblivious Sorting Algorithm. Journal of Experimental Algorithmics, 12. https://doi.org/10.1145/1227161.1227164

Tichý, L., Axmanová, I., Dengler, J., Guarino, R., Jansen, F., Midolo, G., Nobis, M. P., Van Meerbeek, K., Aćić, S., Attorre, F., Bergmeier, E., Biurrun, I., Bonari, G., Bruelheide, H., Campos, J. A., Čarni, A., Chiarucci, A., Ćuk, M., Ćušterevska, R. ... Chytrý, M. (2023). Ellenberg-type indicator values for European vascular plant species. Journal of Vegetation Science, 34(1), [e13168]. https://doi.org/10.1111/jvs.13168

Brodal, G. S., Fagerberg, R., Mailund, T., Pedersen, C. N. S. & Sand, A. (2013). Efficient Algorithms for Computing the Triplet and Quartet Distance Between Trees of Arbitrary Degree. The Annual A C M - S I A M Symposium on Discrete Algorithms. Proceedings, 24, 1814-1832. http://knowledgecenter.siam.org/0236-000098/0236-000098/1

Brunbjerg, A. K., Bruun, H. H., Moeslund, J. E., Sadler, J. P., Svenning, J-C. & Ejrnæs, R. (2017). Ecospace: a unified framework for understanding variation in terrestrial biodiversity. Basic and Applied Ecology, 18, 86-94. https://doi.org/10.1016/j.baae.2016.09.002

Brunbjerg, A. K., Bruun, H. H., Moeslund, J. E., Sadler, J. P., Svenning, J-C. & Ejrnæs, R. (2015). Ecospace - a unified framework for understanding variation in biodiversity. Poster session presented at Biodiversitetssymposiet 2015, Aarhus , Denmark.

Assmann, J. J., Moeslund, J. E., Treier, U. A. & Normand, S. (2022). EcoDes-DK15: high-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set. Earth System Science Data, 14(2), 823-844. https://doi.org/10.5194/essd-14-823-2022

Brodal, G. S. & Leonardi, S. (Eds.) (2005). ESA 2005: 13th Annual European Symposium: Springer LNCS 3669.

Brodal, G. S. & Fagerberg, R. (1999). Dynamic Representations of Sparse Graphs. In F. Dehne, J-R. Sack, A. Gupta & R. Tamassia (Eds.), Algorithms and Data Structures: 6th International Workshop, WADS’99 Vancouver, Canada, August 11–14, 1999 Proceedings (pp. 773-782). Springer. Lecture Notes in Computer Science Vol. 1663 https://doi.org/10.1007/3-540-48447-7_34

Brodal, G. S. & Tsakalidis, K. (2011). Dynamic Planar Range Maxima Queries. Lecture Notes in Computer Science, 6755 , 256-267. https://doi.org/10.1007/978-3-642-22006-7_22

Brodal, G. S. & Jakob, R. (2000). Dynamic Planar Convex Hull with Optimal Query Time and O(log n · log log n ) Update Time. In Algorithm Theory - SWAT 2000: 7th Scandinavian Workshop on Algorithm Theory Bergen, Norway, July 5–7, 2000 Proceedings (pp. 181-186). Springer. Lecture Notes in Computer Science Vol. 1851 https://doi.org/10.1007/3-540-44985-X_7

Brodal, G. S. & Jacob, R. (2002). Dynamic Planar Convex Hull. In Proceedings of the 43rd Annual IEEE Symposium on Foundations of Computer Science: (pp. 617-626). IEEE Press. https://doi.org/10.1109/SFCS.2002.1181875

Brodal, G. S., Georgiadis, L., Hansen, K. A. & Katriel, I. (2007). Dynamic Matchings in Convex Bipartite Graphs. In L. Kucera & A. Kucera (Eds.), Proc. 32nd International Symposium on Mathematical Foundations of Computer Science (pp. 406-417). Springer. Lecture Notes in Computer Science Vol. 4708 https://doi.org/10.1007/978-3-540-74456-6_37

Kejlberg-Rasmussen, C. (2013). Dynamic Data Structures: The Interplay of Invariants and Algorithm Design. Department of Computer Science, Aarhus University.

Stølting Brodal, G., Kaporis, A. C., Papadopoulos, A. N., Sioutas, S., Tsakalidis, K. & Tsichlas, K. (2014). Dynamic 3-sided planar range queries with expected doubly-logarithmic time. Theoretical Computer Science, 526(March), 58-74. https://doi.org/10.1016/j.tcs.2014.01.014

Brodal, G. S., Kaporis, A. C., Sioutas, S., Tsakalidis, K. & Tsichlas, K. (2009). Dynamic 3-sided Planar Range Queries with Expected Doubly Logarithmic Time. Lecture Notes in Computer Science, 5878, 193-202. https://doi.org/10.1007/978-3-642-10631-6_21

Sporbert, M., Welk, E., Seidler, G., Jandt, U., Acic, S., Biurrun, I., Campos, J. A., Čarni, A., Cerabolini, B. E. L., Chytrý, M., Ćušterevska, R., Dengler, J., De Sanctis, M., Dziuba, T., Fagúndez, J., Field, R., Golub, V., He, T., Jansen, F. ... Bruelheide, H. (2021). Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales. Journal of Vegetation Science, 32(2), [e13016]. https://doi.org/10.1111/jvs.13016

Brunbjerg, A. K., Bladt, J., Brink, M., Fredshavn, J. R., Mikkelsen, P., Moeslund, J. E., Nygaard, B., Skov, F. & Ejrnæs, R. (2016). Development and implementation of a High Nature Value (HNV) farming indicator for Denmark. Ecological Indicators, 61(2), 274-281. https://doi.org/10.1016/j.ecolind.2015.09.027

Groom, G. B., Bladt, J., Moeslund, J. E. & Ejrnæs, R. (2018). Developing biodiversity proxies: Technical description. Aarhus Universitet, DCE – Nationalt Center for Miljø og Energi ©. Technical Report from DCE – Danish Centre for Environment and Energy No. 123

Afshani, P., Chan, T. M. & Tsakalidis, K. (2014). Deterministic Rectangle Enclosure and Offline Dominance Reporting on the RAM. In J. Esparza , P. Fraigniaud, T. Husfeldt & E. Koutsoupias (Eds.), Automata, Languages, and Programming: 41st International Colloquium, ICALP 2014, Copenhagen, Denmark, July 8-11, 2014, Proceedings, Part I (pp. 77-88 ). Springer VS. Lecture Notes in Computer Science Vol. 8572 https://doi.org/10.1007/978-3-662-43948-7_7

Eenberg, K., Larsen, K. G. & Yu, H. (2017). DecreaseKeys are expensive for external memory priority queues. In STOC 2017 - Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing (Vol. Part F128415, pp. 1081-1093). Association for Computing Machinery. https://doi.org/10.1145/3055399.3055437

Displaying results 201 to 250 out of 340