(online)
The aim of the course is to introduce semipositive matrices, semimonotone matrices and related classes, as well as their various geometric and algebraic properties; develop, explore and exploit the relations among these matrix classes in optimization; exhibit recent trends and propose future work in the field. Applications are invited from researchers, faculty members and well-motivated master and BTech degree students of different institutions, particularly, those who are working or looking forward to work in the areas of Linear Algebra and Optimizations.
» Brochure & Tentative Schedule [PDF]
» Registration process:
Step-1: One time Web (Portal) Registration: All prospective participants need to do web registration on GIAN (https://gian.iitkgp.ac.in/GREGN/index) portal by making onetime non-refundable payment of Rs. 500/, in case not registered before.
Step-2: Course Registration (Through GIAN Portal)
Step-3: After GIAN Registration the Course fee is to be deposited online in the institute account. The program fee covers the course materials and access to all the sessions. Participants should pay course fee through online mode (NEFT/IMPS) and fill up transaction ID/details in the google form with the link and the account details given below:
Bank Name |
UCO Bank |
Account Name |
NIT MEGHALAYA R AND D ACCOUNT |
Account Number |
23730110010280 |
IFSC Code |
UCBA0002373 |
MICR No |
793028003 |
Step-4: After online payment of course fee, fill the google form Registration link given below:
https://forms.gle/AUfWTsemkKEVnP9s5
*The above fee includes all instructional materials, tutorials and assignments, laboratory usage, working lunch and refreshments on course session days. Limited participants will be provided with accommodation on payment basis (subject to the availability in the hostels) with early reservation.
» Important Dates:
Last date of Registration: 30.11.2022
Intimation of selection: 05.12.2022
Confirmation of participation: 07.12.2022
Online link will shared: 10-12-2022
» List of Selected Candidates: To be Announced
For any query regarding the GIAN Course pleases contact: Dr. Manideepa Saha (email: 'manideepa.saha@nitm.ac.in, contact no. 9485177032)