Non-smooth analysis and optimization
 
 
Description:  In this talk, we show that for a large class of optimization problems, the Lagrange multiplier rule can be derived from the so-called approximate multiplier rule and we prescribed an approximate gradient multiplier rule in handling non-smooth problems. Also in this talk we will cover some of available tools in handling non-smooth optimization.
Date:  2011-10-20
Start Time:   11:30
Speaker:  Suvendu Ranjan Pattanaik (DMUC)
Institution:  DMUC
Research Groups: -Numerical Analysis and Optimization
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