S. Lakshmivarahan

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Absolutely Expedient Learning Algorithms For Stochastic Automata

S. Lakshmivarahan, Mal Thathachar, M. Thathachar, 1973 .

Learning Algorithms Theory and Applications

S. Lakshmivarahan, S. Lakshmivarahan, 1981 .

Absolute Expediency of Q-and S-Model Learning Algorithms

S. Lakshmivarahan, Mandayam A. L. Thathachar, M. Thathachar, 1976, IEEE Transactions on Systems, Man, and Cybernetics.

Bounds on the Convergence Probabilities of Learning Automata

M. Thathachar, S. Lakshmivarahan, 1976 .

Learning Algorithms for Two-Person Zero-Sum Stochastic Games with Incomplete Information

S. Lakshmivarahan, Kumpati S. Narendra, K. Narendra, 1981, Math. Oper. Res..

Dynamic Data Assimilation: A Least Squares Approach

J. M. Lewis, S. Lakshmivarahan, S. Dhall, 2006 .

Ring, torus and hypercube architectures/algorithms for parallel computing

S. Lakshmivarahan, Sudarshan K. Dhall, S. Lakshmivarahan, 1999, Parallel Comput..

Numerical studies of stochastic approximation procedures for constrained problems

H. Kushner, S. Lakshmivarahan, 1977 .

Analysis of memory depth in fixed structure learning automata

K. Narendra, S. Lakshmivarahan, 1977 .

On the spectral properties of Cayley Graphs of metabelian and nilpotent group extensions

S. Lakshmivarahan, Kashyap Rajeevsarathy, P. K. Arora, 2016 .

Comparison of performance of three parallel versions of the block cyclic reduction algorithm for solving linear elliptic partial differential equations

J. M. Lewis, S. Lakshmivarahan, S. Dhall, 1992 .

Data Assimilation as a Problem in Optimal Tracking: Application of Pontryagin’s Minimum Principle to Atmospheric Science

J. M. Lewis, J. M. Lewis, S. Lakshmivarahan, 2013 .

Chapter 2 Nudging Methods : A Critical Overview

J. M. Lewis, S. Lakshmivarahan, 2018 .

Learning Algorithms for Two-Person Zero-Sum Stochastic Games with Incomplete Information: A Unified Approach

K. Narendra, S. Lakshmivarahan, 1982 .

A learning approach to the two person decentralized team problem with incomplete information

S. Lakshmivarahan, S. Lakshmivarahan, 1981 .

Ensemble Kalman filter

S. Lakshmivarahan, S. Lakshmivarahan, D. Stensrud, 2009, IEEE Control Systems.

The Distribution of the Value of the Firm and Stochastic Interest Rates

S. Lakshmivarahan, Duane R. Stock, S. Qian, 2012 .

PROJECT CRAFT A Real-Time Delivery System for Nexrad Level II Data Via The Internet

K. Droegemeier, S. Lakshmivarahan, D. Jahn, 2007 .

APPLICATION TO METEOROLOGICAL DATA ASSIMILATION

S. Lakshmivarahan, David J. Stensrud, S. Lakshmivarahan, 2009 .

Development of an Automated Classification Procedure for Rainfall Systems

S. Lakshmivarahan, Michael E. Baldwin, John S. Kain, 2005 .

Lagrangian Tracer Dynamics

J. M. Lewis, S. Lakshmivarahan, R. Jabrzemski, 2017 .

A note on the invariants of the Volterra gyrostat and each of its known special cases, and implications for low order models

Ashwin K. Seshadri, S. Lakshmivarahan, 2022, 2204.10353.

Application of the Forward Sensitivity Method to a GWCE-Based Shallow Water Model

S. Lakshmivarahan, R. Kolar, K. Dresback, 2016 .

Role of the Observability Gramian in Parameter Estimation: Application to Nonchaotic and Chaotic Systems via the Forward Sensitivity Method

J. M. Lewis, S. Lakshmivarahan, 2022, Atmosphere.

Invariants and chaos in the Volterra gyrostat without energy conservation

Ashwin K. Seshadri, S. Lakshmivarahan, 2022, 2204.10353.

Connectedness in fuzzy topology

S. Lakshmivarahan, K. S. Raja Sethupathy, S. Lakshmivarahan, 1977, Kybernetika.

On a New Class of Optimal Parallel Prefix Circuits with (Size+Depth) = 2n-2 AND\lceil log n \rceil DEPTH(2 \lceil log n \rceil -3)

S. Lakshmivarahan, Sudarshan K. Dhall, Chi-Ming Yang, 1987, ICPP.

Exhaustive probabilistic neural network for attribute selection and supervised seismic facies classification

Kurt J. Marfurt, Matthew J. Pranter, Sivaramakrishnan Lakshmivarahan, 2021, Interpretation.

