Mathematics
Regularization
100%
Numerical Example
46%
Matrix
45%
Total Variation
32%
Covariance Matrix
30%
Iterative Method
27%
Stopping Rule
25%
Posed Problem
23%
Scale Problem
20%
Signal Processing
20%
Numerical Experiment
20%
Uncertainty Quantification
20%
Test Problem
19%
Noisy Data
19%
Gaussian Distribution
17%
Edge
16%
Total Least Squares
15%
Pseudoinverse
15%
Systems of Linear Equation
14%
Bayesian
13%
Log-Log-Plot
12%
Singular Value Decomposition
12%
reconstruction algorithm
12%
Discretization
12%
Factorization
11%
Linear Inverse Problems
11%
MATLAB
10%
Sparse Matrix
10%
Convergence Analysis
10%
Structured Matrix
10%
Scale Model
10%
Dimensional Subspace
10%
Numerical Solution
10%
Integral Equation
10%
Convex Function
10%
Computational Aspects
10%
System Matrix
10%
Convergence Behavior
10%
Convergence Property
9%
Parametric
7%
Three-Dimension
7%
Nonlinear Problem
7%
Matrix Computation
7%
Mathematical Modeling
7%
Numerical Computation
7%
Least Square
7%
Linear System
7%
Training Image
6%
Gibbs Sampler
6%
Computational Cost
6%
Keyphrases
Reconstruction Problem
19%
L-curve
17%
Subspace Methods
15%
Iterative Regularization
15%
Algebraic Iterative Reconstruction
15%
Krylov Subspace
13%
Linear Algebra
12%
Numerical Examples
11%
Semi-convergence
11%
Lanczos Bidiagonalization
11%
Noise Reduction
10%
Minimal Residual Method
10%
Truncated SVD
10%
Pruning Strategy
10%
L-curve Criterion
10%
Adaptive Pruning
10%
Pre-whitening
10%
Rank-revealing Decomposition
10%
Rank-deficient Problem
10%
Perturbation Bound
10%
New Rank
10%
Rank Revealing
10%
Diagonal Matrix
10%
Matrix Decomposition
10%
Discrete Inverse Problems
10%
Class Prior
10%
Parameter Choice Rule
10%
Tomographic Reconstruction
10%
High-order Discretization
10%
Multilevel Fast multipole Method (MLFMM)
10%
Iterative Reconstruction
10%
Tomography Problem
10%
MATLAB Package
10%
Radon Transform
10%
Phase Space Tomography
10%
Wave-particle Interaction
10%
Heavy Ions
10%
Regularization Parameter
9%
Generalized Minimal Residual (GMRES)
9%
Ion Cyclotron Range of Frequency
8%
Linear Inverse Problems
8%
Matrix Laboratory (MATLAB)
7%
Regularization Parameter Selection
7%
Numerical Computation
7%
System Matrix
7%
Parallel Beam
7%
CT Reconstruction
7%
Tikhonov Regularization
7%
Symmetric Rank
6%
Rank Deficiency
6%
Engineering
Regularization
40%
Singular Value Decomposition
27%
Fast Multipole Method
20%
Scale Problem
15%
Total Variation
15%
Sparsity
15%
Uncertainty Quantification
15%
Discretization
14%
Covariance Matrix
13%
Posed Problem
13%
Image Reconstruction
13%
Speech Signal
12%
Inverse Boundary
12%
Tomographic Reconstruction
10%
Least Square
10%
Stopping Rule
10%
Real Data
10%
Limitations
10%
Regularization Method
10%
Iterative Algorithm
10%
Sound Source
10%
Gaussians
10%
Illustrates
9%
Regularization Parameter
9%
Field Data
8%
Accurate Solution
7%
Joints (Structural Components)
7%
Early Work
7%
Compressed Sensing
7%
Acoustic Field
6%
Stopping Criterion
6%
Numerical Methods
6%
Reconstruction Problem
6%
Boundary Element Method
5%
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%
