Sharon, Nir. 2015. “Approximating Functions on Manifolds and Manifold-Valued Functions”. School of Mathematical Sciences Tel Aviv University. Reference Link
Itai, Uri, and Nir Sharon. 2013. “Subdivision Schemes for Positive Definite Matrices”. Foundations of Computational Mathematics 13 (3). Springer: 347–369. Reference Link
Sharon, Nir, and Uri Itai. 2013. “Approximation Schemes for Functions of Positive-Definite Matrix Values”. IMA Journal of Numerical Analysis 33 (4). Oxford University Press: 1436–1468. Reference Link
Sharon, Nir, and Yoel Shkolnisky. 2015. “A Class of Laplacian Multiwavelets Bases for High-Dimensional Data”. Applied and Computational Harmonic Analysis 38 (3). Elsevier: 420–451. Reference Link
Dyn, Nira, Allison Heard, Kai Hormann, and Nir Sharon. 2015. “Univariate Subdivision Schemes for Noisy Data With Geometric Applications”. Computer Aided Geometric Design 37: 85-104. Reference Link
May, Victor, Yosi Keller, Nir Sharon, and Yoel Shkolnisky. 2016. “An Algorithm for Improving Non-Local Means Operators via Low-Rank Approximation”. IEEE Transactions on Image Processing 25 (3). IEEE: 1340–1353. Reference Link
Dyn, Nira, and Nir Sharon. 2016. “A Global Approach to the Refinement of Manifold Data”. Mathematics of Computation. Reference Link
Dyn, Nira, and Nir Sharon. 2017. “Manifold-Valued Subdivision Schemes Based on Geodesic Inductive Averaging”. Journal of Computational and Applied Mathematics 311. Elsevier: 54–67. Reference Link
Dyn, Nira, Uri Itai, and Nir Sharon. 2014. “Approximation Operators for Matrix-Valued Functions Based on Matrix Decompositions.” Reference Link
Sharon, Nir. 2010. “Bivariate Interpolation Based on Univariate Subdivision Schemes”. School of Mathematical Sciences Tel Aviv University. Reference Link
Sharon, Nir, and Yoel Shkolnisky. n.d. “Matrix Chebyshev Expansion and Its Application for Eigenspaces Recovery.” Reference Link