Results 31 to 40 of about 195,183 (314)
Topological Value Iteration Algorithms
J. Artif. Intell. Res., 2011 Value iteration is a powerful yet inefficient algorithm for Markov decision processes (MDPs) because it puts the majority of its effort into backing up the entire state space, which turns out to be unnecessary in many cases. In order to overcome this problem, many approaches have been proposed.
Peng Dai 0001 +3 more
openaire +4 more sources
Fast iterative solvers for PDE-constrained optimization problems [PDF]
, 2013 In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arising from PDE-constrained optimization problems. In order to do this, we exploit saddle point theory, as this is the form of the matrix systems we wish to ...
Pearson, John W
core +2 more sources
Approximate Message Passing Algorithm for Nonconvex Regularization
IEEE Access, 2019 In this paper, we study the sparse signal reconstruction with nonconvex regularization, mainly focusing on two popular nonconvex regularization methods, minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD).
Hui Zhang +4 more
doaj +1 more source
IEEE Access, 2020 For massive multiple-input multiple-output (MIMO) systems, linear precoding is preferable to nonlinear precoding for better performance-complexity trade-off.
Qian Deng +5 more
doaj +1 more source
Two-Stage Code Acquisition Employing Search Space Reduction and Iterative Detection in the DS-UWB Downlink [PDF]
, 2008 —In this paper we propose and investigate an iterative code acquisition scheme assisted by both search space reduction and iterative Massage Passing (MP), which was designed for the Direct Sequence-Ultra WideBand (DS-UWB) DownLink (DL).
Seunghwan Won +3 more
core +1 more source
Model-Driven Enhanced Analytic Learned Iterative Shrinkage Threshold Algorithm
IEEE Access, 2022 The application of deep learning in compressed sensing reconstruction has achieved some excellent results. The deep neural network based on iterative algorithm can not only reflect the excellent performance of deep learning, but also reflect the ...
Jun Li +4 more
doaj +1 more source
A fast Bayesian reconstruction algorithm for emission tomography with entropy prior converging to feasible images [PDF]
, 1990 The development and tests of an iterative reconstruction algorithm for emission tomography based on Bayesian statistical concepts are described. The algorithm uses the entropy of the generated image as a prior distribution, can be accelerated by the ...
Núñez de Murga, Jorge, 1955- +1 more
core +1 more source
State determination: An iterative algorithm [PDF]
Physical Review A, 2008 An iterative algorithm for state determination is presented that uses as physical input the probability distributions for the eigenvalues of two or more observables in an unknown state $Φ$. Starting form an arbitrary state $Ψ_{0}$, a succession of states $Ψ_{n}$ is obtained that converges to $Φ$ or to a Pauli partner.
Goyeneche, Dardo M. +1 more
openaire +2 more sources
Finite Element Analysis for the Stationary Navier–Stokes Equations with Mixed Boundary Conditions
MathematicsThis paper studies the stationary incompressible Navier-Stokes equations with mixed boundary conditions using a velocity-pressure finite element formulation.
Ya Cui, Qingfang Liu, Jia Liu
doaj +1 more source
Iterative Parameter Estimation Algorithms for Dual-Frequency Signal Models
Algorithms, 2017 This paper focuses on the iterative parameter estimation algorithms for dual-frequency signal models that are disturbed by stochastic noise. The key of the work is to overcome the difficulty that the signal model is a highly nonlinear function with ...
Siyu Liu, Ling Xu, Feng Ding
doaj +1 more source