Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms
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Summary
Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms is a doctoral thesis[1].
Key Facts
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms authored Elvar Bjarkason[2].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's instance of is recorded as doctoral thesis[3].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms was published by ResearchSpace@Auckland[4].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's copyright license is recorded as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand[5].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's country of origin is recorded as New Zealand[6].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms was released on 2018[7].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's main subject is engineering physics[8].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/46358[9].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's title is recorded as Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms[10].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's copyright holder is recorded as Elvar Bjarkason[11].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's thesis submitted to is recorded as University of Auckland[12].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's on focus list of Wikimedia project is recorded as NZThesisProject[13].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's copyright status is recorded as copyrighted[14].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's online access status is recorded as open access[15].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's thesis committee member is recorded as Michael John O'Sullivan[16].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's thesis committee member is recorded as John P. O’Sullivan[17].
- Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's thesis submitted for degree is recorded as Doctor of Philosophy[18].
Body
Designation and Status
Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's instance of is recorded as doctoral thesis[3].