The nonsmooth model can be efficiently solved by a semi-smooth Newton-type method.
The design is described by matrix inequalities, which can be efficiently solved by the linear matrix inequality toolbox in Matlab.
We show that this linear system can be efficiently solved by a least squares direct matrix solver.
Furthermore, the resulting minimization problem from our formulation can be efficiently solved by the split Bregman method [1], [2].
This problem can be efficiently solved by modifying the microstructure, and enable capacitive controlled charge storage mechanism in the battery materials.
Extensive numerical experiments based on realistic Asia Europe Oceania shipping operations show that the proposed model can be efficiently solved by CPLEX for real-case problems.
They can be efficiently solved by Krylov subspace methods, as here the main ingredient is the multiplication with the system matrix and the application of the preconditioner.
The generated QBF problems can be efficiently solved by repeatedly applying SAT solvers, and circuits having more than 100,000 gates can be processed.
The proposed integrated and extended integrated optimization problems are transformed into mixed integer linear programming (MILP) problems, which can be efficiently solved by the CPLEX solver.
This model is formulated into a compact integer linear program and can be efficiently solved by state-of-the-art solvers.
The desired output feedback controller can be obtained by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms.
