Ergebnisse für: Conic Optimization
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Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point metho...
This book introduces methods of robust optimization in multivariate
adaptive regression splines (MARS) and Conic MARS in order to handle
uncertainty and non-linearity. The proposed techniques are implemented and
explained in two-model regulatory systems that can be found in the financial
sector and ...
This book investigates adaptive physical-layer beamforming and resource allocation that ensure reliable data transmission in the multi-antenna broadcast channel. The book provides an overview of robust optimization techniques and modelling approximations to deal with stochastic performance metrics. ...
This book collects chapters dealing with some of the theoretical aspects needed to properly discuss the dynamics of complex engineering systems. The book illustrates advanced theoretical development and new techniques designed to better solve problems within the nonlinear dynamical systems. Topics c...
Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point metho...
Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point metho...
This book introduces methods of robust optimization in multivariate
adaptive regression splines (MARS) and Conic MARS in order to handle
uncertainty and non-linearity. The proposed techniques are implemented and
explained in two-model regulatory systems that can be found in the financial
sector and ...
This book introduces methods of robust optimization in multivariate
adaptive regression splines (MARS) and Conic MARS in order to handle
uncertainty and non-linearity. The proposed techniques are implemented and
explained in two-model regulatory systems that can be found in the financial
sector and ...
This book investigates adaptive physical-layer beamforming and resource allocation that ensure reliable data transmission in the multi-antenna broadcast channel. The book provides an overview of robust optimization techniques and modelling approximations to deal with stochastic performance metrics. ...
This book collects chapters dealing with some of the theoretical aspects needed to properly discuss the dynamics of complex engineering systems. The book illustrates advanced theoretical development and new techniques designed to better solve problems within the nonlinear dynamical systems. Topics c...
This book investigates adaptive physical-layer beamforming and resource allocation that ensure reliable data transmission in the multi-antenna broadcast channel. The book provides an overview of robust optimization techniques and modelling approximations to deal with stochastic performance metrics. ...
This book collects chapters dealing with some of the theoretical aspects needed to properly discuss the dynamics of complex engineering systems. The book illustrates advanced theoretical development and new techniques designed to better solve problems within the nonlinear dynamical systems. Topics c...