The phrase "and computational values of" is correct and usable in written English.
It can be used in contexts where you are discussing numerical data or metrics related to computational processes or algorithms.
Example: "The study focuses on the efficiency and computational values of various algorithms used in data analysis."
Alternatives: "and numerical metrics of" or "and algorithmic values of".
Table 5 ▸ lists a number of experimental and computational values for the N H (or N D) bond length of the ammonium ion in the gas phase, in clusters and in crystals (for which we report only single-crystal neutron diffraction data).
An accurate quantization and fixed-point representation of all parameters and computational values involved in both algorithms have been determined.
A careful numerical study has been conducted to determine the accurate quantization and fixed-point representation of all parameters and computational values involved in the algorithm.
CML provides elements to hold many different types of mathematical, scientific and computational values, e.g., scalar, vector, matrix, array, etc., which we will refer to as "data containers".
These novel miRNA precursors had negative folding free energies (20.8-210 kcal mol-1 with an average of about -68.8 kcal mol-1) according to Mfold3.2 (Additional file 4) [ 44]; this was similar to the computational values of Arabidopsis thaliana miRNA precursors (-57 kcal mol-1) and much lower than folding free energies of tRNA (-27.5 kcal mol-1) or rRNA (-33 kcal mol-1) [ 42].
Contig sequences varied between 536 and 840 nucleotides long, and had negative folding free energies of -206.8 to -160.8 kcal mol-1 (Table 8) according to MFOLD [ 55], which are in the range of the computational values of Arabidopsis miRNA precursors [ 52].
In both the SLLM and the SRM numerical simulations, a finite computational value of η ∞ = 30 was chosen in the η direction.
According to the computation results of energy band, the computational value of energy gap (2.161 eV) is consistent with other computational results, though it is smaller than its experimental value (3.23 eV) (Fig. 4).
The model demonstrates the computational value of neural oscillations for parsing sensory stimuli based on their temporal properties and offers new perspectives for syllable-based automatic speech recognition (Wu et al., 1997) and brain-machine interfaces using oscillation-based neuromorphic algorithms.
Experimental and computational Φ-value analysis of two-state helical proteins has shown that definite interactions among helix-forming segments build up in the transition state ensemble, but this type of analysis is not applicable to downhill folders.
