for ( map<string,Object*>::iterartor amapitr = amap.begin(); amapitr != amap.end(); amapitr++) erase(amapitr); or amap.clear(); Which code yields the best performance interms of time complexity?? And also which one is secure to clear the dynamically allocated entries of map(here ...
Accurate flight trajectory prediction is a crucial and challenging task in air traffic control, especially for maneuver operations. Modern data-driven methods are typically formulated as a time series forecasting task and fail to retain high accuracy. Me
The time complexity of this method is comparable to if not superior to most community detection methods when applied directly to each network snapshot just to find the phase transitions. The time complexity of computing the Forman-RC network entropy for one network snapshot is \({\mathscr {O}...
It not only overcomes the computational complexity, training inefficiency, and difficulty of the practical application of RNN but also avoids the problem of locally optimal solutions. ESN mimics the structure of recursively connected neuron circuits in the brain and consists of an input layer, an ...
Despite the outlined advantages of fog monitoring and MPSoCs, existing research still lacks a model-based development process to design, deploy and evaluate the predictability of fog monitoring of real-time control over MPSoCs. Considering that model-based development allows dealing with complexity, ve...
Complexity vs. control The runtime API eases device code management by providing implicit initialization, context management, and module management. This leads to simpler code, but it also lacks the level of control that the driver API has. In comparison, the driver API offers more fine-grained...
You can ask either the CPU or the GPU (using a vertex program) to find it for you. Once you find the vertices of the polygon of intersection, you can then texture-map that polygon. This approach is faster than the other approach from the fragment program's point of view, ...
1. Assign complexity ratings to each item in your completed inventory and determine each program or application's resulting overall complexity rating. 2. Determine the conversion priority of each program or application. Determining conversion priority After you have determined the complexity rating for ...
Real-time parameter tuning is supported. This significantly reduces the complexity and costs of manual parameter tuning and avoids more than 95% of manual parameter tuning. The single-core throughput is improved by 10% to 40%. This helps you handle traffic peaks and valleys with ease. ...
Using the AUC score (area under the ROC curve) as a measure of performance, we find that the classifier outperforms variance and lag-1 autocorrelation for each theoretical model. When evaluated for each combination of noise amplitude and rate of forcing separately, the classifier has the highest...