Mathematics
Unconstrained Optimization
100%
Conjugate Gradient Method
93%
Descent
61%
Quasi-Newton Method
56%
Chord or secant line
52%
Global Convergence
44%
Second-order Cone
28%
Objective function
26%
Sufficient
26%
Complementarity Problem
25%
Large-scale Optimization
23%
Gradient Method
23%
Scaling
22%
Nonsmooth Equations
21%
Optimization Problem
21%
Smoothing Newton Method
19%
Spectrality
19%
Proximal Methods
19%
Numerical Results
18%
Unconstrained Minimization
18%
Line Search
18%
Family
17%
Term
15%
Convergence Properties
15%
Nonlinear Least Squares Problem
13%
Composite function
12%
Smoothing Methods
11%
Active Set Method
10%
Superlinear Convergence
10%
Proximal Mapping
9%
Quasi-Newton
9%
Numerical Methods
8%
Convex Programming
8%
Constrained Optimization
8%
Control Parameter
8%
Quadratic Programming
7%
Sun
7%
Large-scale Problems
7%
Smoothing Function
6%
Minimization Problem
6%
Smoothing
6%
Convex function
6%
Numerical Experiment
6%
Search Strategy
5%
Newton-like Method
5%
Active Set Strategy
5%
Optimization
5%
Newton-type Methods
5%
Accelerate
5%
Engineering & Materials Science
Conjugate gradient method
94%
Newton-Raphson method
68%
Cones
21%
Gradient methods
17%
Numerical methods
9%
Quadratic programming
8%
Constrained optimization
7%
Convex optimization
7%
Experiments
7%
Supply chains
7%
Composite materials
5%
Business & Economics
Gradient
37%
Scaling
20%
Global Convergence
12%
Objective Function
12%
Experiments in Economics
10%
Business Game
10%
Network Equilibrium
9%
Complementarity
8%
Smoothing
7%
Supply Chain Network
7%
Large-scale Optimization
6%
Optimization Problem
6%
Manufacturing Industries
5%
