STEVEN ELSWORTH


Numerical Analysis PhD Student

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Current Research


I am a fourth year PhD student at the University of Manchester supervised by Stefan Güttel. My research is funded by EPSRC and Sabisu. My research is real time clustering of time series, machine learning and Krylov subspace methods.

Papers


        @article{EG19,
          title   = {Conversions between barycentric, {RKFUN}, and {N}ewton representations of
                     rational interpolants},
          author  = {Elsworth, Steven and G{\"u}ttel, Stefan},
          year    = {2019},
          volume  = {576},
          pages   = {246--257},
          journal = {Linear Algebra Appl.}
        }
			
        @techreport{EG20,
          title   = {The block rational {A}rnoldi method},
          author  = {Elsworth, Steven and G\"{u}ttel, Stefan},
          year    = {2020},
          number  = {2019.2},
          pages   = {23},
          institution = {Manchester Institute for Mathematical Sciences, The University of Manchester},
          address = {UK},
          type    = {MIMS EPrint},
          url     = {http://eprints.maths.manchester.ac.uk/2685/},
          note    = {Accepted for publication in SIAM J. Matrix Anal. Appl.}
        }
			
        @techreport{EG19b,
          title   = {{ABBA}: Adaptive Brownian bridge-based symbolic aggregation of time series},
          author  = {Elsworth, Steven and G\"{u}ttel, Stefan},
          year    = {2019},
          number  = {2019.11},
          pages   = {13},
          institution = {Manchester Institute for Mathematical Sciences, The University of Manchester},
          address = {UK},
          type    = {MIMS EPrint},
          url     = {http://eprints.maths.manchester.ac.uk/2712/}
        }
      
      @techreport{EG20,
        title   = {{Time Series Forecasting Using LSTM Networks:
                    A Symbolic Approach}},
        author  = {Elsworth, Steven and G\"{u}ttel, Stefan},
        year    = {2020},
        number  = {arXiv:2003.05672v1},
        pages   = {12},
        institution = {Manchester Institute for Mathematical Sciences,
                       The University of Manchester},
        address = {UK},
        type    = {arXiv EPrint},
        url     = {https://arxiv.org/abs/2003.05672}
      }
      

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