"functional errors" is a correct and usable phrase in written English
It is typically used to refer to mistakes or issues that affect the functioning or performance of something. This phrase is commonly used in fields such as technology, engineering, and business. For example, "The software program had several functional errors that caused it to crash frequently." Another example could be, "The company's new product had too many functional errors, leading to numerous customer complaints."
Not that overcomplication is the only cause of bad design — sadly there are countless other contenders, from environmental irresponsibility to functional errors — but it is among the most common factors, and not just for the old-fashioned reasons that forced the mayor in "Boss" to wash his bed sheets by hand.
Functional errors in analog portion of mixed signal circuits become more severe and improvements in verification methods are increasingly important.
Tolerance envelopes are useful in many design tasks such as quantifying functional errors, identifying unexpected part collisions, and determining device assemblability.
Afterward, each circuit hardened has been evaluated by SEU Simulation, and the multi-objective optimization technology is introduced to optimize the area overhead and the number of functional errors of all the circuits.
An adjoint formulation is used to relate the estimated functional error to the local residual errors of both the primal and adjoint solutions.
This is achieved by observing variation in a functional of the solution as the level of dissipation is varied, and it is deduced for certain test-cases that the dissipation alone accounts for the majority of the functional error.
At the time of peak snowpack accumulation in 2002, differences between modeled and measured SWE at the pixel scale were apportioned into three potential components: field sampling error (∼22%), parameter mapping error (∼27%), and actual model functional error (∼51%).
Since the present study controlled for sampling and mapping error, clear priorities could be identified for reducing model functional error, including improvement of sub-models for snow interception, and snowpack thermal dynamics.
In this paper, we develop an adjoint-based h-adaptation approach based on the high-order correction procedure via reconstruction formulation (CPR) to minimize the output or functional error.
It may be hypothesized that the Nc-increase is at costs of dopaminergic activity after an error; on a functional level errors may not always be detected and correct responses sometimes be misinterpreted as errors.
Presently, conventional simulation is the principal tool used to detect functional design errors at an early stage of the design process.
