algorithmic error

algorithmic error

[¦al·gə¦rith·mik ′er·ər]
(computer science)
An error in computer processing resulting from imprecision in the method used to carry out mathematical computations, usually associated with either rounding or truncation of numbers.
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In short, we are attempting to find the conceptual representation of the genesis of algorithmic error, starting from the idea that communicational mediation is its possible point of origin.
At the educational level, then, algorithmic error can be predicted by this incorrect interpretation of the procedure; <<in this case, the teacher has to identify the intuitive tendencies of the student and try to explain their resources>> (Fischbein, 1999, 24).
In this paper we have approached the description of cognitive processes and educational actions that involve the generation of algorithmic error during the teaching-learning process.
Our aim in this paper is to approach the cognitive processes and educational actions involved in the generation of algorithmic errors during the teaching-learning process.
CodeTEST, for example, measures over 128,000 real-time function executions at once; pinpoints and calculates the impact of things like algorithmic errors, call-pair distribution and Interrupt Service Routines; conducts point-to-point measurements of the highest possible fidelity; assesses how much CPU functions/tasks consume; and produces user-friendly reports so you can easily identify and analyze issues straight away in your software.
Insure++ identifies compile-time, run time and algorithmic errors, including memory corruption, operations on uninitialized, NULL, or "wild" pointers, memory leaks, errors which allocate and free dynamic memory, operations on unrelated pointers and more.
5,581,696) to find a wide variety of memory and algorithmic errors in C++ programs.
Only Insure++ uses state-of-the-art "Mutation Testing" technology to pinpoint the widest array of bugs, including memory and algorithmic errors, then provides all the information necessary to repair the bugs immediately.
As a result, more bugs, including Language Specific and Algorithmic errors, can be found by running Insure++ in SCI mode than with any other tool on the market.
5,581,696), Insure++ automatically identifies a large class of compile-time, runtime and algorithmic errors.
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