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Mathematics
Polynomial
100%
Sum of Squares
58%
Convex
38%
Vector Field
26%
Dynamical System
23%
Joint Spectral Radius
19%
Matrix (Mathematics)
16%
Sufficient Condition
16%
Square Optimization
15%
Discrete Time
15%
Linear System
14%
Polynomial Time
14%
Asymptotic Stability
11%
Upper Bound
10%
Linear Programming
10%
Globally asymptotically stable
9%
Square Polynomial
8%
Positive Definite
7%
Approximates
7%
Polynomial Optimization
6%
Linear Program
6%
Stability Criteria
6%
Finiteness Property
6%
Local Minimum
5%
Initial Condition
5%
Positive Semidefinite Matrix
5%
Feasible Set
5%
Finite Set
5%
Quadratic Function
5%
Keyphrases
Semidefinite Programming
40%
Sum of Squares
25%
Lyapunov Function
22%
Polynomial Lyapunov Function
14%
Dynamical Systems
11%
Joint Spectral Radius
10%
Switched Systems
10%
Convex Polynomial
9%
Polynomial Vector Fields
9%
Convexity
9%
Lyapunov Analysis
9%
Sum-of-squares Optimization
9%
Learning Dynamical Systems
8%
All-optical Clock Recovery
8%
Homogeneous Vector Fields
8%
Polynomial Optimization
8%
Linear Programming
7%
Switched Linear Systems
7%
Explicit Examples
6%
Collision Avoidance
6%
Algebraic Optimization
6%
Algebraic Techniques
6%
Non-convexity
6%
Metatheorems
6%
Non-monotonic Lyapunov Function
6%
Hessian
6%
Second-order Cone Programming
5%
Lyapunov Inequality
5%
Local Minima
5%
Polarization-independent
5%
Homogeneous Polynomials
5%
Globally Asymptotically Stable
5%
Stable Polynomial
5%
Discrete-time Switched Systems
5%
Inner Approximation
5%
Sum-of-squares Polynomials
5%
Newton Method
5%
Computer Science
Semidefinite Programming
18%
Dynamical System
17%
Lyapunov Function
17%
Research Effort
12%
discrete-time
11%
lyapunov theory
9%
Sum-of-Squares Programming
9%
Controller Synthesis
8%
Side Information
8%
Performance Guarantee
8%
Fundamental Problem
8%
Speed-up
8%
Sufficient Condition
5%
System Analysis
5%
