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Results: 82
Number of items: 82
  • Open Access
    Stevenson, R. (2016). Divergence-Free Wavelets on the Hypercube: General Boundary Conditions. Constructive Approximation, 44(2), 233-267. https://doi.org/10.1007/s00365-016-9325-7
  • Open Access
    Broersen, D. (2016). Discontinuous Petrov-Galerkin methods with optimal test spaces for convection dominated convection-diffusion equations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Cihangir, A. (2016). Nonobtuse simplices & special matrix classes. [Thesis, fully internal, Universiteit van Amsterdam].
  • Canuto, C., Nochetto, R. H., Stevenson, R., & Verani, M. (2015). High-Order Adaptive Galerkin Methods. In R. M. Kirby, M. Berzins, & J. S. Hesthaven (Eds.), Spectral and High Order Methods for Partial Differential Equations : ICOSAHOM 2014: selected papers from the ICOSAHOM conference, June 23-27, 2014, Salt Lake City, Utah, USA (pp. 51-72). (Lecture Notes in Computational Science and Engineering ; Vol. 106). Springer. https://doi.org/10.1007/978-3-319-19800-2_4
  • Broersen, D., & Stevenson, R. P. (2015). A Petrov-Galerkin discretization with optimal test space of a mild-weak formulation of convection-diffusion equations in mixed form. IMA Journal of Numerical Analysis, 35(1), 39-73. https://doi.org/10.1093/imanum/dru003
  • Chegini, N., & Stevenson, R. (2015). An Adaptive Wavelet Method for Semi-Linear First-Order System Least Squares. Computational methods in applied mathematics, 15(4), 439-463. https://doi.org/10.1515/cmam-2015-0023
  • Stevenson, R. P. (2014). First-order system least squares with inhomogeneous boundary conditions. IMA Journal of Numerical Analysis, 34(3), 863-878. https://doi.org/10.1093/imanum/drt042
  • Kestler, S., & Stevenson, R. (2014). Fast evaluation of system matrices w.r.t. multi-tree collections of tensor product refinable basis functions. Journal of Computational and Applied Mathematics, 260, 103-116. https://doi.org/10.1016/j.cam.2013.09.015
  • Stevenson, R. (2014). Adaptive Wavelet Methods for Linear and Nonlinear Least-Squares Problems. Foundations of Computational Mathematics, 14(2), 237-283. https://doi.org/10.1007/s10208-013-9184-6
  • Chegini, N. G., Dahlke, S., Friedrich, U., & Stevenson, R. (2014). Piecewise Tensor Product Wavelet Bases by Extensions and Approximation Rates. In S. Dahlke, W. Dahmen, M. Griebel, W. Hackbusch, K. Ritter, R. Schneider, C. Schwab, & H. Yserentant (Eds.), Extraction of quantifiable information from complex systems (pp. 69-81). (Lecture Notes in Computational Science and Engineering; No. 102). Springer. https://doi.org/10.1007/978-3-319-08159-5_4
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