Integer and combinatorial optimization
Integer and combinatorial optimization
On an instance of the inverse shortest paths problem
Mathematical Programming: Series A and B
Primal-relaxed dual global optimization approach
Journal of Optimization Theory and Applications
On the use of an inverse shortest paths algorithm for recovering linearly correlated costs
Mathematical Programming: Series A and B
Calculating some inverse linear programming problems
Journal of Computational and Applied Mathematics
A further study on inverse linear programming problems
Journal of Computational and Applied Mathematics
Semidefinite Programming Relaxation for NonconvexQuadratic Programs
Journal of Global Optimization
Operations Research
Convex Optimization
The inverse optimal value problem
Mathematical Programming: Series A and B
Inverse Problem Theory and Methods for Model Parameter Estimation
Inverse Problem Theory and Methods for Model Parameter Estimation
Optimization Methods & Software - GLOBAL OPTIMIZATION
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Compact thermal models (CTMs) are used to evaluate thermal characteristics of critical electronic chip packages under several hypothetical design and usage scenarios. In order to ensure that CTMs accurately estimate thermal response, an appropriate set of model parameters must first be selected. The challenge arising in this paper is to glean a set of parameters that best describes the performance of CTM over a set of test conditions. We examine a non-convex optimisation formulation for this parameter estimation problem, and derive the first exact optimisation algorithm for the problem using a continuous version of the reformulation-linearisation technique. We provide experimental results on real data to demonstrate the applicability of our approach.