Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques
2010 doctoral thesis by Blair Lennon Robertson at University of Canterbury
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Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques
Summary
Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques is a doctoral thesis[1].
Key Facts
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques authored Blair Robertson[2].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's instance of is recorded as doctoral thesis[3].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques was published by UC Research Repository[4].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's language of work or name is recorded as English[5].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's country of origin is recorded as New Zealand[6].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques was published on 2010[7].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's main subject is chimeric antigen receptor[8].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's main subject is random search[9].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's main subject is executive search[10].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's main subject is JavaScript filter method[11].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's work available at URL is recorded as https://ir.canterbury.ac.nz/handle/10092/5060[12].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's title is recorded as Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques[13].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's copyright holder is recorded as Blair Robertson[14].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's thesis submitted to is recorded as University of Canterbury[15].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's on focus list of Wikimedia project is recorded as NZThesisProject[16].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's copyright status is recorded as copyrighted[17].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's online access status is recorded as open access[18].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's thesis committee member is recorded as Christopher J. Price[19].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's thesis committee member is recorded as Marco Reale[20].
- Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques's thesis submitted for degree is recorded as Doctor of Philosophy[21].
Body
Authorship and Creation
Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques authored Blair Robertson[2]. It was published by UC Research Repository[4].
Publication
Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques was released on 2010[7]. Its language of work or name is recorded as English[5].
Subject and Themes
Main subjects include chimeric antigen receptor[8], random search[9], executive search[10], and JavaScript filter method[11].