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Analysis of MHD, chemically reactive bioconvection flow of non-newtonian fluids with nanoparticles / Faiza Raies. [Thesis or Dissertation]

By:

Raies, Syeda Faiza [SP19-RMT-038/ISB]

Material type: Text

TextLanguage: English Publication details: Islamabad : COMSATS University Islamabad, 2020.Description: xvi, 53 pages : color illustrations ; 30 cm + 1 DVD-ROM (4 3/4 in.)Subject(s):

Genre/Form:

Mathematics

DDC classification:

510 RIA-A

Other classification:

510 RIA-A

Dissertation note: A Post Graduate thesis submitted to the department of Mathematics as a partial fulfillment of the requirement for the award of degree of MS in Mathematics.External Examiner: Muhammad Ramzan, Dr. Prof, Computer Science, Bahria University, Islamabad. COMSATS University Islamabad

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Holdings
Item type	Current library	Collection	Call number	URL	Copy number	Status	Notes	Date due	Barcode	Item holds
Thesis or Dissertation	Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor	Thesis or Dissertation	T 510 RIA-A 11082 (Browse shelf(Opens below))	Link to resource	1	Available	A Post Graduate thesis submitted to the department of Mathematics as a partial fulfillment of the requirement for the award of degree of MS in Mathematics.External Examiner: Muhammad Ramzan, Dr. Prof, Computer Science, Bahria University, Islamabad.		10001TP0011082

Total holds: 0

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Previous	T 510 REH-E 7183 Exact and approximate riemann solutions of nonlinear hyperbolic conservation laws /	T 510 REH-M 10254 Metric fixed point theorems of generalized fuzzy mappings /	T 510 REH-N 11844 Nonsimilar convection analysis of a forced flow in a porous media subjected to thermal radiations and heat generation /	T 510 RIA-A 11082 Analysis of MHD, chemically reactive bioconvection flow of non-newtonian fluids with nanoparticles /	T 510 RIA-A 11713 Analytical and numerical solutions of self-similar and non-similar boundary layer flows /	T 510 RIA-C 12098 Cryptocurrency price prediction using machine learning techniques /	T 510 RIA-C 12098 Cryptocurrency price prediction using machine learning techniques /	Next

A Post Graduate thesis submitted to the department of Mathematics as a partial fulfillment of the requirement for the award of degree of MS in Mathematics.External Examiner: Muhammad Ramzan, Dr. Prof, Computer Science, Bahria University, Islamabad. COMSATS University Islamabad

MS in Mathematics.

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