Chandrika Kamath
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Chandrika Kamath
Chandrika Kamath is a computer scientist and data scientist whose research involves information extraction from scientific data, including methods of digital image processing, video processing, dimension reduction, and feature extraction. Educated in India and the US, she works as a researcher at the Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory. Education and career Kamath is a 1981 graduate of IIT Bombay, where she earned a bachelor's degree in electrical engineering. She studied computer science at the University of Illinois Urbana-Champaign, earned a master's degree there in 1984, and completed her Ph.D. in 1986. After working in the computer industry, including software engineering for the Digital Equipment Corporation, she joined the Lawrence Livermore National Laboratory in 1997. There, her research interests shifted from parallel algorithms for numerical computing to her current focus on scientific data mining. At LLNL, she is th ...
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Numerical Computing
Numerical analysis is the study of algorithms that use numerical approximation (as opposed to symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics). It is the study of numerical methods that attempt to find approximate solutions of problems rather than the exact ones. Numerical analysis finds application in all fields of engineering and the physical sciences, and in the 21st century also the life and social sciences like economics, medicine, business and even the arts. Current growth in computing power has enabled the use of more complex numerical analysis, providing detailed and realistic mathematical models in science and engineering. Examples of numerical analysis include: ordinary differential equations as found in celestial mechanics (predicting the motions of planets, stars and galaxies), numerical linear algebra in data analysis, and stochastic differential equations and Markov chains for simulating living cells in me ...
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