Mathematics
Gradient Method
93%
Cardinality Constraints
73%
Strategy
69%
Unconstrained Optimization
63%
Constrained Minimization
63%
Convex Minimization
59%
Alternating Projections
59%
Least Squares Problem
53%
Iteration
48%
Minimization Problem
48%
Derivative-free Optimization
44%
Optimization Problem
44%
Derivative-free
42%
Cardinality
41%
Convex Optimization
40%
Surface Approximation
40%
Direct Search
38%
Constrained Optimization
37%
Matrix Approximation
35%
Large-scale Optimization
34%
Modeling
34%
Gradient
33%
Subspace
33%
Preconditioning
33%
Simplex Method
33%
Quadratic Function
32%
Augmented Lagrangian
32%
Nonlinear Least Squares
32%
Metaheuristics
32%
Multi-objective Optimization
32%
Strictly Convex
32%
Gradient Algorithm
31%
Formulation
31%
Inverse matrix
30%
Penalty
30%
Algebraic Riccati Equation
30%
Conjugate Gradient
30%
Conjugate Gradient Method
29%
Numerical Results
28%
Variable Selection
27%
Nonlinear Programming
26%
Minimise
26%
Orthogonality
25%
Convex Sets
25%
Optimization
25%
Test Problems
25%
Merit Function
25%
Performance
25%
Preconditioner
25%
Matrix Method
24%
Engineering & Materials Science
Gradient methods
100%
Convex optimization
44%
Derivatives
42%
Surface fitting
37%
Constrained optimization
35%
Conjugate gradient method
33%
Riccati equations
32%
Nonlinear programming
28%
Multiobjective optimization
24%
Linear systems
23%
NP-hard
21%
Financial markets
20%
Cluster analysis
15%
Costs
14%
Combinatorial optimization
14%
Vector spaces
13%
Splines
12%
Experiments
11%
Extrapolation
9%
Set theory
6%
