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On New Characterization of Approximation & Optimization via Exact Penalty function P? in Hilbert space

Implementing Organization

Indian Institute of Technology (IIT)
Principal Investigator
Dr. C Nahak
Dr. Bhanu Bhusan Khatua, Indian Institute Of Technology (IIT) Kharagpur, West Bengal

Project Overview

Reserachers introduce a penalty function of new kind for the problem (P) min x∈C f(x); (1) for a closed convex subset C in a Hilbert space H and f is a twice continuous Frechet differen- tiable on H. Under certain conditions, we will study the relations between problem (P) and its unconstrained reformulation in H: The main purpose of our investigation is to establish the depth layer of those properties of the objective function, which can be extended from feasible set to H concerning to P (penalty function). As a byproduct, we deliver some results on ”Approxima- tion and Optimization,” an emerging area of applied functional analysis in the current research scenario. The approximation theory deals with the approximation of the functions of a certain kind (for e.g. continuous function on some interval) by other probably simpler functions (for e.g. polynomials), such situation already arises in calculus; if a function has a Taylor series expansion, we may regard the partial sums of series as an approximation.
Funding Organization
Funding Organization
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Mathematical Sciences
Start Year
2023
End Year
2026
Sanction Amount
₹ 6.60 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :01
Grant :00
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