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- Best approximation schemes for solving maximally monotone inclusion problems
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- Home
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- Our research
-
Student life & resources
Postgraduate research
- Info for new students
- Current research students
- Postgraduate conference
- Postgraduate events
- Postgraduate student awards
- Michael Tallis PhD Research Travel Award
- Information about research theses
- Past research students
- Resources
- Entry requirements
- PhD projects
- Obtaining funding
- Application & fee information
Student services
- Help for postgraduate students
- Thesis guidelines
- School assessment policies
- Computing information
- Mathematics Drop-in Centre
- Consultation
- Statistics Consultation Service
- Academic advice
- Enrolment variation
- Changing tutorials
- Illness or misadventure
- Application form for existing casual tutors
- ARC grants Head of School sign off
- Computing facilities
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Abstract:
Ewa will discuss strongly convergent schemes with applications to convex optimization problems arising in image processing.
Professor at the Polish Academy of Sciences and the Warsaw University of Technology, main interests: variational analysis and optimization, recent research include: error bound property for vector-valued functions, differentiability of cone-convex vector-valued functions, variational principles, dynamical systems related to iterative schemes for solving maximally monotone inclusions.
Speaker
Ewa Malgorzata Bednarczuk
Research Area
Applied Seminar
Affiliation
Systems Research Institute, Polish Academy of Sciences and Warsaw University of Technology, Faculty of Mathematics and Information Sciences
Date
Thu, 22/11/2018 - 10:30am
Venue
RC-2063, The Red Centre, UNSW