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Results: 82
Number of items: 82
  • Open Access
    Monsuur, H. (2025). Least squares methods for partial differential equations: Ill-conditioned and ill-posed problems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Monsuur, H., & Stevenson, R. (2025). Ultra-Weak Least Squares Discretizations for Unique Continuation and Cauchy Problems. SIAM journal on numerical analysis, 63(3), 1344-1368. https://doi.org/10.1137/24M1674844
  • Open Access
    Gantner, G., & Stevenson, R. (2024). Improved rates for a space–time FOSLS of parabolic PDEs. Numerische Mathematik, 156(1), 133-157. https://doi.org/10.1007/s00211-023-01387-3
  • Open Access
    Gantner, G., & Stevenson, R. (2024). Applications of a space-time FOSLS formulation for parabolic PDEs. IMA Journal of Numerical Analysis, 44(1), 58-82. https://doi.org/10.1093/imanum/drad012
  • Open Access
    Monsuur, H., Stevenson, R., & Storn, J. (2024). Minimal residual methods in negative or fractional Sobolev norms. Mathematics of Computation, 93(347), 1027-1052. https://doi.org/10.1090/mcom/3904
  • Open Access
    Stevenson, R. (2024). A Convenient Inclusion of Inhomogeneous Boundary Conditions in Minimal Residual Methods. Computational methods in applied mathematics, 24(4), 983-994. https://doi.org/10.1515/cmam-2023-0072
  • Open Access
    Stevenson, R., & Storn, J. (2023). Interpolation operators for parabolic problems. Numerische Mathematik, 155(1-2), 211-238. https://doi.org/10.1007/s00211-023-01373-9
  • Open Access
    Monsuur, H., & Stevenson, R. (2023). A pollution-free ultra-weak FOSLS discretization of the Helmholtz equation. Computers & Mathematics with Applications, 148, 241-255. https://doi.org/10.1016/J.CAMWA.2023.08.013
  • Open Access
    Dahmen, W., Monsuur, H., & Stevenson, R. (2023). Least squares solvers for ill-posed PDEs that are conditionally stable. ESAIM: Mathematical Modelling and Numerical Analysis, 57(4), 2227-2255. https://doi.org/10.1051/M2AN/2023050
  • Open Access
    Stevenson, R., van Venetië, R., & Westerdiep, J. (2022). A wavelet-in-time, finite element-in-space adaptive method for parabolic evolution equations. Advances in Computational Mathematics, 48(3), Article 17. https://doi.org/10.1007/s10444-022-09930-w
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