An accelerated minimal gradient method with momentum for strictly convex quadratic optimization

Keyphrases

• Strictly Convex 100%
• Gradient Method 100%
• Convex Quadratic Optimization 100%
• Minimal Gradient 100%
• Numerical Results 33%
• Convergence Rate 33%
• Number of Iterations 33%
• Linear Combination 33%
• Line Search 33%
• Iterative Methods 33%
• Search Direction 33%
• Convex Quadratic Problem 33%
• CPU Time 33%
• Conjugate Gradient Method 33%
• Residual Norm 33%
• Accelerated Gradient Method 33%
• Search Scheme 33%
• Linear Convergence 33%
• Convex Quadratic Function 33%
• Three-term 33%

INIS

• convergence 100%
• optimization 100%
• algorithms 50%
• iterative methods 50%
• norm 50%
• efficiency 50%

Mathematics

• Strictly Convex 100%
• Iterative Method 33%
• Residuals 33%
• Convergence Rate 33%
• Linear Combination 33%
• Linear Convergence 33%
• Search Direction 33%
• Conjugate Gradient Method 33%
• Quadratic Function 33%