This book is devoted to vector or multiple criteria approaches
in optimization. Topics covered include: vector optimization,
vector variational inequalities, vector variational principles,
vector minmax inequalities and vector equilibrium problems. In
particular, problems with variable ordering relations and
set-valued mappings are treated. The nonlinear scalarization method
is extensively used throughout the book to deal with various
vector-related problems. The results presented are original and
should be interesting to researchers and graduates in applied
mathematics and operations research. Readers will benefit from new
methods and ideas for handling multiple criteria decision
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