In subject area: Computer Science Runtime complexity refers to the computational time required by an algorithm to process each new observed timestep, with a complexity similar to the forward probability extensio
Phong, and so on). Therefore, each function's coefficients can be computed once (in a preprocess step) and be reused by all convolutions. This optimization reduces the runtime complexity of the example convolution to just
The vehicle scheduling problem (VSP) is one of the most important scheduling problems in public transportation systems1, such as flight departure and arrival2, airport ground service support3, and school bus route planning4. Meanwhile, vehicle transportation for the ore company plays a very importan...
Kathpalia and Nagaraj recently introduced a causality measure, called Compression-Complexity Causality (CCC), which employs ‘complexity’ estimated using lossless data-compression algorithms for the purpose of causality estimation. It has been shown to have the strength to work well in case of missin...
of high inference time complexity. By using gradient-boosted regression trees as a predictor of the labels obtained from nearest neighbor analysis, we demonstrate a significant increase in inference speed, improving by several orders of magnitude. We validate the effectiveness of our approach on a ...
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...
The natural complexity of the string y (with respect to the machine M) is ▼M (y) = min{n≥ 1 | M (bin(n)) = y } (see Calude and Stay (2006)); ▼ is a relative of Kolmogorov complexity for partially computable functions used in Manin and Zilber (2010). The invariance ...
To manage data selection effectively and attain robust prediction, characterizing complexity and self-similarity is critical in financial decision-making. Our study aims to obtain analyzes based on two main approaches proposed related to seven recognized indexes belonging to prominent countries (DJI, FCHI...
Formally, this property corresponds to obtaining lower time complexity for models without numerical instabilities and errors as illustrated in Table 1 (left). For example, Table 1 (left) shows that the complexity of a pth-order numerical ODE solver is \({{{\mathcal{O}}}(Kp)\), where K ...
With the continual development of the global economy, the air transportation demand has significantly increased across various industries, leading to a surge in flight traffic and airspace complexity. To optimize flight scheduling and improve operational efficiency, the traffic prediction is extensively stu...