Book description Complexity of Seismic Time Series: Measurement and Application applies the tools of nonlinear dynamics to seismic analysis, allowing for the revelation of new details in micro-seis ... read full description Purchase book Share this bookBrowse...
. The book certainly fulfils its claim to be suitable as a textbook for courses at both the undergraduate and graduate levels, as tutors can pick and choose from an abundanceof material at different levels of complexity." (Pieter Bastiaan Ober, Journal of Applied Statistics, Vol. 35 (2), ...
This example shows that Forman–Ricci curvature analysis method is able to detect phase transitions due to changes in core community structure. This method does not need to perform a direct community detection method at each time instant which can lead to very high computation complexity....
I have been enrolled in a data science program, and one of my instructors recommended using this book for our time series module. It is very well structured and provides a comprehensive overview of the topic. What I appreciate most is how it gradually increases in complexity. The basics are...
Time series analysis has proven to be a powerful method to characterize several phenomena in biology, neuroscience and economics, and to understand some of their underlying dynamical features. Several methods have been proposed for the analysis of multiv
The paper presents analysis of GF(2m) two-step modular multiplication algorithms. It considers classical (standard, school-book) multiplication, matrix-vector approach algorithm and Karatsuba-Ofman algorithm, exploring thoroughly their advantages and disadvantages....
21-10-05 Pyraformer ICLR 2022 Pyraformer: Low-complexity Pyramidal Attention for Long-range Time Series Modeling and Forecasting Pyraformer 22-01-14 Preformer ICASSP 2023 Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting Preformer 22-...
But how do you deal with tasks whose complexity is hidden? In other words, it contains far more sub-tasks than you imagined. When you come upon them, a 4-hour task can take 20 hours! Is there anything you can do? Tune into this episode to hear from me and my special guest, Trevor...
Adjacency lists are typically used instead in many network analysis libraries such as SNAP (Leskovec and Sosič 2016). Adjacency lists can be further improved in average time complexity of most operations (at the cost of a constant factor increase in memory) by using hash tables rather than ...
npj Complexity (2024) AI-empowered next-generation multiscale climate modelling for mitigation and adaptation Veronika Eyring Pierre Gentine Markus Reichstein Nature Geoscience (2024) Decomposing causality into its synergistic, unique, and redundant components Álvaro Martínez-Sánchez Gonzalo Arranz Ad...