A lower bound on complexity of optimization under the r-fold integrated Wiener measure
Document Type
Conference Proceeding
Publication Date
1-1-2011
Abstract
We consider the problem of approximating the global minimum of an r-times continuously differentiable function on the unit interval, based on sequentially chosen function and derivative evaluations. Using a probability model based on the r-fold integrated Wiener measure, we establish a lower bound on the expected number of function evaluations required to approximate the minimum to within ∈ on average. © 2010 Elsevier Inc. All rights reserved.
Identifier
79955068900 (Scopus)
Publication Title
Journal of Complexity
External Full Text Location
https://doi.org/10.1016/j.jco.2010.10.006
e-ISSN
10902708
ISSN
0885064X
First Page
404
Last Page
416
Issue
3-4
Volume
27
Grant
CMMI-0825381
Fund Ref
National Science Foundation
Recommended Citation
Calvin, James M., "A lower bound on complexity of optimization under the r-fold integrated Wiener measure" (2011). Faculty Publications. 11556.
https://digitalcommons.njit.edu/fac_pubs/11556
