The phrase "a very complex function" is correct and usable in written English.
It can be used when describing a function in mathematics, programming, or any context where complexity is relevant.
Example: "The algorithm relies on a very complex function to process the data efficiently."
Alternatives: "an extremely intricate function" or "a highly complicated function".
People that are good at finding productivity, efficiencies; industrial engineers, public administration type people.... It's a very complex function, but we've compounded its problems by letting it become so political.
Manipulating the joint PDF of the eigenvalues which is a very complex function is not practical, particularly for large matrices.
However, it is rare that a very complex function is needed to compute the value of a scalar argument (e.g., the cut-off frequency for a high-pass filter).
Thus, PubMed users should know search tags to understand and/or modify ATM-enhanced queries to meet their information needs (the ATM is a very complex function so refer to [ 14] for details).
The runway of neutrons is large and has very complex function of energy and conditions.
From the definition of the fractional function (gamma _{i}(mathbf {x}_{i}^{(ell)},mathbf {y}_{i})) in (12), it is clear that the objective in (14) is a very complex nonconcave function with many fractional and cross terms in the source power variables (mathbf {x}triangleq left (mathbf {x}^{(1)},mathbf {x}^{(2)}right)) and the relay variable y.
It therefore seems that with a very complex cost function with many local minima like the one used in this study, our statistical approach is more useful than the simplex optimisation for constraining the model parameters.
Deep learning methods are representation learning methods with multiple levels of representation, obtained by composing simply but nonlinear modules that each transforms the representation at one level (starting with the raw input) into a higher representation slightly more abstract level, with the composition of enough such transformations, and very complex functions can be learned [1, 2].
It is more flexible and much as machine learning methods can fit very complex functions [ 33].
Also, based on the fact that the average generalization ability computed over the whole set of Boolean functions is 0.5, a very complex set of functions was found for which the generalization ability is lower than for random functions.
Dendritic spines are specialized membrane protrusions located on neuronal dendrites; they have a very complex structure and fundamental functions in the synaptic physiology and plasticity (Nimchinsky et al., 2002).
