prikaz prve stranice dokumenta Application of stochastic collocation method and sensitivity analysis to bioelectromagnetics models
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doctoral thesis
Application of stochastic collocation method and sensitivity analysis to bioelectromagnetics models

University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Šušnjara, A. (2021). Application of stochastic collocation method and sensitivity analysis to bioelectromagnetics models (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:680511

Šušnjara, Anna. "Application of stochastic collocation method and sensitivity analysis to bioelectromagnetics models." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:680511

Šušnjara, Anna. "Application of stochastic collocation method and sensitivity analysis to bioelectromagnetics models." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:680511

Šušnjara, A. (2021). 'Application of stochastic collocation method and sensitivity analysis to bioelectromagnetics models', Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 27 March 2023, https://urn.nsk.hr/urn:nbn:hr:179:680511

Šušnjara A. Application of stochastic collocation method and sensitivity analysis to bioelectromagnetics models [Doctoral thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2023 March 27] Available at: https://urn.nsk.hr/urn:nbn:hr:179:680511

A. Šušnjara, "Application of stochastic collocation method and sensitivity analysis to bioelectromagnetics models", Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:680511

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