Convex Optimization

Quantum state tomography via compressed sensing

Quantum Information / Compressed Sensing / Convex Optimization / Numerical Simulation / Physical sciences / Performance Improvement / Density Matrix / Performance Improvement / Density Matrix

Cell design in bacteria as a convex optimization problem

Engineering / Optimal Control / Systems Biology / Modeling / Convex Optimization / Dynamic programming / Supervisory Control / Synchronization / System Biology / Multi Agent System / Optimization Problem / Controllability / Stochastic Control / Mathematical Sciences / Consensus / Gram Positive / Multi Agent Systems / Detectability / Automatica / Convex Analysis / Nonlinear / State Space / Space Time / Steady state / Sensorimotor synchronisation / Idempotent / Internal Model / Multiplier / Linear System / Actuator / Bacillus subtilis / Global stability / Dimensionality / Semigroup / Growth rate / Tropical / Muilti-region input-output model / Saturation / Differential equation / Duality / Boundary Condition / Discrete Time Systems / Linearity / Initial Condition / Non Linear Control / LINEAR PROGRAM / Pontryagin maximum principle / Curse of Dimensionality / Small Gain Theorem / Dynamic programming / Supervisory Control / Synchronization / System Biology / Multi Agent System / Optimization Problem / Controllability / Stochastic Control / Mathematical Sciences / Consensus / Gram Positive / Multi Agent Systems / Detectability / Automatica / Convex Analysis / Nonlinear / State Space / Space Time / Steady state / Sensorimotor synchronisation / Idempotent / Internal Model / Multiplier / Linear System / Actuator / Bacillus subtilis / Global stability / Dimensionality / Semigroup / Growth rate / Tropical / Muilti-region input-output model / Saturation / Differential equation / Duality / Boundary Condition / Discrete Time Systems / Linearity / Initial Condition / Non Linear Control / LINEAR PROGRAM / Pontryagin maximum principle / Curse of Dimensionality / Small Gain Theorem

Cell design in bacteria as a convex optimization problem

Engineering / Optimal Control / Systems Biology / Modeling / Convex Optimization / Dynamic programming / Supervisory Control / Synchronization / System Biology / Multi Agent System / Optimization Problem / Controllability / Stochastic Control / Mathematical Sciences / Consensus / Gram Positive / Multi Agent Systems / Detectability / Automatica / Convex Analysis / Nonlinear / State Space / Space Time / Steady state / Sensorimotor synchronisation / Idempotent / Internal Model / Multiplier / Linear System / Actuator / Bacillus subtilis / Global stability / Dimensionality / Semigroup / Growth rate / Tropical / Muilti-region input-output model / Saturation / Differential equation / Duality / Boundary Condition / Discrete Time Systems / Linearity / Initial Condition / Non Linear Control / LINEAR PROGRAM / Pontryagin maximum principle / Curse of Dimensionality / Small Gain Theorem / Dynamic programming / Supervisory Control / Synchronization / System Biology / Multi Agent System / Optimization Problem / Controllability / Stochastic Control / Mathematical Sciences / Consensus / Gram Positive / Multi Agent Systems / Detectability / Automatica / Convex Analysis / Nonlinear / State Space / Space Time / Steady state / Sensorimotor synchronisation / Idempotent / Internal Model / Multiplier / Linear System / Actuator / Bacillus subtilis / Global stability / Dimensionality / Semigroup / Growth rate / Tropical / Muilti-region input-output model / Saturation / Differential equation / Duality / Boundary Condition / Discrete Time Systems / Linearity / Initial Condition / Non Linear Control / LINEAR PROGRAM / Pontryagin maximum principle / Curse of Dimensionality / Small Gain Theorem

On-off random access channels: A compressed sensing framework

Compressed Sensing / Convex Optimization / Power Control / Multiuser Detection / Random Access / Orthogonal Matching Pursuit / Signal to Noise Ratio / Random Matrices / Performance Bounds / Degree of Freedom / Iterative Detection / Maximum Likelihood detection / Orthogonal Matching Pursuit / Signal to Noise Ratio / Random Matrices / Performance Bounds / Degree of Freedom / Iterative Detection / Maximum Likelihood detection

On-Off Random Access Channels: A Compressed Sensing Framework

Compressed Sensing / Convex Optimization / Power Control / Multiuser Detection / Random Access / Orthogonal Matching Pursuit / Signal to Noise Ratio / Random Matrices / Performance Bounds / Degree of Freedom / Iterative Detection / Maximum Likelihood detection / Orthogonal Matching Pursuit / Signal to Noise Ratio / Random Matrices / Performance Bounds / Degree of Freedom / Iterative Detection / Maximum Likelihood detection

Cell design in bacteria as a convex optimization problem

Engineering / Systems Biology / Convex Optimization / System Biology / Mathematical Sciences / Gram Positive / Automatica / Steady state / Bacillus subtilis / Growth rate / LINEAR PROGRAM / Gram Positive / Automatica / Steady state / Bacillus subtilis / Growth rate / LINEAR PROGRAM

A kernel-based framework to tensorial data analysis

Multilinear Algebra / Artificial Intelligence / Sign Language / Data Analysis / Support Vector Machines / Convex Optimization / Neural Networks / Multidisciplinary / Finite Element Analysis / Software / Humans / Theoretical Models / Structural Properties / Reproducibility of Results / Nonlinear Model / Reproducing Kernel Hilbert Space / Normal Distribution / Area Under Curve / Feature Space / Convex Optimization / Neural Networks / Multidisciplinary / Finite Element Analysis / Software / Humans / Theoretical Models / Structural Properties / Reproducibility of Results / Nonlinear Model / Reproducing Kernel Hilbert Space / Normal Distribution / Area Under Curve / Feature Space

A kernel-based framework to tensorial data analysis

Multilinear Algebra / Artificial Intelligence / Sign Language / Data Analysis / Support Vector Machines / Convex Optimization / Neural Networks / Multidisciplinary / Finite Element Analysis / Software / Humans / Theoretical Models / Structural Properties / Reproducibility of Results / Nonlinear Model / Reproducing Kernel Hilbert Space / Normal Distribution / Area Under Curve / Feature Space / Convex Optimization / Neural Networks / Multidisciplinary / Finite Element Analysis / Software / Humans / Theoretical Models / Structural Properties / Reproducibility of Results / Nonlinear Model / Reproducing Kernel Hilbert Space / Normal Distribution / Area Under Curve / Feature Space

Quantum State Tomography via Compressed Sensing

Quantum Information / Compressed Sensing / Convex Optimization / Numerical Simulation / Physical sciences / Performance Improvement / Density Matrix / Performance Improvement / Density Matrix

Quantum State Tomography via Compressed Sensing

Quantum Information / Compressed Sensing / Convex Optimization / Numerical Simulation / Physical sciences / Performance Improvement / Density Matrix / Performance Improvement / Density Matrix

Near-optimal depth-constrained codes

Convex Optimization / Probability / Entropy / Codes / Electrical And Electronic Engineering
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