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Fortunately, a team of scientists from the University of Nagoya are on a quest to mechanically mimic the "effect of mother's embrace and rocking motion" to develop a "relaxation machine" for reducing stress.
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This problem is formulated into a compact integer program (IP), and we develop a Lagrangian relaxation algorithm to solve it.
It's probably best not to develop a new relaxation regimen at this point; do what has worked for you in the past.
We also develop a local relaxation scheme that dynamically corrects local stretching/compression errors thereby preventing their accumulation.
We develop a Lagrangian relaxation based solution approach with an embedded finite-element method subroutine, to separate and solve the location decisions as well as the traffic equilibrium.
We develop a Lagrangian relaxation-based (LR) heuristic solution algorithm and demonstrate its computational efficiency for solving large-scale problems.
In order to deal with the complexity of the scheduling model, we develop a Lagrangian relaxation-based decomposition approach equipped with a variable fixing procedure and a primal heuristics to obtain high-quality solution of instances of the problem.
To this end, we develop a convex conic relaxation of the UC problem, referred to as a strengthened semidefinite program (SDP) relaxation.
By investigating the singularity behavior in detail, we develop a new qp-relaxation method that is suitable for the ECP method.
In an other paper, we developed a Lagrangean relaxation algorithm which gives good results on many instances.
In our previous work (2013) [19], we developed a disk relaxation based mesh deformation method for two-dimensional mesh deformation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com