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manuscript_E03065
https://api.newton.ac.uk/website/v0/events/preprints/NI03080J. Appl. Mech 48, 803-808. Drescher, A., de Josselin de Jong, G. -
jun04.dvi
https://api.newton.ac.uk/website/v0/events/preprints/NI040192/ Q o KOLt =2/ O c -.<:.<.( 2' O. A) 8.1M0 (2 ()-1 3 -=< :808<2b -1 ()8( () :02c8c-=-(-1 80 8908/< 290? -
Perfectly Matched Layers in 1-d : Energy decay for ...
https://api.newton.ac.uk/website/v0/events/preprints/NI07024Perfectly Matched Layers in 1-d :. Energy decay for continuous. and semi-discrete waves. S. Ervedoza†and E. Zuazua. ‡. Abstract. In this paper we investigate the eciency of the method of Perfectly. Matched Layers (PML) for the 1-d wave equation. -
arXiv:0802.2687v1 [math.SP] 19 Feb 2008
https://api.newton.ac.uk/website/v0/events/preprints/NI09009Proceedings of Symposia in Pure Mathematics. Thin tubes in mathematical physics, global analysis and. spectral geometry. Daniel Grieser. Abstract. A thin tube is an n-dimensional space which is very thin in n1 di-rections, compared to the remaining -
newton-Wmag-cosmo.dvi
https://api.newton.ac.uk/website/v0/events/preprints/NI10039R. Acad.Sci. Paris I Math. 305 (1987) 805-808. [13] Y. Brenier, Polar factorization and monotone rearrangement of vector-valued functions, Comm.Pure Appl. -
bmscej_REV2_MZ_5_10_2011.dvi
https://api.newton.ac.uk/website/v0/events/preprints/NI110440.20 0.05 0.653 0.660 0.674 0.741 0.777 0.808 0.834 0.8580.647 0.543. -
Using Animal Instincts to Design Efficient Biomedical Studies Jiaheng …
https://api.newton.ac.uk/website/v0/events/preprints/NI13038Using Animal Instincts to Design Efficient Biomedical. Studies. Jiaheng Qiua, Ray-Bing Chenb, Weichung Wangc, Weng Kee Wongd. aDepartment of Biostatistics, University of California, Los Angeles, CA 90095, USAbDepartment of Statistics, National -
poisson ratio 06292013.dvi
https://api.newton.ac.uk/website/v0/events/preprints/NI130400.855 0.821 1.107 0.492FTIlog: 5 0.852 0.654 1.129 0.496FJIlog: 6 0.850 0.808 1.256 0.497FSNI: 7 0.879 0.713 -
GOAL-ORIENTED ERROR ESTIMATION AND ADAPTIVITYFOR ELLIPTIC PDES WITH…
https://api.newton.ac.uk/website/v0/events/preprints/NI17020GOAL-ORIENTED ERROR ESTIMATION AND ADAPTIVITYFOR ELLIPTIC PDES WITH PARAMETRIC OR. UNCERTAIN INPUTS. ALEX BESPALOV, DIRK PRAETORIUS, LEONARDO ROCCHI, AND MICHELE RUGGERI. Abstract. We use the ideas of goal-oriented error estimation and adaptivity to -
Challenges_modelling_interventions_final
https://api.newton.ac.uk/website/v0/events/preprints/NI200151. Challenges for modelling interventions for future pandemics 1 2 Mirjam E. Kretzschmar1, Ben Ashby2, Elizabeth Fearon3,4, Christopher E. Overton5,6,7, Jasmina 3 Panovska-Griffiths8,9, Lorenzo Pellis5,6,10, Matthew Quaife11, Ganna Rozhnova1,12,
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