Fast solution methods for convex quadratic optimization of fractional differential equations

Keyphrases

• Fast Solution 100%
• Fractional Differential Equations 100%
• Convex Quadratic Optimization 100%
• Alternating Direction multiplier Method 75%
• Optimization Problem 50%
• Box Constraints 50%
• Discretized 25%
• Partial Differential Equations 25%
• Numerical Methods 25%
• Fast Fourier Transform 25%
• Krylov Subspace Solver 25%
• Computational Complexity 25%
• Grid Size 25%
• Control Variables 25%
• Constrained Optimization Problem 25%
• State Control 25%
• Linear Algebra 25%
• Circulant Preconditioner 25%
• Dense Linear System 25%
• Toeplitz Structure 25%
• Krylov Solvers 25%
• Generalized Locally Toeplitz Sequences 25%
• Storage Requirement 25%
• Time-space Domain 25%
• Convex Quadratic Program 25%
• Krylov Subspace Methods 25%
• Constraints on the State 25%

Engineering

• Solution Method 100%
• Alternating Direction Method of Multipliers 100%
• Generality 66%
• Optimisation Problem 66%
• Subproblem 66%
• Recursive 33%
• Numerical Methods 33%
• Fast Fourier Transform 33%
• Linear Algebra 33%
• Computational Complexity 33%
• Time Domain 33%
• Constrained Optimization Problem 33%
• Constraint Equation 33%
• Circulant 33%
• Storage Requirement 33%
• Subspace Method 33%
• Partial Differential Equation 33%

Mathematics

• Fractional Differential Equations 100%
• Alternating Direction Method of Multipliers 75%
• Generality 50%
• Subproblem 50%
• Linear System 25%
• Partial Differential Equation 25%
• Matrix (Mathematics) 25%
• Fast Fourier Transform 25%
• Linear Algebra 25%
• Quadratic Programming 25%
• Constrained Optimization Problem 25%
• Grid Size 25%
• Time Domain 25%
• Mathematical Method 25%