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Nonlinear Contraction Tools for Constrained Optimization
Nonlinear dynamics nonlinear control constrained optimization Lagrange parameters sliding control
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2012/6/30
This paper describes new results linking constrained optimization theory and nonlinear contraction analysis. Generalizations of Lagrange parameters are derived based on projecting system dynamics on t...
Teleporting squeezing: Optimization using non-Gaussian resources
Teleporting squeezing non-Gaussian resources
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2010/10/21
We study the continuous-variable quantum teleportation of states, statistical moments of observables, and scale parameters such as squeezing. We investigate the problem both in ideal and imperfect Vai...
A general algorithm for manipulating non-linear and linear entanglement witnesses by using exact convex optimization
manipulating non-linear linear entanglement witnesses exact convex optimization
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2010/4/9
A generic algorithm is developed to reduce the problem of obtaining linear and nonlinear entanglement witnesses of a given quantum system, to convex optimization problem. This approach is completely g...
Dynamics of Transiently Chaotic Neural Network and
Its Application to Optimization
neural network
transient chaotic dynamics chaotic annealing
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2007/8/15
2001Vol.35No.1pp.22-27DOI:
Dynamics of Transiently Chaotic Neural Network and
Its Application to Optimization
YANG Li-Jiang, CHEN Tian-Lun and HUANG Wu-Qun
Department of...
Nonlinear Time Series Prediction Using LS-SVM with
Chaotic Mutation Evolutionary Programming for Parameter Optimization
nonlinear time series prediction least squares support
vector machine chaotic mutation evolutionary programming
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2007/8/15
2006Vol.45No.4pp.641-646DOI:
Nonlinear Time Series Prediction Using LS-SVM with
Chaotic Mutation Evolutionary Programming for Parameter Optimization
XU Rui-Rui, CHEN Tian-Lun, an...
A New Chaotic Parameters Disturbance Annealing Neural Network
for Solving Global Optimization Problems
Hopfield neural network global optimization chaotic
parameters disturbance simulated annealing
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2007/8/15
2003Vol.39No.4pp.385-392DOI:
A New Chaotic Parameters Disturbance Annealing Neural Network
for Solving Global Optimization Problems
MA Wei and WANG Zheng-Ou
Institute of...
Optimization of Output Properties for Bias Signal-Modulated in a
Single-Mode Laser
bias signal modulation correlation noise optimization
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2007/8/15
2005Vol.44No.2pp.288-292DOI:
Optimization of Output Properties for Bias Signal-Modulated in a
Single-Mode Laser
LI Tai-Quan, DONG Ping, YANG Hong-Quan, and HAN Li-Bo
Sc...
Some Key Issues on the Optimization of Multiple Quantum Well Structures for Amplitude Modulation
Multiple Quantum Well Structures Amplitude Modulation
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2010/10/22
Main parameters of InGaAs/InAlAs multiple quantum well amplitude modulators, such as contrast ratio, insertion loss and chirp parameter, were calculated in order to find a quantum well structure which...
Preparation and Optimization of High Quality TiN Films
TiN Magnetron Sputtering Ion Bombardment Optical transmission Antireflection coating
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2010/4/12
TiN thin films have been deposited by DC reactive magnetron sputtering method on glass substrates. The effects of the substrate temperature and the substrate bias voltage on the structural, optical an...