User profiles for S. Lakshmivarahan

S Lakshmivarahan

George Lynn Cross Research Professor Emeritus, Computer Science, University of …
Verified email at ou.edu
Cited by 3960

[BOOK][B] Dynamic data assimilation: a least squares approach

JM Lewis, S Lakshmivarahan, S Dhall - 2006 - books.google.com
… Once Pk (xk) is known, we can address questions such as: given an arbitrary subset S of
the state space R", what is the probability that the state X at time k will be a member of the set S

Symmetry in interconnection networks based on Cayley graphs of permutation groups: A survey

S Lakshmivarahan, JS Jwo, SK Dhall - Parallel computing, 1993 - Elsevier
… We now list a number of transposition graphs corresponding to different generator sets for S
… be extended to any permutation group F ___ S n. To this end, given F _ S n, define a Base(F…

Nudging methods: A critical overview

S Lakshmivarahan, JM Lewis - Data Assimilation for Atmospheric, Oceanic …, 2013 - Springer
A review of the various methods used to implement the “nudging” form of data assimilation
has been presented with the intension of identifying both the pragmatic and theoretical …

A new class of interconnection networks based on the alternating group

JS Jwo, S Lakshmivarahan, SK Dhall - Networks, 1993 - Wiley Online Library
This paper introduces a new class of interconnection scheme based on the Cayley graph of
the alternating group. It is shown that this class of graphs are edge symmetric and 2‐…

[BOOK][B] Learning algorithms theory and applications: theory and applications

S Lakshmivarahan - 2012 - books.google.com
… all independent of k, {p(k)}, k ≥ 0 is a discrete time Markov process with stationary transition
function over the State Space S It is obvious that we need further conditions on f(.) and g(.) …

Embedding of cycles and grids in star graphs

JS Jwo, S Lakshmivarahan, SK Dhall - Journal of Circuits, Systems …, 1991 - World Scientific
The use of the star graph as a viable interconnection scheme for parallel computers has
been examined by a number of authors in recent times. An attractive feature of this class of …

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images

…, M Heidari, G Danala, S Lakshmivarahan… - Computer methods and …, 2021 - Elsevier
… with a delay of 28 s (arterial phase), 55 s (portal phase), and 120 s (venous phase) after …
Pharma) intravenously at a flow rate of 2.5 ml/s. The CT scanning parameters include (1) tube …

Applying a random projection algorithm to optimize machine learning model for breast lesion classification

M Heidari, S Lakshmivarahan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
… To do so, if we define s = 1/density, in which density defines ratio of non-zero
components in the RPA, the components of the matrix as random matrix elements (RME) are: …

[HTML][HTML] Development of an automated classification procedure for rainfall systems

…, JS Kain, S Lakshmivarahan - Monthly weather …, 2005 - journals.ametsoc.org
… Baldwin, ME, and S. Lakshmivarahan, 2003: Spatial characterization of rainfall patterns
for use in a classification system. Intelligent Engineering Systems through Artificial Neural …

[HTML][HTML] Cluster analysis of multimodel ensemble data from SAMEX

A Alhamed, S Lakshmivarahan… - Monthly weather …, 2002 - journals.ametsoc.org
Short-range ensemble forecasts from the Storm and Mesoscale Ensemble Experiment (SAMEX)
are examined to explore the importance of model diversity in short-range ensemble …