According to reference [20], the difference between FFT and Discrete Fourier Transform (DFT) lies in their time complexity, with FFT having an iterative time complexity of Nlog₂(N) times. In Equation (15), N represents the number of samples in the sequence. To achieve visualization, the ...
• α: scaling function of the part of the program that does not benefit from parallelization with respect to the complexity of the problem size. • β: scaling function of the part of the program that benefits from parallelization with respect to the complexity of the problem size. ...
A typical assumption in the computational complexity of evolutionary algorithms is that the process of evaluating the fitness function supplies the greatest contribution to the runtime, but that this cost is uniform over all search points. However, in many real world applications the cost of evaluati...
Since the complexity of the underground environment, there is electromagnetic interference, high temperature, high humidity, mechanical vibration, and other unfavorable conditions, resulting in the physical precursor information of coal-rock interfered. It is difficult to capture all the characteristics of ...
We then solve the scalar wave equation with immersed boundaries on two- and three-dimensional examples with significant geometric complexity to show that our approach is more efficient than state-of-the-art time integration schemes when comparing accuracy and runtime. While we focus on the finite ...
Travel time estimation (TTE) is a critical function in intelligent driving systems. Current research and applications related to TTE primarily focus on urban environments. The objective of this study is to develop TTE methods that are applicable to wilde
Decision-makers must often balance the desire to accumulate information with the costs of protracted deliberation. Optimal, reward-maximizing decision-making can require dynamic adjustment of this speed/accuracy trade-off over the course of a single decision. However, it is unclear whether humans are...
On the topic of evolution in economics, Brian Arthur, who coined the termed ‘complexity economics’, has written [21]: … because complexity economics looks at how structures form or solutions come to be ‘selected’, it connects robustly with the dynamics of evolutionary economics. Evolutionary...
There are many other ways to combine evidence for different outcomes, along with additional evidence such as dose-response relationships, however these increase complexity. Ethical and practical issues limit high-risk trials Trials with high-risk patients may be restricted due to ethics for treatments...
Each pixel will need to be added and removed to 2r+1 histograms over the course of processing the whole image, which causes the O(r) complexity. Intuitively, we can guess that we will need to accumulate each pixel at most a constant number of times to obtain O(1) complexity. As we ...