Sentence examples for model formulations are from inspiring English sources
Two different model formulations are developed to describe the mixing, induction, and subsequent ignition and combustion.
The model formulations are scrutinized and numerical tests are carried out to examine their actual performances under various loading conditions.
This paper presents an efficient solution method for these problems named successive relaxed MINLP (SR-MINLP), where the model formulations are reformulated to contain only continuous variables.
These estimations of the model size clearly show that conventional discrete time-based model formulations are at best useful in applications with low-speed production technology, aggregate demand for a limited number of products, and a small number of big-bucket periods.
Model solutions may help planners understand how alternative model formulations are associated with spatial variation in active versus passive land uses, values of important output measures such as residential satisfaction, and the special role that vacant land plays in regional development policies that can be classified as smart growth or smart decline.
In order to assess critically which ecosystem structures and model formulations are best able to simulate observed biogeochemical cycling, three fundamentally different ecosystem models of varying complexity are applied within a consistent one-dimensional (1-D) framework at 15.5°N, 61.5°E in the Arabian Sea.
The model formulations were representative for oral solutions (co-solvents), parenteral solutions (buffer species) and solid dosage forms (organic acids applicable for solubility enhancement).
Model formulations were selected to avoid gel formation and allow for ease of protein recovery.
Assessment of predictive ability given more complex model formulations is discussed later.
By iteratively replacing different variables in combination with one another a set of alternative model formulations were created.
The advantage of our method over topic model formulations is the convexity of our objective f, which guarantees fast convergence to the global maxima.
