The phrase "a computational optimization for" is correct and usable in written English.
It can be used when discussing methods or techniques aimed at improving the efficiency or performance of a computational process or system.
Example: "The research paper presents a computational optimization for enhancing the speed of data processing algorithms."
Alternatives: "an algorithmic enhancement for" or "a performance improvement for".
Temperature-controlled power modulation compensates for heterogeneous nanoparticle distributions: a computational optimization analysis for magnetic hyperthermia.
This approach considers a computational optimization-based procedure for the switching surface design, formulated as an interval goal programming problem, equivalent to the interval Ackermann׳s equation for the robust eigenvalue placement problem.
The proposed method is based on parametric modelling, performance simulation tools and algorithms for computational optimization, for which the paper tackles three specific aspects.
When the possibilities of computational optimization for product variety design under fixed product architecture are explored, optimization is demanded to determine the contents of modules and their combinations under fixed modular architecture.
We present a series of computational optimizations for more efficient estimation of the likelihood function on large-scale phylogenetic problems.
The paper deals with the development and presentation of the use of an advanced computational optimization tool for the conceptual planning of facilities in the field of waste-to-energy.
These features are: computational optimization possibilities for real-time forecast system calibration; data replacement capabilities within retrospective ensemble extreme values analysis; and hard deadline features within uncertainty analysis of an urgent scenario for complex floods.
It is however, an NP-hard computational optimization problem which is implausible for a huge amount of sequences [17].
To this end, a computational design optimization framework for advanced composites has been developed based on a novel Decoupled Discrete Material Optimization.
This paper presents a computational reliable optimization approach for internal cooling channels in Ceramic Matrix Composite (CMC) under thermal and mechanical loadings.
