Titlebook: Optimization with Multivalued Mappings; Theory, Applications Stephan Dempe,Vyacheslav Kalashnikov Book 2006 Springer-Verlag US 2006 Bilevel

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書目名稱Optimization with Multivalued Mappings影響因子(影響力)




書目名稱Optimization with Multivalued Mappings影響因子(影響力)學(xué)科排名




書目名稱Optimization with Multivalued Mappings網(wǎng)絡(luò)公開(kāi)度




書目名稱Optimization with Multivalued Mappings網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Optimization with Multivalued Mappings被引頻次




書目名稱Optimization with Multivalued Mappings被引頻次學(xué)科排名




書目名稱Optimization with Multivalued Mappings年度引用




書目名稱Optimization with Multivalued Mappings年度引用學(xué)科排名




書目名稱Optimization with Multivalued Mappings讀者反饋




書目名稱Optimization with Multivalued Mappings讀者反饋學(xué)科排名

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Coma704

Stephan Dempe,Vyatcheslav V. Kalashnikov,Nataliya Kalashnykovaact that the tangent stiffness of these structural models may be nonsymmetric. Classical and polar models of continua are investigated and a critical analysis of the commonly adopted strain measures is performed. It is emphasized that the kinematic space of a polar continuum is a non-linear differen

Apoptosis

Mohamed Didi-Biha,Patrice Marcotte,Gilles Savardact that the tangent stiffness of these structural models may be nonsymmetric. Classical and polar models of continua are investigated and a critical analysis of the commonly adopted strain measures is performed. It is emphasized that the kinematic space of a polar continuum is a non-linear differen

Outspoken

Optimality conditions for bilevel programming problems set of the bilevel programming problem to derive such conditions for the optimistic bilevel problem. More precise conditions are obtained if the tangent cone possesses an explicit description as it is possible in the case of linear lower level problems. If the optimal solution of the lower level pr

gnarled

Optimality criteria for bilevel programming problems using the radial subdifferentialy convex objective function. Using both the optimistic and the pessimistic approach this problem is reduced to the minimization of auxiliary nondifferentiable and generally discontinuous functions. To develop necessary and sufficient optimality conditions for the bilevel problem the radial-direction

英寸

LURE

A direct proof for M-stationarity under MPEC-GCQ for mathematical programs with equilibrium constraisual Karush-Kuhn-Tucker conditions cannot be viewed as first order optimality conditions unless relatively strong assumptions are satisfied. This observation has lead to a number of weaker first order conditions, with M-stationarity being the strongest among these weaker conditions. Here we show tha

Headstrong

On the use of bilevel programming for solving a structural optimization problem with discrete variabtransformed into a Mathematical Program with Equilibrium (or Complementarity) Constraints (MPEC) by exploiting the Karush-Kuhn-Tucker conditions of the follower’s problem..A complementarity active-set algorithm for finding a stationary point of the corresponding MPEC and a sequential complementarity

為敵

On the control of an evolutionary equilibrium in micromagneticswe construct an evolutionary infinite-dimensional model which is discretized both in the space as well as in time variables. The evolutionary nature of this equilibrium is due to the hysteresis behavior of the respective magnetization process. To solve the problem numerically, we adapted the implici