The simplest explanation is, becauseThetadenotesthe same asthe expression. Hence, asf(n)grows by a factor ofn2, the time complexity can be best represented asTheta(n2). Now that we have learned the Time Complexity of Algorithms, you should also learn aboutSpace Complexity of Algorithmsand its...
Iterative algorithm for Time Evolving Nonnegative Matrix Factorisation (TENMF).Shota, SaitoYoshito, HirataKazutoshi, SasaharaHideyuki, Suzuki
The discrete-time algebraic Riccati equation is solved in this study by an iterative algorithm for the square root of a squared Hamiltonian matrix, which is obtained from the S + −1 transformation of the symplectic pencil associated with the Riccati equation. The symplectic Givens and n× n ...
But due to the complexity of FCE various researchers solve FCE using different numerical methods, for instance, Liu et al.18 used implicit numerical method having second-order spatial accuracy for one dimensional (1-D) FCE. Similarly, Chen et al.19 solved 1-D variable-order FCE using the ...
The performance and computational complexity of this receiver are also considered. To further reduce the computational complexity, we apply a frequency domain adaptation technique into the adaptive iterative receivers. The system performance and complexity are investigated. It shows that the computational ...
The above touches upon the striking complexity of functional brain activation during a task (Simony et al., 2016; Bolton et al., 2018b; Gonzalez-Castillo and Bandettini, 2018): in this, although standard PPI analysis already provides valuable insight into brain function at the cross-condition ...
Time-invariant and switch-type hybrid iterative decoding of low-density parity-check codes Hybrid decoding is to combine different iterative decoding algorithms with the aim of improving error performance or decoding complexity. This, e.g., can b... P Zarrinkhat,AH Banihashemi,X Hua - 《...
An iterative transmit power allocation (PA) algorithm was proposed for group-wise space-time block coding (G-STBC) systems with group-wise successive interference cancellation (GSIC) receivers. Group-wise interference suppression (GIS) filters are employed to separate each group's transmit signals ...
(1998) are of high relevance in technical applications, especially with regard to the low complexity and the potential to process large amounts of data. This new type of artificial, biologically inspired networks is characterized, especially with respect to their structural differences, by their ...
But one may also use VFF to reduce the gate complexity of eigenvalue estimation algorithms, such as quantum phase estimation46 or time series analyses47,48. Such algorithms require simulating a Hamiltonian up to time \(T={\mathcal{O}}\left(\frac{1}{\sigma }\right)\) to obtain eigen...