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Dr Nadezda Sukhorukova

Lecturer
PhD, Applied Mathematics and Optimisation, St-Petersburg State University, Russian Federation; PhD, Applied Mathematics, Federation University Australia (former University of Ballarat), Australia

Research interests

Mathematical modelling

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Principal Coordinating Supervisor students as Masters & Doctoral Supervision.

PhD topics and outlines

An optimisation-based framework for non-classical Chebyshev approximation (ARC discovery project DP180100602). : Scholarship 26,300 per year (tax free).In this project you will work on extending classical results in approximation theory by developing a methodology that lies at the crossroads between analysis, algebra and geometry.  You will work on these challenging topics with an international team of researchers with a variety of mathematical expertise.

Remez algorithm for free knot splines:

Uniform polynomial approximation for multivariate functions

Honours

Available to supervise honours students.

Fields of Research

  • Optimisation - 010303
  • Operations Research - 010206
  • Approximation Theory And Asymptotic Methods - 010201

Teaching areas

Mathematical modelling

Awards

  • 2016, National, Cheryl Praeger Travel award, AustMS
  • 2010, Other, Transportation Industry Skills Innovation award, IBM

Publications

Also published as: Sukhorukova, Nadezda; Sukhorukova, N.; Soukhorokova, N.; Soukhoroukova, N.; Soukhoroukova, N. S.; Soukhoroukova, N. V.; Soukhoroukova, Nadejda ; Soukhoroukova, Nadejda S.; Soukhoroukova, Nadejda; Soukhoroukova, Nadezda; Soukhoroukova, Nadezda S.; Sukhorukova, N. S.; Sukhorukova, Nadejda; Sukhorukova, Nadejda S.; Sukhorukova, Nadezda S.
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Recent research grants awarded

  • 2018: Solving hard Chebyshev approximation problems through nonsmooth analysis *; ARC Discovery Projects Scheme

* Chief Investigator


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