The phrase "algorithmic effort" is correct and usable in written English.
It can be used when discussing the amount of work or resources required to implement or execute an algorithm.
Example: "The algorithmic effort required to process the data efficiently was significantly higher than anticipated."
Alternatives: "computational effort" or "algorithmic workload".
Most of the solutions concentrate the algorithmic effort on QoS route computation and relax the constraint of optimizing flooding, which has, however, a great impact on resource consumption.
Mallaby even squeezes some juice from Renaissance Technologies, the hugely successful number-crunching fund run by secretive and geeky mathematicians on Long Island: when they use their computers to devise a dinner-party seating plan, their algorithmic effort to divine human chemistry places one investor next to a woman who had sued him for sexual harassment.
The first possibility is that the false positive rate is so high it would draw unwanted scrutiny to the company's algorithmic moderation efforts and force it to reveal more information about its filtering efforts.
Eva Tardos: Algorithms, algorithmic game theory.
Bloomberg Businessweek reporter Arianne Cohen profiles graduate student Joy Buolamwini, who founded the algorithmic Justice League in an effort to make people more aware of the biases embedded in AI systems.
Even if they are not completely anonymous, the reviews on those other sites are typically by people you don't know, Mr. Lanman said As my colleague David Streitfeld reported last year, there are a number of ways that Web recommendation services can be gamed, though Web companies are starting to employ various algorithmic tricks in an effort to curb the problem.
In DCMS, we invested much efforts into algorithmic design related to such queries.
It combines data-analysis efforts and algorithmic recommendations with human-curated selection to pare down the wealth of things to do in any given city to effectively a top 15percentthatat should actually be relevant and high quality.
Molecular dynamics simulations are computationally demanding and often of necessity unacceptably short; insufficient conformational sampling is therefore a common problem that future algorithmic and hardware-engineering efforts must address.
PADE is a fully adaptive algorithm and saves user efforts to set algorithmic parameters.
New York City has launched an effort to make algorithmic decision-making more accountable using the existing regulatory framework.
