Automation of a procedure to find the polynomial which best fits (κ, c1, c2, T) data of electrolyte solutions by non-linear regression analysis using mathematica® software
- DOI
- 10.1016/s0097-8485(01)00115-2
- Published
- 2002-02
- Container
- Computers & Chemistry
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/s0097-8485-01-00115-2,
title = {Automation of a procedure to find the polynomial which best fits (κ, c1, c2, T) data of electrolyte solutions by non-linear regression analysis using mathematica® software},
author = {E Cortazar and A Usobiaga and L.A Fernández and A de Diego and J.M Madariaga},
year = {2002},
journal = {Computers \& Chemistry},
doi = {10.1016/s0097-8485(01)00115-2},
url = {https://doi.org/10.1016/s0097-8485(01)00115-2}
}RIS
TY - JOUR TI - Automation of a procedure to find the polynomial which best fits (κ, c1, c2, T) data of electrolyte solutions by non-linear regression analysis using mathematica® software AU - E Cortazar AU - A Usobiaga AU - L.A Fernández AU - A de Diego AU - J.M Madariaga PY - 2002 JO - Computers & Chemistry DO - 10.1016/s0097-8485(01)00115-2 UR - https://doi.org/10.1016/s0097-8485(01)00115-2 ER -
APA
Cortazar, E., Usobiaga, A., Fernández, L., Diego, A. D., & Madariaga, J. (2002). Automation of a procedure to find the polynomial which best fits (κ, c1, c2, T) data of electrolyte solutions by non-linear regression analysis using mathematica® software. Computers & Chemistry. https://doi.org/10.1016/s0097-8485(01)00115-2
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- crossref · retrieved 2026-11-04T04:03:51.550Z