Machine-learning classifiers for imbalanced tornado data

S. Lakshmivarahan, T. Trafalis, I. Adrianto, 2013, Computational Management Science.

Forecast Bias Correction: A Second Order Method pdf

S. Lakshmivarahan, Sean Crowell, S. Lakshmivarahan, 2010, ArXiv.

Symmetry in Interconnection Networks Based on Cayley Graphs of Permutation Groups: A Survey

S. Lakshmivarahan, Sudarshan K. Dhall, Jung-Sing Jwo, 1993, Parallel Comput..

Parallel Sorting Algorithms

S. Lakshmivarahan, Sudarshan K. Dhall, Leslie L. Miller, 1984, Adv. Comput..

Forward Sensitivity Approach to Dynamic Data Assimilation

J. M. Lewis, S. Lakshmivarahan, 2010 .

Nudging Methods: A Critical Overview

S. Lakshmivarahan, John M. Lewis, J. M. Lewis, 2013 .

A new class of two stage parallel sorting schemes

S. Lakshmivarahan, J. Cheung, S. Dhall, 1982, ACM '82.

Scalability analysis of large codes using factorial designs

S. Lakshmivarahan, Sudarshan K. Dhall, M. Alabdulkareem, 2001, Parallel Comput..

On a Class of Learning Algorithms with Symmetric Behavior under Success and Failure

S. Lakshmivarahan, Mohammad Reza Meybodi, S. Lakshmivarahan, 1983 .

varepsilon-Optimality of a general class of learning algorithms

S. Lakshmivarahan, Mohammad Reza Meybodi, S. Lakshmivarahan, 1982, Inf. Sci..

On a general class of absorbing-barrier learning algorithms

S. Lakshmivarahan, Dieter Kalin, Ulrich Herkenrath, 1981, Inf. Sci..

Embedding of cycles and grids in star graphs

S. Lakshmivarahan, Sudarshan K. Dhall, Jung-Sing Jwo, 1990, Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing 1990.

Algorithms for Public Key Cryptosystems: Theory and Application

S. Lakshmivarahan, S. Lakshmivarahan, 1983, Adv. Comput..

Assimilation of multiple data sets with the ensemble Kalman filter to improve forecasts of forest carbon dynamics.

Yiqi Luo, Ensheng Weng, Yanfen Zhang, 2011, Ecological applications : a publication of the Ecological Society of America.

An optimal machine learning model for breast lesion classification based on random projection algorithm for feature optimization

Morteza Heidari, Bin Zheng, Gopichandh Danala, 2021, Medical Imaging.

CONSIDERATIONS FOR FUZZIFYING FORMAL LANGUAGES AND SYNTHESIS OF FUZZY GRAMMARS

S. Lakshmivarahan, K. S. Rajasethupathy, S. Lakshmivarahan, 1978 .

Assessment of regional aerosol radiative effects under the SWAAMI campaign – Part 1: Quality-enhanced estimation of columnar aerosol extinction and absorption over the Indian subcontinent

S. Lakshmivarahan, R. Nanjundiah, S. Babu, 2019, Atmospheric Chemistry and Physics.

Assessment of Regional Aerosol Radiative Effects under SWAAMI Campaign – Part 1: Quality-enhanced Estimation of Columnar Aerosol Extinction and Absorption Over the Indian Subcontinent

S. Lakshmivarahan, R. Nanjundiah, K. Krishna Moorthy, 2019 .

Quantification of Forecast Uncertainty and Data Assimilation Using Wiener’s Polynomial Chaos Expansion

J. M. Lewis, S. Lakshmivarahan, Junjun Hu, 2017 .

Supervised seismic facies classification using probabilistic neural networks: Which attributes should the interpreter use?

S. Lakshmivarahan, Kurt J. Marfurt, David Lubo-Robles, 2019, SEG Technical Program Expanded Abstracts 2019.

On the dual advantage of placing observations through forward sensitivity analysis

J. M. Lewis, Shady E. Ahmed, S. Lakshmivarahan, 2023, Proceedings of the Royal Society A.

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

Morteza Heidari, University of Oklahoma, USA, 2020, Comput. Methods Programs Biomed..

