Results 41 to 50 of about 182,395 (164)

A Rank-Two Feasible Direction Algorithm for the Binary Quadratic Programming

Journal of Applied Mathematics, 2013
Based on the semidefinite programming relaxation of the binary quadratic programming, a rank-two feasible direction algorithm is presented. The proposed algorithm restricts the rank of matrix variable to be two in the semidefinite programming relaxation ...
Xuewen Mu, Yaling Zhang
doaj   +1 more source

Hybrid Feature Selection Approach Based on GRASP for Cancer Microarray Data

Journal of Computing and Information Technology, 2017
Microarray data usually contain a large number of genes, but a small number of samples. Feature subset selection for microarray data aims at reducing the number of genes so that useful information can be extracted from the samples. Reducing the dimension
Arpita Nagpal, Deepti Gaur
doaj   +1 more source

A Randomized Algorithm for Optimal PID Controllers

Algorithms, 2018
A randomized algorithm is suggested for the syntheses of optimal PID controllers for MIMO coupled systems, where the optimality is with respect to the H ∞ -norm, the H 2 -norm and the LQR functional, with possible system-performance ...
Yossi Peretz
doaj   +1 more source

Randomized block coordinate DC algorithm

EURO Journal on Computational Optimization
We introduce an extension of the Difference of Convex Algorithm (DCA) in the form of a randomized block coordinate approach for problems with separable structure.
Hoomaan Maskan, Paniz Halvachi, Suvrit Sra, Alp Yurtsever   +3 more
doaj   +1 more source

Approximate Uncertain Program

IEEE Access, 2019
Chance constrained program where one seeks to minimize an objective over decisions which satisfy randomly disturbed constraints with a given probability is computationally intractable.
Xun Shen, Jiancang Zhuang, Xingguo Zhang
doaj   +1 more source

A Kernel Least Mean Square Algorithm Based on Randomized Feature Networks

Applied Sciences, 2018
To construct an online kernel adaptive filter in a non-stationary environment, we propose a randomized feature networks-based kernel least mean square (KLMS-RFN) algorithm.
Yuqi Liu, Chao Sun, Shouda Jiang
doaj   +1 more source

Investigating quantum approximate optimization algorithms under bang-bang protocols

Physical Review Research, 2020
The quantum approximate optimization algorithm (QAOA) is widely seen as a possible usage of noisy intermediate-scale quantum (NISQ) devices. We analyze the algorithm as a bang-bang protocol with fixed total time and a randomized greedy optimization ...
Daniel Liang, Li Li (李力), Stefan Leichenauer   +2 more
doaj   +1 more source

Artificial intelligence in the service of entrepreneurial finance: knowledge structure and the foundational algorithmic paradigm

Financial Innovation
The study conducts a bibliometric review of artificial intelligence applications in two areas: the entrepreneurial finance literature, and the corporate finance literature with implications for entrepreneurship. A rigorous search and screening of the web
Robert Kudelić, Tamara Šmaguc, Sherry Robinson   +2 more
doaj   +1 more source

A Randomized Method for Simulating Lindblad Equations and Thermal State Preparation [PDF]

Quantum
We study a qDRIFT-type randomized method to simulate Lindblad dynamics by decomposing its generator into an ensemble of Lindbladians, $\mathcal{L} = \sum_{a \in \mathcal{A}} \mathcal{L}_a$, where each $\mathcal{L}_a$ comprises a simple Hamiltonian and a ...
Hongrui Chen, Bowen Li, Jianfeng Lu, Lexing Ying   +3 more
doaj   +1 more source

Randomized Kaczmarz algorithm for CT reconstruction

Journal of Measurement Science and Instrumentation, 2013
The order of the projection in the algebraic reconstruction technique（ART）method has great influence on the rate of the convergence.Although many scholars have studied the order of the projection,few theoretical proofs are given.Thomas Strohmer and Roman
ZHAO Ke, PAN Jin-xiao, KONG Hui-hua
doaj