@inproceedings{2a94fc1951df4049afcb433f69eb0368,
title = "A SAL based algorithm for convex optimization problems",
abstract = "A new successive approximation logic (SAL) based iterative optimization algorithm for convex optimization problem is presented in this paper. The algorithm can be generalized for multi-variable quadratic objective function. There are two major advantages of the proposed algorithm. First of all, the proposed algorithm takes a fixed number of iterations which depends not on the objective function but on the search span and on the resolution we desire. Secondly, for an n variable objective function, if the number of data points we consider in the span is N, then the algorithm takes just nlog2 N number of iterations.",
keywords = "Iterative optimization, Quadratic objective function",
author = "Mishra, {Amit Kumar}",
year = "2010",
month = dec,
day = "17",
doi = "10.1109/INDCON.2010.5712598",
language = "English",
isbn = "978-1-4244-9072-1",
series = "Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010",
publisher = "IEEE Press",
booktitle = "Proceedings of the 2010 Annual IEEE India Conference",
address = "United States of America",
note = "2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010 ; Conference date: 17-12-2010 Through 19-12-2010",
}
