Skip to main navigation
Skip to search
Skip to main content
the Research Portal - University of Namur Home
English
Français
Home
Profiles
Research units
Projects
Research output
Student theses
Equipment
Datasets
Prizes
Activities
Press/Media
Search by expertise, name or affiliation
How much do approximate derivatives hurt filter methods?
Caroline Sainvitu
,
Philippe Toint
Research output
:
Contribution to journal
›
Article
›
peer-review
21
Downloads (Pure)
Overview
Fingerprint
Projects
(2)
Fingerprint
Dive into the research topics of 'How much do approximate derivatives hurt filter methods?'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Filter Method
100%
Trust Region Algorithm
46%
Trust Region Method
44%
Derivative
41%
Unconstrained Optimization
37%
Nonlinear Optimization
36%
Second derivative
34%
Filter
29%
Nonlinear Problem
28%
Robustness
27%
Influence
25%
Optimization Problem
23%
Numerical Experiment
23%
Business & Economics
Filter
69%
Derivatives
60%
Nonlinear Optimization
44%
Robustness
41%
Numerical Experiment
34%
Optimization Problem
30%
Engineering & Materials Science
Derivatives
54%
Experiments
11%