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They can be solved efficiently by advanced optimization solvers, such as the IBM ILOG CPLEX Optimizer, making them suitable for robust online application.
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We demonstrate advanced optimization strategies for a D3Q19 lattice Boltzmann based incompressible flow solver for GPGPUs and CPUs.
Convex optimization problems can usually be solved quickly and accurately with convex optimization solvers [23].
These solutions can be used to focus (or initialize) the LGO-specific global and local optimization solvers.
This problem can be solved by existing optimization solvers after the discretization of the infinite constraints.
The problems are then solved by optimization solvers to obtain numerical solutions.
optimization solvers.
Consequently, this also means that we cannot use off-the-shelf optimization solvers.
The most promising techniques based on kriging or radial basis functions have been incorporated to global optimization solvers [ 21- 23].
We use standard constrained nonlinear optimization solvers (e.g., active-set and interior point) available in the MATLAB Optimization Toolbox [ 4].
Fourth, we want to evaluate the impact of regularization on the convergence properties of the global optimization solvers.
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