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Nondifferentiable Optimization and Polynomial Problems (Hardcover, 1998 ed.)
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Nondifferentiable Optimization and Polynomial Problems (Hardcover, 1998 ed.)
Series: Nonconvex Optimization and Its Applications, 24
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Total price: R4,359
Discovery Miles: 43 590
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Polynomial extremal problems (PEP) constitute one of the most
important subclasses of nonlinear programming models. Their
distinctive feature is that an objective function and constraints
can be expressed by polynomial functions in one or several
variables. Let: e = {: e 1, ...: en} be the vector in n-dimensional
real linear space Rn; n PO(: e), PI (: e), ..., Pm (: e) are
polynomial functions in R with real coefficients. In general, a PEP
can be formulated in the following form: (0.1) find r = inf Po(: e)
subject to constraints (0.2) Pi (: e) =0, i=l, ..., m (a constraint
in the form of inequality can be written in the form of equality by
introducing a new variable: for example, P( x) 0 is equivalent to
P(: e) + y2 = 0). Boolean and mixed polynomial problems can be
written in usual form by adding for each boolean variable z the
equality: Z2 - Z = O. Let a = {al, ..., a } be integer vector with
nonnegative entries {a;}f=l. n Denote by R a](: e) monomial in n
variables of the form: n R a](: e) = IT: ef';;=1 d(a) = 2:7=1 ai is
the total degree of monomial R a]. Each polynomial in n variables
can be written as sum of monomials with nonzero coefficients: P(:
e) = L caR a](: e), aEA{P) IX x Nondifferentiable optimization and
polynomial problems where A(P) is the set of monomials contained in
polynomial P
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