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Initial approximations based on approximate methods are refined using much higher levels of theory.
This approach is based on approximate transformation of chance constraints into deterministic ones.
Both are based on approximate graph subsumption.
In [142], a dynamic bit allocation algorithm based on approximate dynamic programming has been presented.
For this case we propose an approximate policy, based on approximate dynamic programming [18, 19].
The three eruption levels (minor, moderate, and major) are based on approximate magnitudes of eruption.
The proposed method is a direct method based on approximate functions with the Bernstein Multiscaling polynomials.
This analysis leads to a unified framework for developing solution schemes based on approximate block factorizations.
The existing methods are based on approximate analytical models applied in an unrealistically simplified geometry.
The low order artificial diffusion is based on approximate Riemann solvers for hyperbolic conservation laws.
A-ENS was the first algorithm developed recently based on approximate non-dominated sorting for many-objective optimization [31].
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