Abstract
We study nonlinear m-term approximation with regard to a redundant dictionary \(\mathcal {D}\) in a Hilbert space H. It is known that the Pure Greedy Algorithm (or, more generally, the Weak Greedy Algorithm) provides for each f∈H and any dictionary \(\mathcal {D}\) an expansion into a series
with the Parseval property: ‖f‖2=∑j|cj(f)|2. Following the paper of A. Lutoborski and the second author we study analogs of the above expansions for a given finite number of functions f1,. . .,fN with a requirement that the dictionary elements φj of these expansions are the same for all fi, i=1,. . .,N. We study convergence and rate of convergence of such expansions which we call simultaneous expansions.
Similar content being viewed by others
References
A.R. Barron, Universal approximation bounds for superposition of n sigmoidal functions, IEEE Trans. Inform. Theory 39 (1993) 930–945.
A. Cohen, R.A. DeVore and R. Hochmuth, Restricted nonlinear approximation, Constr. Approx. 16 (2000) 85–113.
G. Davis, S. Mallat and M. Avellaneda, Adaptive greedy approximations, Constr. Approx. 13 (1997) 57–98.
R.A. DeVore, Nonlinear approximation, Acta Numerica (1998) 51–150.
R. DeVore, B. Jawerth and V. Popov, Compression of wavelet decompositions, Amer. J. Math. 114 (1992) 737–785.
R.A. DeVore and V.N. Temlyakov, Nonlinear approximation by trigonometric sums, J. Fourier Anal. Appl. 2 (1995) 29–48.
R.A. DeVore and V.N. Temlyakov, Some remarks on Greedy Algorithms, Adv. Comput. Math. 5 (1996) 173–187.
R.A. DeVore and V.N. Temlyakov, Nonlinear approximation in finite-dimensional spaces, J. Complexity 13 (1997) 489–508.
S.J. Dilworth, N.J. Kalton, D. Kutzarova and V.N. Temlyakov, The tresholding greedy algorithm, greedy bases, and duality, IMI-Preprint Series 23 (2001) 1–23.
D.L. Donoho, Unconditional bases are optimal bases for data compression and for statistical estimation, Appl. Comput. Harmon. Anal. 1 (1993) 100–115.
D.L. Donoho, CART and best-ortho-basis: A connection, Preprint (1995) 1–45.
M. Donahue, L. Gurvits, C. Darken and E. Sontag, Rate of convex approximation in non-Hilbert spaces, Constr. Approx. 13 (1997) 187–220.
V.V. Dubinin, Greedy algorithms and applications, Ph.D. Thesis, University of South Carolina (1997).
J.H. Friedman and W. Stuetzle, Projection pursuit regression, J. Amer. Statist. Assoc. 76 (1981) 817–823.
R. Gribonval and M. Nielsen, Some remarks on non-linear approximation with Schauder bases, East J. Approx. 7 (2001) 267–285.
P.J. Huber, Projection pursuit, Ann. Statist. 13 (1985) 435–475.
L. Jones, On a conjecture of Huber concerning the convergence of projection pursuit regression, Ann. Statist. 15 (1987) 880–882.
L. Jones, A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training, Ann. Statist. 20 (1992) 608–613.
A. Kamont and V.N. Temlyakov, Greedy approximation and the multivariate Haar system, IMI-Preprint Series 20 (2002) 1–24.
B.S. Kashin and V.N. Temlyakov, On best m-terms approximations and the entropy of sets in the space L1, Math. Notes 56 (1994) 57–86.
B.S. Kashin and V.N. Temlyakov, On estimating approximative characteristics of classes of functions with bounded mixed derivative, Math. Notes 58 (1995) 922–925.
G. Kerkyacharian and D. Picard, Entropy, universal coding, approximation and bases properties, University of Paris 6 and 7, Preprint 663 (2001) 1–32.
S.V. Konyagin and V.N. Temlyakov, A remark on greedy approximation in Banach spaces, East J. Approx. 5 (1999) 1–15.
S.V. Konyagin and V.N. Temlyakov, Rate of convergence of pure greedy algorithm, East J. Approx. 5 (1999) 493–499.
S.V. Konyagin and V.N. Temlyakov, Convergence of greedy approximation I. General systems, IMI-Preprint Series 08 (2002) 1–19.
S.V. Konyagin and V.N. Temlyakov, Convergence of greedy approximation II. The trigonometric system, IMI-Preprint Series 09 (2002) 1–25.
S.V. Konyagin and V.N. Temlyakov, Greedy approximation with regard to bases and general minimal systems, Serdica Math. J. 28 (2002) 305–328.
E.D. Livshitz, On the rate of convergence of greedy algorithm, Manuscript (2000).
E.D. Livshitz and V.N. Temlyakov, On convergence of weak greedy algorithms, IMI-Preprint 13 (2000) 1–9.
A. Lutoborski and V.N. Temlyakov, Vector greedy algorithms, J. Complexity 19 (2003) 458–473.
P. Oswald, Greedy algorithms and best m-term approximation with respect to biorthogonal systems, Preprint (2000) 1–22.
L. Rejtö and G.G. Walter, Remarks on projection pursuit regression and density estimation, Stochastic Anal. Appl. 10 (1992) 213–222.
E. Schmidt, Zur Theorie der linearen und nichtlinearen Integralgleichungen. I, Math. Ann. 63 (1906–1907) 433–476.
V.N. Temlyakov, Greedy algorithm and m-term trigonometric approximation, Constr. Approx. 14 (1998) 569–587.
V.N. Temlyakov, The best m-term approximation and greedy algorithms, Adv. Comput. Math. 8 (1998) 249–265.
V.N. Temlyakov, Nonlinear m-term approximation with regard to the multivariate Haar system, East J. Approx. 4 (1998) 87–106.
V.N. Temlyakov, Greedy algorithms and m-term approximation with regard to redundant dictionaries, J. Approx. Theory 98 (1999) 117–145.
V.N. Temlyakov, Greedy algorithms with regard to the multivariate systems with a special structure, Constr. Approx. 16 (2000) 399–425.
V.N. Temlyakov, Weak greedy algorithms, Adv. Comput. Math. 12 (2000) 213–227.
V.N. Temlyakov, A criterion for convergence of weak greedy algorithms, Adv. Comput. Math. 17 (2002) 269–280.
V.N. Temlyakov, Two lower estimates in greedy approximation, IMI-Preprint Series 07 (2001) 1–12.
V.N. Temlyakov, Nonlinear methods of approximation, IMI-Preprint Series 09 (2001) 1–57.
P. Wojtaszczyk, Greedy algorithms for general systems, J. Approx. Theory 107 (2000) 293–314.
Author information
Authors and Affiliations
Additional information
Communicated by Yuesheng Xu
Dedicated to our colleague and friend Dr. Charles Micchelli on his 60th birthday
Mathematics subject classifications (2000)
primary 41A65; secondary 41A25, 41A46, 46B20.
D. Leviatan: Part of this work was done while the first author visited the University of South Carolina in January 2003.
V.N. Temlyakov: This research was supported by the National Science Foundation Grant DMS 0200187 and by ONR Grant N00014-96-1-1003.
Rights and permissions
About this article
Cite this article
Leviatan, D., Temlyakov, V.N. Simultaneous approximation by greedy algorithms. Adv Comput Math 25, 73–90 (2006). https://doi.org/10.1007/s10444-004-7613-4
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/s10444-004-7613-4