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Finding all solutions of nonlinearly constrained systems of equations
Costas D. Maranas
, Christodoulos A. Floudas
Chemical Engineering
Huck Institutes of the Life Sciences
Research output
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Contribution to journal
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Article
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peer-review
180
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Keyphrases
Convex Relaxation
100%
System of Equations
100%
Finding All Solutions
100%
Constrained Systems
100%
Univariate Functions
66%
Multiple Minima
66%
Minimum Problem
33%
Disjoint
33%
Global Optimization Algorithm
33%
Branch-and-bound
33%
Convex Optimization Problem
33%
Relaxation Method
33%
Bounded Functions
33%
All-solution-processed
33%
Initial Problem
33%
Nonlinear Convex Optimization
33%
Successive Refinement
33%
Generalized Geometric Programming
33%
Transformation Approach
33%
Difference of Two Convex Functions
33%
Lower Bounding
33%
Exponential Random Variables
33%
Feasible Solution
33%
Rectangle
33%
Variable Transformation
33%
Feasible Region
33%
Global Optimization Problem
33%
Globally Optimal
33%
Geometric Programming Problem
33%
Underestimator
33%
Objective Value
33%
Finite Convergence
33%
Slack Variables
33%
Mathematics
Equation System
100%
Univariate Function
100%
Test Problem
50%
Convex Function
50%
Programming Problem
50%
Slack Variable
50%
Feasible Region
50%
Feasible Solution
50%
Geometric Programming
50%
Initial Problem
50%