8 . 3 VERIFICATION OF MESOSCALE FEATURES IN NWP MODELS

S. Lakshmivarahan, Michael E. Baldwin, John S. Kain, 2001 .

A Structural Model for Optimal Selection of Maturity and Timing of Callable Bond Issuance

S. Lakshmivarahan, Duane R. Stock, S. Qian, 2016, The Journal of Fixed Income.

Analyzing Cost of Debt and Credit Spreads Using a Two Factor Model with Multiple Default Thresholds and Varying Covenant Protection

S. Lakshmivarahan, Duane R. Stock, S. Qian, 2012 .

Parallel computing using the prefix problem

S. Lakshmivarahan, Sudarshan K. Dhall, S. Lakshmivarahan, 1994 .

Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach

S. Lakshmivarahan, T. Eldho, R. Ramsankaran, 2022, Water Resources Research.

Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach

S. Lakshmivarahan, T. Eldho, R. Ramsankaran, 2021, Water Resources Research.

A New Class of Parallel Algorithms for Finding Connected Components on Machines with Bit-Vector Operations

S. Lakshmivarahan, Y. Liang, S.K. Dhall, 1994, Inf. Sci..

Spectral properties of the Cayley Graphs of split metacyclic groups

S. Lakshmivarahan, Kashyap Rajeevsarathy, Siddhartha Sarkar, 2016, 1609.06022.

Ensemble Forecasting of Return Flow over the Gulf of Mexico

S. Lakshmivarahan, John M. Lewis, Richard L. Thompson, 2014, E-Journal of Severe Storms Meteorology.

On the structure of the energy conserving low-order models and their relation to Volterra gyrostat

S. Lakshmivarahan, Yunheng Wang, S. Lakshmivarahan, 2008 .

On the Relation between Energy-Conserving Low-Order Models and a System of Coupled Generalized Volterra Gyrostats with Nonlinear Feedback

S. Lakshmivarahan, Y. Wang, S. Lakshmivarahan, 2008, J. Nonlinear Sci..

Further Analysis of Lorenz’s Maximum Simplification Equations

S. Lakshmivarahan, M. Baldwin, T. Zheng, 2006 .

A novel feature reduction method to improve performance of machine learning model

Morteza Heidari, Bin Zheng, Gopichandh Danala, 2021, Medical Imaging.

A new class of interconnection networks based on alternating group

Jung-Sing Jwo, S. Lakshmivarahan, S. Dhall, 1992, [1992] Proceedings of the Fourth IEEE Symposium on Parallel and Distributed Processing.

Real-Time Prediction Using Kernel Methods and Data Assimilation

S. Lakshmivarahan, Theodore B. Trafalis, Michael B. Richman, 2009 .

Machine-learning classifiers for imbalanced tornado data

S. Lakshmivarahan, Theodore B. Trafalis, Michael B. Richman, 2014, Comput. Manag. Sci..

Machine Learning Classifiers for Tornado Detection: Sensitivity Analysis on Tornado Data Sets

S. Lakshmivarahan, Theodore B. Trafalis, Michael B. Richman, 2006 .

Dynamic Data Assimilation: Synopsis

J. M. Lewis, S. Lakshmivarahan, S. Dhall, 2006 .

Sasaki's Pivotal Contribution: Calculus of Variations Applied to Weather Map Analysis

S. Lakshmivarahan, John M. Lewis, J. M. Lewis, 2008 .

A New Class of Parallel Algorithms for Solving Linear Tridiagonal Systems

S. Lakshmivarahan, Sudarshan K. Dhall, S. Lakshmivarahan, 1986, FJCC.

New Parallel Algorithms for Solving First-Order and Certain Classes of Second-Order Linear Recurrences

S. Lakshmivarahan, Sudarshan K. Dhall, S. Lakshmivarahan, 1985, International Conference on Parallel Processing.

Pathways into data assimilation: illustrative examples

S. Lakshmivarahan, John M. Lewis, Sudarshan Dhall, 2006 .

Cluster Analysis of Multimodel Ensemble Data from SAMEX

S. Lakshmivarahan, David J. Stensrud, Ahmad Alhamed, 2002 .

Probability and Random Processes

S. Lakshmivarahan, V. Krishnan, S. Lakshmivarahan, 2007 .

On the relation between energy conserving low-order models and Hamiltonian systems

S. Lakshmivarahan, Yunheng Wang, S. Lakshmivarahan, 2009 .

Efficient Algorithms for Finding Depth-First and Breadth-First Search Trees in Permutation Graphs

S. Lakshmivarahan, Sudarshan K. Dhall, Y. Daniel Liang, 1994, Inf. Process. Lett..

Forecast Error Correction using Dynamic Data Assimilation

J. M. Lewis, S. Lakshmivarahan, R. Jabrzemski, 2016 .

Effect of data organization in a system of interleaved memories on the performance of parallel search

S. Lakshmivarahan, Sudarshan K. Dhall, S. Lakshmivarahan, 1986, Inf. Sci..

Dynamic Data Assimilation: COMPUTATIONAL TECHNIQUES

S. Lakshmivarahan, John M. Lewis, Sudarshan Dhall, 2006 .

Saltzman’s Model. Part I: Complete Characterization of Solution Properties

J. M. Lewis, S. Lakshmivarahan, Junjun Hu, 2019, Journal of the Atmospheric Sciences.

On Controlling the Shape of the Cost Functional in Dynamic Data Assimilation: Guidelines for Placement of Observations and Application to Saltzman’s Model of Convection

John M. Lewis, Junjun Hu, J. M. Lewis, 2020 .

