2016
DOI: 10.1007/s00245-016-9361-5
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An Iterated Projection Approach to Variational Problems Under Generalized Convexity Constraints

Abstract: The principal-agent problem in economics leads to variational problems subject to global constraints of b-convexity on the admissible functions, capturing the so-called incentive-compatibility constraints. Typical examples are minimization problems subject to a convexity constraint. In a recent pathbreaking article, Figalli, Kim and McCann [19] identified conditions which ensure convexity of the principal-agent problem and thus raised hope on the development of numerical methods. We consider special instances… Show more

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Cited by 4 publications
(3 citation statements)
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“…In some specific cases (linearquadratic setting and specific agents distribution), analytic solutions can be found in one [5] or many dimensions [6], via reformulation as welfare maximization using virtual valuation technique. Extending the framework of Rochet and Choné to decomposable variational problem under convexity requirement, Carlier [7] addresses the question of the existence and uniqueness of a solution, and proposes an iterative algorithm. In the specific case R 2 , Mirebeau [8] introduces a more efficient method using an adaptive mesh based on stencils.…”
Section: B the Optimal Nonlinear Pricing Problemmentioning
confidence: 99%
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“…In some specific cases (linearquadratic setting and specific agents distribution), analytic solutions can be found in one [5] or many dimensions [6], via reformulation as welfare maximization using virtual valuation technique. Extending the framework of Rochet and Choné to decomposable variational problem under convexity requirement, Carlier [7] addresses the question of the existence and uniqueness of a solution, and proposes an iterative algorithm. In the specific case R 2 , Mirebeau [8] introduces a more efficient method using an adaptive mesh based on stencils.…”
Section: B the Optimal Nonlinear Pricing Problemmentioning
confidence: 99%
“…To apply this algorithm to the optimal design of a menu in the electricity retail market, we generalize the framework of [7] to allow for a nondecomposable (still convex) cost. Indeed, the revenue of the provider depends on the furniture cost, supposed to be an increasing function of the global consumption, see e.g.…”
Section: Contributionsmentioning
confidence: 99%
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