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A quantum memory for orbital angular momentum photonic qubits
Among the optical degrees of freedom, the orbital angular momentum of light provides unique properties, including mechanical torque action with applications for light... -
On the dynamic of holomorphic diffeomorphisms groups fixing a commune point, ...
In this paper, we study the action on C^n of any group G of holomorphic diffeomorphisms (automorphisms) of C^n fixing 0. Suppose that there is x in C^n, having an... -
Aggregate Instability under Labor Income Taxation and Balanced-Budget Rules: ...
We investigate the role of preferences in the existence of expectation-driven instability under a balanced budget rule where government spendings are financed by a tax... -
Some control design experiments with HIFOO
A new MATLAB package called HIFOO was recently proposed for H-infinity fixed-order controller design. This document illustrates how some standard controller design... -
A Theory of Agricultural Marketing Cooperatives with Direct selling
We build a theoretical model to study a market structure of a marketing cooperative with direct selling, in which many farmers are members of an agricultural marketing... -
Utilitarianism and anti-utilitarianism
This paper presents the different utilitarian approaches to ethics. It stresses the influence of utilitarianism in economics in general and in welfare economics in... -
Multiple criteria sorting with a set of additive value functions
We present a new multiple criteria sorting method that aims at assigning actions eval- uated on multiple criteria to p pre-defined ordered classes. The preference... -
Asymptotic analysis of the role of spatial sampling for covariance parameter ...
Manuscript: 47 pages, supplementary material: 9 pages, accepted for publication in the Journal of multivariate Analysis -
Welfare economics
This paper presents the Paretian Watershed and the fundamental theorems of welfare economics. It distinguishes the British approach (à la Kaldor-Hicks) from the... -
Complexity and Approximation in Reoptimization
In this survey the following model is considered. We assume that an instance I of a computationally hard optimization problem has been solved and that we know the... -
Risk aversion and technology mix in an electricity market
This article analyzes the eff ect of risk and risk aversion on the long-term equilibrium technology mix in an electricity market. It develops a model where fi rms can... -
Efficient approximation of MIN COLORING by moderately exponential algorithms
We present in this note a rather new way to cope with polynomial inapproximability of NP-hard problems. We study approximation of min coloring by moderately... -
Spin-preserving Knuth correspondences for ribbon tableaux
The RSK correspondence generalises the Robinson-Schensted correspondence by replacing permutation matrices by matrices with entries in ${\bf N}$, and standard Young... -
"To Have and Have Not": Migration, Remittances, Poverty and Inequality in Alg...
Papier accepté dans le Scandinavian Journal of Economics -
Fast algorithms for max independent set in graphs of small average degree
MAX INDEPENDENT SET is a paradigmatic problem in theoretical computer science and numerous studies tackle its resolution by exact algorithms with non-trivial... -
Robustesse en aide multicritère à la décision
After bringing precisions to the meaning we give to several of the terms used in this paper (e.g., robustness, result, procedure, method), we highlight the principal... -
Shadowing effects for continuum and discrete deposition models
We study the dynamical evolution of the deposition interface using both discrete and continuous models for which shadowing effects are important. We explain why... -
On some historical aspects of Riemann zeta function, 2
Starting to develop what sketchily and synoptically planned in the preprint (Iurato 2013), in this place we would like to carry out a first deeper historical study of... -
HiPEAC Internship report: Machine Learning for Compilation and Architecture
This is a report about HiPEAC-funded internship at STMicroelectronics to systematize optimization and co-design of computer systems using machine learning.
