R. G. Vaughan, N. L. Scott, and D. R. White, The theory of bandpass sampling, IEEE Transactions on Signal Processing, vol.39, issue.9, pp.1973-1984, 1991.
DOI : 10.1109/78.134430

H. J. Landau, Necessary density conditions for sampling and interpolation of certain entire functions, Acta Mathematica, vol.117, issue.0, pp.37-52, 1967.
DOI : 10.1007/BF02395039

B. Matei and Y. Meyer, Quasicrystals are sets of stable sampling, Comptes Rendus Mathematique, vol.346, issue.23-24, pp.1235-1238, 2008.
DOI : 10.1016/j.crma.2008.10.006

S. Foucart and H. Rauhut, A Mathematical Introduction to Compressive Sensing, ser Applied and Numerical Harmonic Analysis, pp.978-978, 2013.

E. J. Candes and T. Tao, Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?, IEEE Transactions on Information Theory, vol.52, issue.12, pp.5406-5425, 2006.
DOI : 10.1109/TIT.2006.885507

E. J. Candes, J. Romberg, and T. Tao, Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information, IEEE Transactions on Information Theory, vol.52, issue.2, pp.489-509, 2006.
DOI : 10.1109/TIT.2005.862083

S. Joshi and S. Boyd, Sensor Selection via Convex Optimization, IEEE Transactions on Signal Processing, vol.57, issue.2, pp.451-462, 2009.
DOI : 10.1109/TSP.2008.2007095

J. Ranieri, A. Chebira, and M. Vetterli, Near-Optimal Sensor Placement for Linear Inverse Problems, IEEE Transactions on Signal Processing, vol.62, issue.5, pp.1135-1146, 2014.
DOI : 10.1109/TSP.2014.2299518

S. P. Chepuri and G. Leus, Sparsity-Promoting Sensor Selection for Non-Linear Measurement Models, IEEE Transactions on Signal Processing, vol.63, issue.3, pp.684-698, 2015.
DOI : 10.1109/TSP.2014.2379662

URL : http://arxiv.org/pdf/1310.5251

Y. Maday, N. Nguyen, A. Patera, and S. Pau, A general multipurpose interpolation procedure: the magic points, Communications on Pure and Applied Analysis, vol.8, issue.1, pp.383-404, 2008.
DOI : 10.3934/cpaa.2009.8.383

URL : https://hal.archives-ouvertes.fr/hal-00174797

F. Pukelsheim, Optimal Design of Experiments, Society for Industrial and Applied Mathematics, 2006.
DOI : 10.1137/1.9780898719109

Y. De-castro, F. Gamboa, D. Henrion, R. Hess, and J. Lasserre, Approximate Optimal Designs for Multivariate Polynomial Regression, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01483490

H. P. Wynn, The Sequential Generation of $D$-Optimum Experimental Designs, The Annals of Mathematical Statistics, vol.41, issue.5, pp.1655-1664, 1970.
DOI : 10.1214/aoms/1177696809

URL : http://doi.org/10.1214/aoms/1177696809

M. Shamaiah, S. Banerjee, and H. Vikalo, Greedy sensor selection: Leveraging submodularity, 49th IEEE Conference on Decision and Control (CDC), pp.2572-2577, 2010.
DOI : 10.1109/CDC.2010.5717225

G. Puy, P. Vandergheynst, and Y. Wiaux, On Variable Density Compressive Sampling, IEEE Signal Processing Letters, vol.18, issue.10, pp.595-598, 2011.
DOI : 10.1109/LSP.2011.2163712

URL : https://infoscience.epfl.ch/record/165480/files/double.pdf

N. Chauffert, P. Ciuciu, J. Kahn, and P. Weiss, Variable Density Sampling with Continuous Trajectories, SIAM Journal on Imaging Sciences, vol.7, issue.4, pp.1962-1992, 2014.
DOI : 10.1137/130946642

