Keyphrases
Conjugate Gradient
8%
Conjugate Gradient Method
26%
Convergence Results
20%
Convex Combination
9%
Convex Quadratic Function
8%
Convex Quadratic Optimization
10%
Convex Quadratic Problem
9%
CPU Time
9%
Curvilinear Search
10%
Feasible Method
10%
Fixed Point Method
17%
Global Convergence
30%
Gradient Method
65%
Gradient Norm
7%
Gradient Projection
13%
Hessian
7%
Implicit Information
6%
Large-scale Problems
9%
Line Search
17%
Linear Combination
11%
Linear Search Algorithm
6%
Merit Function
11%
Minimal Gradient
13%
Non-monotone
17%
Nonmonotone Line Search
8%
Numerical Comparison
13%
Numerical Experiments
40%
Numerical Results
19%
Numerical Solution
8%
Optimal Step Size
9%
Optimization Problem
26%
Optimization with Orthogonality Constraints
13%
Orthogonal Procrustes Problem
10%
Orthogonality Constraint
20%
Projection Method
10%
Projection Operator
17%
Quadratic Minimization Problem
27%
Rayleigh Quotient
6%
Residual Norm
9%
Riemannian Manifold
10%
Scaled Gradient Projection Method
13%
Search Direction
20%
Sequence of Points
6%
Steepest Descent Method
13%
Stiefel Manifold
34%
Strictly Convex
34%
Strongly Convex Optimization
13%
SVD Decomposition
10%
Unique Solution
10%
Weighted Gradient Method
24%
INIS
algorithms
100%
applications
8%
comparative evaluations
21%
cones
6%
constraints
24%
convergence
80%
cost
14%
decomposition
8%
distance
6%
efficiency
26%
eigenvalues
9%
equations
8%
euclidean space
6%
factorization
15%
globalization
9%
hybrids
6%
information
15%
iterative methods
12%
matrices
18%
minimization
56%
nonlinear problems
11%
norm
21%
numerical analysis
10%
numerical solution
7%
optimization
75%
performance
14%
prediction
6%
programming
6%
projection operators
12%
proposals
23%
roots
6%
scaling
8%
simulation
6%
size
42%
solutions
9%
speed
6%
vector fields
6%
Mathematics
Circumcentre
6%
Computational Cost
5%
Conjugate Gradient Method
39%
Constrained Optimization
6%
Convergence Behavior
5%
Convergence Result
20%
Convex Combination
13%
Convex Minimization
6%
Cost Function
6%
Eigenvalue
5%
Euclidean Distance
6%
Factorization
9%
Fixed Points
13%
Iteration Step
6%
Linear Combination
8%
Linear Convergence
8%
Matrix (Mathematics)
9%
Minimization Problem
15%
Minimizes
6%
Nonlinear Equation
6%
Nonlinear Problem
6%
Numerical Analysis
15%
Numerical Experiment
41%
Numerical Solution
8%
Objective Function
16%
Optimality
5%
Orthogonality
23%
Positive Semidefinite
6%
Projection Method
27%
Projection Operator
12%
QR Factorization
5%
Quadratic Function
17%
Quadratic Programming
6%
Residuals
12%
Riemannian Manifolds
13%
Scale Problem
8%
Search Algorithm
6%
Search Direction
30%
Square Root of a Matrix
6%
Stationary Point
6%
Steepest Descent Algorithm
6%
Step Size
40%
Stiefel Manifold
41%
Strictly Convex
41%
Test Point
6%
Test Problem
8%
Type Condition
6%
Type Method
19%
unique solution φ
6%
Weighted Sum
10%