Routing in a Class of Cayley Graphs of Semidirect Products of Finite Groups

S. Lakshmivarahan, Sudarshan K. Dhall, Fen Lin Wu, 2000, J. Parallel Distributed Comput..

Shortest path routing in a class of Cayley graphs of semi-direct product of finite groups

S. Lakshmivarahan, S. K. Dhall, F.-L. Wu, 1995, Proceedings International Phoenix Conference on Computers and Communications.

Analysis of interconnection networks based on simple Cayley coset graphs

S. Lakshmivarahan, Sudarshan K. Dhall, Jen-Peng Huang, 1993, Proceedings of 1993 5th IEEE Symposium on Parallel and Distributed Processing.

Conditions for a Cayley Coset Graph to Be Simple

S. Lakshmivarahan, S. Dhall, Jen-peng Huang, 1992, A Workshop on Future Directions of Massively Parallel Processing, The New Frontiers.

Power-speed trade-off in parallel prefix circuits

Sudarshan K. Dhall, Sirirut Vanichayobon, John K. Antonio, 2002, SPIE ITCom.

A Question of Adequacy of Observations in Variational Data Assimilation

J. M. Lewis, S. Lakshmivarahan, 2013 .

Cluster Analysis of Multimodel Ensemble Data over New England

S. Lakshmivarahan, David J. Stensrud, Nusrat Yussouf, 2004 .

Pattern Classification Using Stochastic Approximation Techniques

S. Lakshmivarahan, M.A.L. Thathachar, M. Thathachar, 1970, IEEE Transactions on Computers.

Dynamic Data Assimilation: A Least Squares Approach

J. M. Lewis, S. Lakshmivarahan, S. Dhall, 2006 .

Placement of Observations to Correct Return-Flow Forecasts

J. M. Lewis, S. Lakshmivarahan, R. Rabin, 2021, E-Journal of Severe Storms Meteorology.

7B.3 DEVELOPMENT OF AN “EVENTS-ORIENTED” APPROACH TO FORECAST VERIFICATION

S. Lakshmivarahan, Michael E. Baldwin, John S. Kain, 2001 .

Effect of data distribution in data assimilation using Burgers' equation

S. Lakshmivarahan, Sudarshan K. Dhall, John M. Lewis, 1997, SAC '97.

On the concealability of messages by the williams public-key encryption scheme

S. Lakshmivarahan, S. C. Kothari, S. Kothari, 1984 .

On the performance of a direct parallel method for solving separable elliptic equations based on block cyclic reduction

S. Lakshmivarahan, Sudarshan K. Dhall, Kevin Kelleher, 1993, SAC '93.

An Experiment in Hurricane Track Prediction Using Parallel Computing Methods

S. Lakshmivarahan, Sudarshan K. Dhall, John M. Lewis, 1994, Parallel Algorithms Appl..

On the performance of a direct parallel method for solving separable elliptic equations based on block cyclic eduction

S. Lakshmivarahan, S. Dhall, Kevin Kelleher, 1993 .

Optimal non-linear reinforcement schemes for stochastic automata

S. Lakshmivarahan, Mandayam A. L. Thathachar, M. Thathachar, 1972, Inf. Sci..

Minimal chaotic models from the Volterra gyrostat

Ashwin K. Seshadri, S. Lakshmivarahan, 2023, Physica D: Nonlinear Phenomena.

Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification

Hong Liu, Bin Zheng, Morteza Heidari, 2020, IEEE Transactions on Biomedical Engineering.

Project CRAFT network topology and initial analysis of network loads

S. Lakshmivarahan, Yen Soon Low, Kevin Edward Kelleher, 2002 .

Analysis and design of parallel algorithms

S. Lakshmivarahan, S. Lakshmivarahan, 1990 .

Analysis of upper bound in Valiant's model for learning bounded CNF expressions

S. Lakshmivarahan, Shankar Vaidyanathan, S. Lakshmivarahan, 1993, SAC '93.

Learning in multilevel games with incomplete information. I

S. Lakshmivarahan, E. Billard, S. Lakshmivarahan, 1999, IEEE Trans. Syst. Man Cybern. Part B.

Parallel algorithms for ranking of trees

S. Lakshmivarahan, Sudarshan K. Dhall, Y. Daniel Liang, 1990, Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing 1990.