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Record
Title
Numerical and Symbolic Methods for Dynamic Optimization
Type
Dissertation
Publ. year
2016
Author/s
Magnusson, Fredrik
Department/s
ELLIIT: the Linköping-Lund initiative on IT and mobile communication; Department of Automatic Control
In LUP since
2016-10-12
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Total This Year This Month
2092 41 1
 Downloads per Country

Sweden
361 (17%)
United States of America
347 (17%)
Germany
291 (14%)
China
70 (3%)
United Kingdom of Great Britain and Northern Ireland
69 (3%)
India
63 (3%)
France
57 (3%)
Italy
50 (2%)
Russian Federation
50 (2%)
Czechia
44 (2%)
Norway
41 (2%)
Canada
40 (2%)
Austria
29 (1%)
Japan
26 (1%)
Spain
26 (1%)
Brazil
24 (1%)
Belgium
24 (1%)
Hong Kong (China)
22 (1%)
Unknown
19 (1%)
South Africa
18 (1%)
Netherlands (Kingdom of the)
18 (1%)
Ethiopia
17 (1%)
Switzerland
17 (1%)
South Korea
17 (1%)
Iran
17 (1%)
Denmark
16 (1%)
Finland
16 (1%)
Australia
16 (1%)
Iraq
14 (1%)
Mexico
14 (1%)
Poland
14 (1%)
Turkiye
13 (1%)
Taiwan (China)
13 (1%)
Singapore
12 (1%)
Algeria
12 (1%)
Indonesia
11 (1%)
Pakistan
11 (1%)
Portugal
11 (1%)
Egypt
11 (1%)
Ireland
11 (1%)
Greece
10 (0%)
Thailand
8 (0%)
Colombia
7 (0%)
Malaysia
7 (0%)
Croatia
6 (0%)
Ukraine
5 (0%)
Bangladesh
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Viet Nam
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Rwanda
4 (0%)
Nigeria
4 (0%)
Hungary
4 (0%)
Romania
4 (0%)
Lithuania
4 (0%)
Slovakia
4 (0%)
New Zealand
4 (0%)
Chile
3 (0%)
Saudi Arabia
3 (0%)
United Arab Emirates
3 (0%)
Iceland
3 (0%)
Costa Rica
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Serbia
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Morocco
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Bulgaria
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Peru
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Philippines
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Israel
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Cyprus
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Argentina
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Sudan
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Seychelles
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Slovenia
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Tunisia
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Belarus
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Kenya
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Nepal
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Ghana
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Latvia
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Syrian Arab Republic
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Cameroon
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Venezuela
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Azerbaijan
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Tanzania, the United Republic of
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Zimbabwe
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Albania
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Jordan
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Armenia
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Madagascar
1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access full-texts. Efforts have been made to exclude downloads by robots and track irregular download activities.

About accessibility

Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
2026-10-08 11:53:03