USC 
USC-Math 
IMI 

E-Mail: binev@math.sc.edu

Office Hours: TTh 1:00-2:30 PM
      at LeConte 425  (or  Sumwalt 206H)

Phone: (803) 576-6269, 576-6304 

Fax: (803) 777-6527

Office: LeConte 425      Lab: Sumwalt 206H 

Mail: 

Peter G. Binev 
Department of Mathematics
University of South Carolina
Columbia, SC 29208  
 

  P. Binev

    Adaptive Methods and Near-Best Tree Approximation
    Mathematisches Forschungsinstitut Oberwolfach   Report No. 29 (2007), 1669-1673, MFO

  P. Binev, A. Cohen, W. Dahmen, and R. DeVore
    Universal Piecewise Polynomial Estimators for Machine Learning
    in Curve and Surface Design: Avignon 2006 (P. Chenin et al., eds.,) Nashboro Press (2007), 48-77

  P. Binev, A. Cohen, W. Dahmen, and R. DeVore
    Universal algorithms for learning theory - Part II: piecewise polynomial functions
    Constructive Approximation  26 (2007), 127-152, SpringerLink

  P. Binev, A. Cohen, W. Dahmen, R. DeVore, and V. Temlyakov
    Universal algorithms for learning theory - Part I: piecewise constant functions
    Journal of Machine Learning Research  6 (2005), 1297-1321, JMLR

  P. Binev

    Adaptive Finite Element Methods with Optimal Complexity
    Mathematisches Forschungsinstitut Oberwolfach   Report No. 37 (2005), 2101-2104, MFO

  P. Binev, W. Dahmen, R. DeVore, and N. Dyn
    Adaptive Approximation of Curves
     IMI Preprint Series 2004:19, PostScript
     published in: APPROXIMATION THEORY: A volume dedicated to Borislav Bojanov, (D. K. Dimitrov et all., Eds.) Marin Drinov Academic Publishing House, Sofia (2004), 43-57

  P. Binev and R. DeVore
    Fast Computation in Adaptive Tree Approximation
     Numer. Math. 97 (2004), 193-217, SpringerLink

  P. Binev, W. Dahmen, R. DeVore
    Adaptive Finite Element Methods with Convergence Rates
     Numer. Math. 97 (2004), 219-268, SpringerLink

  P. Binev, W. Dahmen, R. DeVore, P. Petrushev
    Approximation Classes for Adaptive Methods
     Serdica Math. J., v. 28 (2002), 391-416, PostScript