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Then, we compared this performance to typical source-level optimizations that a user or a compiler might perform, to see how close such optimizations can approach optimized performance.
It can be seen that by applying such optimizations the energy consumption was optimized in 225%.
Such optimizations are possible because of the integration between the SAX parser and the XML deserialization.
The Cinder operating system is an example how such optimizations can be done.
Such optimizations are of particular interest for trapping experiments [27, 28, 30, 33] and low-energy scattering [39, 40] applications.
For multiple-antenna receivers, however, a linear technique called block diagonalization has been proposed showing good performance when such optimizations as in [8] are considered.
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Such optimization problems are called stochastic optimal control problems.
Such optimization problems are highly nonlinear nonconvex, and thus, optimal solutions are unknown.
For such optimization problems, minimization means in general obtaining weak Pareto optimal solutions in the following sense.
The main idea to solve such optimization problems is to convexificate the function which needs to be optimized.
Mr. Godley did not see how such optimization is conceivable.
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