Sentence examples for intensive optimization from inspiring English sources
The phrase "intensive optimization" is correct and usable in written English
It can be used in contexts related to improving processes, systems, or algorithms to achieve maximum efficiency or performance. Example: "The team focused on intensive optimization of the software to enhance its speed and reduce resource consumption."
Overall, this literature generally implies metamodelling yields enhanced solution efficiency and (almost always) effectiveness of computationally intensive optimization problems.
To obtain high quality results in laser fusion cutting, generally, a time and cost intensive optimization process has to be run.
Since the design space for such structures is fairly high dimensional, tuning the frequency of the first-cut design can be a fairly intensive optimization computation.
The faster MARS-based statistical model is used as a surrogate for higher-fidelity physical models within the intensive optimization process.
The tertiary structure of triose phosphate isomerase of P. falciparum 3D7 was determined by means of homology modeling through multiple alignment followed by intensive optimization and Validation.
A robust numerical assessment within different computational budget availability scenarios is conducted over four test functions commonly used in optimization as well as two real-world computationally intensive optimization problems in environmental and water resources systems.
For example, in a Chorus experiment it is possible to use a test molecule made through an unoptomized process that would not be adequate for larger-scale trials and commercialization, but waiting until Chorus delivers a POC before starting the time- and resource-intensive optimization could delay launch and hinder commercial success.
This new protocol was simple and fast because it did not require labor-intensive optimizations in restriction enzyme digestion and ligation, did not involve special plasmid design, and enabled constructing a large-size mutant library for directed enzyme evolution within 1 day.
Current state-of-the-art in computational design lacks precision, and therefore requires intensive experimental optimization to achieve parity with natural binders.
A nonmonotone friction law is assumed to describe the stick-slip process which leads to the formulation of a computational intensive nonconvex nonsmooth optimization problem.
An important advantage of OD is they are often less computationally intensive, and optimization is not bound to a priori defined designs such as for CTS.
