Mathematics
Regularization
100%
Numerical Example
51%
Matrix
49%
Total Variation
35%
Covariance Matrix
33%
Iterative Method
30%
Stopping Rule
28%
Posed Problem
26%
Signal Processing
22%
Numerical Experiment
22%
Uncertainty Quantification
22%
Test Problem
21%
Scale Problem
21%
Noisy Data
19%
Gaussian Distribution
19%
Edge
18%
Total Least Squares
16%
Pseudoinverse
16%
Bayesian
15%
Log-Log-Plot
14%
Singular Value Decomposition
14%
reconstruction algorithm
14%
Discretization
13%
Systems of Linear Equation
13%
Factorization
13%
MATLAB
11%
Sparse Matrix
11%
Convergence Analysis
11%
Structured Matrix
11%
Scale Model
11%
Dimensional Subspace
11%
Numerical Solution
11%
Integral Equation
11%
Convex Function
11%
Computational Aspects
11%
Linear Inverse Problems
11%
System Matrix
11%
Convergence Behavior
11%
Convergence Property
10%
Parametric
8%
Three-Dimension
8%
Nonlinear Problem
8%
Matrix Computation
8%
Mathematical Modeling
8%
Numerical Computation
8%
Least Square
8%
Training Image
7%
Gibbs Sampler
7%
Computational Cost
7%
Positron
7%
Keyphrases
Reconstruction Problem
21%
Subspace Methods
16%
Iterative Regularization
16%
Algebraic Iterative Reconstruction
16%
Krylov Subspace
15%
L-curve
14%
Linear Algebra
14%
Numerical Examples
13%
Semi-convergence
13%
Noise Reduction
11%
Minimal Residual Method
11%
Truncated SVD
11%
Pruning Strategy
11%
L-curve Criterion
11%
Adaptive Pruning
11%
Pre-whitening
11%
Rank-revealing Decomposition
11%
Rank-deficient Problem
11%
Perturbation Bound
11%
New Rank
11%
Rank Revealing
11%
Diagonal Matrix
11%
Matrix Decomposition
11%
Discrete Inverse Problems
11%
Class Prior
11%
Parameter Choice Rule
11%
Tomographic Reconstruction
11%
High-order Discretization
11%
Multilevel Fast multipole Method (MLFMM)
11%
Iterative Reconstruction
11%
Tomography Problem
11%
MATLAB Package
11%
Radon Transform
11%
Generalized Minimal Residual (GMRES)
10%
Linear Inverse Problems
9%
Matrix Laboratory (MATLAB)
8%
Regularization Parameter Selection
8%
Numerical Computation
8%
System Matrix
8%
Parallel Beam
8%
CT Reconstruction
8%
Symmetric Rank
7%
Rank Deficiency
7%
Speech Signal
7%
Narrowband Noise
7%
Triangular Matrices
7%
Rank Reduction
7%
Noisy Data
7%
Singular Values
7%
Regularization Parameter
7%
Engineering
Regularization
45%
Singular Value Decomposition
25%
Fast Multipole Method
22%
Scale Problem
17%
Total Variation
16%
Sparsity
16%
Discretization
16%
Covariance Matrix
15%
Posed Problem
15%
Image Reconstruction
15%
Speech Signal
14%
Inverse Boundary
14%
Tomographic Reconstruction
11%
Least Square
11%
Stopping Rule
11%
Uncertainty Quantification
11%
Real Data
11%
Limitations
11%
Regularization Method
11%
Iterative Algorithm
11%
Sound Source
11%
Illustrates
10%
Regularization Parameter
10%
Accurate Solution
8%
Gaussians
8%
Joints (Structural Components)
8%
Early Work
8%
Compressed Sensing
8%
Acoustic Field
7%
Stopping Criterion
7%
Numerical Methods
7%
Reconstruction Problem
7%
Boundary Element Method
6%
Numerical Optimization
5%
Optimisation Problem
5%
Partial Differential Equation
5%
Eigenvalue
5%
Ray Diffraction
5%
Speech Processing
5%
Boundary Condition
5%
Basis Vector
5%
Multistatic Radars
5%
Antenna
5%
Defects
5%
Spatial Resolution
5%
Interior Point
5%
Oil Pipeline
5%
Point Algorithm
5%
Experimental Result
5%
Matlab Code
5%
