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Global optimality conditions in maximizing a convex quadratic function under convex quadratic constraints were presented in [19].
Resource allocation for spectrum underlay in CDMA networks under QoS and interference constraints were presented in [17].
These constraints were presented in the forms of upper and lower bounds for the fluxes (vj,min ≤ vj ≤ vj,max) for each reaction j, and used together with an objective function Z, usually the growth rate [ 14, 36].
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Strategies for overcoming these constraints are presented.
Simulated spectroscopic features and manufacturing constraints are presented and discussed.
At first, the background theory for curved pipes conveying fluid with motion constraints is presented.
A novel approach to robust controller design with hard input constraints is presented.
For each objective function an enhanced model that incorporates specific tightening constraints is presented.
A novel approach to robust controller design with input hard constraints is presented.
Recommendations for nozzle designs within IFE constraints are presented based on the numerical simulations.
To illustrate this, a quadruped robot learning a turning gait subject to safety and kinematic constraints is presented.
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