function

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function

noun appropriate activity, assignment, business, chore, design, duty, employment, exploitation, mission, munus, occupation, office, officium, purpose, pursuit, responsibility, role, task, usage, use, utility, work
Associated concepts: discretionary function, executive funccion, government function, judicial function, legislative function, political function, quasi-judicial function

function

verb achieve, act, act effectively, answer a purpose, avail, be effective, be in operation, be useful, carry on, carry out, effectuate, execute, have effect, operate, perform, render a service, run, serve, work
See also: activity, agency, appointment, assignment, business, calling, capacity, charge, demean, duty, employment, execute, job, obligation, occupation, operate, operation, part, perform, position, post, province, purpose, pursuit, responsibility, role, specialty, sphere, task, trade, use, utility, work
References in periodicals archive ?
Although indexing individual tuples is an alternative using a DHT, this will in general be too fine-grained and having too high maintenance cost.
In step 4), like the solution table used in ACO, the schema of the solution table S is (T, A, V, M), where T is a tuple ID, A is the target attribute name, V is the target attribute value of the tuple and M is the O-measure of A for the tuple.
t] factor is an extremely weak upper bound as most t-tuples for any specific column tuple will be covered by the horizontal growth stage and thus no searching throughout the rows is performed.
In the experiments, the size of the relational schema is set to 8 relations with 10 to 25 attributes each and tuples ranging from 10,000 to 20,000.
2] are formulas and t a tuple variable, then each of the following is a formula:
Algorithm 2: Outlier Detection for RFID data streams Step 1: Calculate the current sliding window WDE threshold of a sampled RFID data streams tuple from algorithm 1, and derive parameters [epsilon] and [eta];
Working interactively, good user interface design dictates that some meaningful data is presented from each tuple whose primary key appears as a foreign key, so that the user can have visual confirmation that the application has got it right.
For the algorithm in [17], however, the time that a tuple is waiting for execution is not bounded.
In this paper, we extend this technique by defining a second-order slope tuple and by describing how the automatic computation of such tuples can be carried out.
The cost includes three parts, the training expense of each tuple in the machine learning, the storage cost and operation cost, and the modification cost during the error classification.
In this STDM, timestamps are used at both tuple (record) and attribute levels.
Rick Rickman and John Stonham [14] define the color tuple histogram.