Searching for "Problem F." – sorted by Relevance.
-
A FIRST HIPPARCOS CONTRIBUTION TO THE LITHIUM PROBLEM F. Crifo, F. Spite, M. Spite
- 351 A FIRST HIPPARCOS CONTRIBUTION TO THE LITHIUM PROBLEM F. Crifo, F. Spite, M. Spite DASGAL, URA
- Add To MetaCart
-
F5.308e+05>ALGORITHMS FOR THE CERTIFIED WRITE-ALL PROBLEM4.162e+05> <F4.039e+05> - ALGORITHMS FOR THE CERTIFIED WRITE-ALL PROBLEM # RICHARD J. ANDERSON + AND HEATHER WOLL # SIAM J
- Add To MetaCart
-
On the Pointwise Maximum of Convex Functions
- consider the corresponding problem with f + g replaced by f g, where, for all f; g 2 PCLSC(E), f g
- Cited by 1 (0 self) – Add To MetaCart
-
Concentration of low energy extremals: Identification of concentration points
- . Garroni, S. Muller Version: January 25, 2001 Abstract We study the variational problem S F "( = 1
- Add To MetaCart
-
Concentration phenomena for the volume functional in unbounded domains: Identification of concentration points
- problem S F " (\Omega\Gamma = 1 " 2 sup aeZ \Omega F (u) : Z \Omega jruj 2 " 2 ; u = 0
- Add To MetaCart
-
The Maximum F-Depth Spanning Tree Problem
- THE MAXIMUM f-DEPTH SPANNING TREE PROBLEM JÉRÔME MONNOT LAMSADE, Université Paris-Dauphine, Place
- Cited by 3 (1 self) – Add To MetaCart
-
LEAMAX CERN Program Library D501 Author(s) : W. M"onch, B. Schorr Library: MATHLIBSubmitter: W. M"onch Submitted: 15.03.1993Language: Fortran Revised: Constrained Non-Linear Least Squares and Maximum Likelihood Estimation
- -linear least squares problem 'S(a) = 12 mX i=1 [fi(a)]2; (F) The least squares data fitting problem 'F (a
- Add To MetaCart
-
Verified Estimation of Taylor Coefficients and Taylor Remainder Series of Analytic Functions
- .neher@(email omitted); 1 Introduction Let y = �∞ j=0 bjz j be the analytic solution of a problem F(y) = 0 that depends
- Add To MetaCart
-
Quantum and Classical Communication-Space Tradeoffs from Rectangle Bounds
- for the discrepancy of communication problems. If for any problem f : XY # Z the multicolor discrepancy
- Cited by 5 (2 self) – Add To MetaCart
-
\Delta \Delta
- , continue. 2. Apply an optimization algorithm to the approximate problem to find an x k+ for which f(x k
- Add To MetaCart