URL : https://hal.archives-ouvertes.fr/hal-00908486

A. Cohen, M. A. Davenport, and D. Leviatan, On the Stability and Accuracy of Least Squares Approximations, Foundations of Computational Mathematics, vol.12, issue.5, pp.819-834, 2013.
DOI : 10.1007/s10208-011-9099-z

URL : https://hal.archives-ouvertes.fr/hal-01432960

G. Chardon, Design of variable densities for least-squares approximations, 2017 International Conference on Sampling Theory and Applications (SampTA), pp.566-569, 2017.
DOI : 10.1109/SAMPTA.2017.8024445

URL : https://hal.archives-ouvertes.fr/hal-01741782

G. Chardon, A. Cohen, and L. Daudet, Sampling and Reconstruction of Solutions to the Helmholtz Equation, Sampling Theory in Signal and Image Processing, pp.67-89, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01350609

G. Chardon, W. Kreuzer, and M. Noisternig, Design of Spatial Microphone Arrays for Sound Field Interpolation, IEEE Journal of Selected Topics in Signal Processing, vol.9, issue.5, pp.780-790, 2015.
DOI : 10.1109/JSTSP.2015.2412097

URL : https://hal.archives-ouvertes.fr/hal-01148971

J. Kiefer and J. Wolfowitz, The equivalence of two extremum problems, Journal canadien de math??matiques, vol.12, issue.0, pp.363-366, 1960.
DOI : 10.4153/CJM-1960-030-4

J. Kiefer, Optimum Experimental Designs V, with Applications to Systematic and Rotatable Designs, Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability Contributions to the Theory of Statistics, pp.381-405, 1961.
DOI : 10.1007/978-1-4615-6660-1_4

S. D. Silvey, D. H. Titterington, and B. Torsney, An algorithm for optimal designs on a design space, Communications in Statistics - Theory and Methods, vol.35, issue.14, pp.1379-1389, 1978.
DOI : 10.1214/aoms/1177696809

Y. Yu, D-optimal designs via a cocktail algorithm, Statistics and Computing, vol.54, issue.4, pp.475-481, 2011.
DOI : 10.1016/j.csda.2010.01.026

URL : https://link.springer.com/content/pdf/10.1007%2Fs11222-010-9183-2.pdf

A. Cohen and G. Migliorati, Optimal weighted least-squares methods, SMAI Journal of Computational Mathematics, vol.3, issue.3, pp.181-203, 2017.
DOI : 10.5802/smai-jcm.24

URL : https://hal.archives-ouvertes.fr/hal-01354003

M. Frank and P. Wolfe, An algorithm for quadratic programming, Naval Research Logistics Quarterly, vol.3, issue.1-2, pp.95-110, 1956.
DOI : 10.2140/pjm.1955.5.183

M. Jaggi, Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization, International Conference on Machine Learning, pp.427-435, 2013.

D. J. White, Extension of the Frank-Wolfe algorithm to concave nondifferentiable objective functions, Journal of Optimization Theory and Applications, vol.13, issue.2, pp.283-301, 1993.
DOI : 10.1007/BF00939671

R. Douc, O. Cappe, and E. Moulines, Comparison of resampling schemes for particle filtering, ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005., pp.64-69, 2005.
DOI : 10.1109/ISPA.2005.195385

URL : https://hal.archives-ouvertes.fr/hal-00005883

C. Schretter and H. Niederreiter, A direct inversion method for non-uniform quasi-random point sequences, Monte Carlo Methods and Applications, pp.1-9, 2013.
DOI : 10.1515/mcma-2012-0014

, Available: https

M. Gerber, N. Chopin, and N. Whiteley, Negative association, ordering and convergence of resampling methods, 2017.

A. Moiola, R. Hiptmair, and I. Perugia, Plane wave approximation of homogeneous Helmholtz solutions, Zeitschrift für angewandte Mathematik und Physik, p.809, 2011.
DOI : 10.1023/B:ACOM.0000016428.25905.da

J. Guélat and P. Marcotte, Some comments on Wolfe's ???away step???, Mathematical Programming, pp.110-119, 1986.
DOI : 10.1007/BF01589445