Search results
Results From The WOW.Com Content Network
Robustness is the property of being strong and healthy in constitution. When it is transposed into a system , it refers to the ability of tolerating perturbations that might affect the system's functional body.
In computer science, robustness is the ability of a computer system to cope with errors during execution [1] [2] and cope with erroneous input. [2] Robustness can encompass many areas of computer science, such as robust programming , robust machine learning , and Robust Security Network .
The study of robustness in complex networks is important for many fields. In ecology, robustness is an important attribute of ecosystems, and can give insight into the reaction to disturbances such as the extinction of species. [1] For biologists, network robustness can help the study of diseases and mutations, and how to recover from some ...
Some experts prefer the term resistant statistics for distributional robustness, and reserve 'robustness' for non-distributional robustness, e.g., robustness to violation of assumptions about the probability model or estimator, but this is a minority usage. Plain 'robustness' to mean 'distributional robustness' is common.
In computing, the robustness principle is a design guideline for software that states: "be conservative in what you do, be liberal in what you accept from others". It ...
Robust methods aim to achieve robust performance and/or stability in the presence of bounded modelling errors. The early methods of Bode and others were fairly robust; the state-space methods invented in the 1960s and 1970s were sometimes found to lack robustness, [1] prompting research to improve them. This was the start of the theory of ...
Robustness testing is any quality assurance methodology focused on testing the robustness of software. Robustness testing has also been used to describe the process ...
Robustness is the property of being strong and healthy in constitution. Robustness may also refer to: Robustness (computer science) , the ability of a computer system to cope with errors during execution