An Optimization Approach for Well-Targeted Transcranial Direct Current Stimulation

DOI10.1137/15M1026481zbMath1350.92028arXiv1506.07744OpenAlexW1734843432MaRDI QIDQ2832991

Sven Wagner, Martin Burger, Carsten H Wolters

Publication date: 16 November 2016

Published in: SIAM Journal on Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1506.07744

zbMATH Keywords

optimizationexistenceNeumann boundary controltranscranial direct current stimulationgradient state constraintsparsity optimal control

Mathematics Subject Classification ID

Numerical methods involving duality (49M29) Applications of optimal control and differential games (49N90) Medical applications (general) (92C50)

Cites Work

• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• A priori error estimates for optimal control problems with pointwise constraints on the gradient of the state
• Elliptic partial differential equations of second order
• Directional Sparsity in Optimal Control of Partial Differential Equations
• Barrier Methods for Optimal Control Problems with Convex Nonlinear Gradient State Constraints
• Optimal Control of Elliptic Equations with Pointwise Constraints on the Gradient of the State in Nonsmooth Polygonal Domains
• A Survey of the Maximum Principles for Optimal Control Problems with State Constraints

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