Books on the topic 'Least squares algorithm'

Karr, C. L. Genetic algorithm applied to least squares curve fitting. Washington, D.C: U.S. Dept. of the Interior, Bureau of Mines, 1990.

Billings, S. A. Rational model identification using an extended least squares algorithm. Sheffield: University of Sheffield, Dept. of Control Engineering, 1990.

Mao, K. Z. A regularized least squares algorithm for nonlinear rational model identification. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1996.

Canada. Defence Research Establishment Atlantic. Least Squares Algorithm For Fitting Piecewise Linear Functions on Fixed Domains. S.l: s.n, 1985.

Gould, N. I. M. A multidimensional filter algorithm for nonlinear equation and nonlinear least squares. Chilton: Rutherford Appleton Laboratory, 2003.

Billings, S. A. Identification of nonlinear output-affine systems using an orthogonal least squares algorithm. Sheffield: University, Dept. of Control Engineering, 1987.

Luo, W. The relationship between an orthogonal estimation algorithm and other least squares routines. Sheffield: University, Dept. of Control Engineering, 1988.

Billings, S. A. Radial basis function network configuration using mutual information and the orthogonal least squares algorithm. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1995.

Tobia, John. A time-varying analysis of the exponentially data weighted recursive least squares (EDW-RLS) algorithm. Ottawa: National Library of Canada, 1992.

missing], [name. Least squares support vector machines. Singapore: World Scientific, 2002.

Franke, Richard H. Repeated knots in least squares multiquadric functions. Monterey, Calif: Naval Postgraduate School, 1994.

Skoglund, Ingegerd. Algorithms for a partially regularized least squares problem. Linköping: Linköpings universitet, 2007.

Wagner, Kevin, and Miloš Doroslovački. Proportionate-Type Normalized Least Mean Square Algorithms. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118579558.

Pavarino, Luca F. Domain decomposition algorithms for first-order system least squares methods. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1996.

Colvin, Tim R. Photogrammetric algorithms and software for spacecraft optical immaging systems. Santa Monica, Ca: Rand, 1992.

Billings, S. A. Orthogonal least squares parameter estimation algorithms for nonlinear stochastic systems. Sheffield: University of Sheffield, Dept. of Control Engineering, 1990.

Proudler, I. K. QR decomposition based algorithms and architectures for least-squares adaptive filtering. [London: Controller of Her Britannic Majesty's Stationery Office, 1992.

Finite algorithms in optimization and data analysis. Chichester: Wiley, 1985.

Huffel, Sabine. Total Least Squares and Errors-in-Variables Modeling: Analysis, Algorithms and Applications. Dordrecht: Springer Netherlands, 2002.

name, No. Total least squares and errors-in-variables modeling: Analysis, algorithms and applications. Dordrecht: Kluwer Academic, 2001.

United States. National Telecommunications and Information Administration., ed. An iterated nested least-squares algorithm for fitting multiple data sets. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2002.

United States. National Telecommunications and Information Administration., ed. An iterated nested least-squares algorithm for fitting multiple data sets. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2002.

United States. National Telecommunications and Information Administration., ed. An iterated nested least-squares algorithm for fitting multiple data sets. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2002.

On recursive least-squares filtering algorithms and implementations. Los Angeles: University of California, 1990.

United States. National Aeronautics and Space Administration., ed. On recursive least-squares filtering algorithms and implementations. Los Angeles: University of California, 1990.

United States. National Aeronautics and Space Administration., ed. On recursive least-squares filtering algorithms and implementations. Los Angeles: University of California, 1990.

Wagner, Kevin, and Milos Doroslovacki. Proportionate-Type Normalized Least Mean Square Algorithms. Wiley & Sons, Incorporated, John, 2013.

Wagner, Kevin, and Milos Doroslovacki. Proportionate-Type Normalized Least Mean Square Algorithms. Wiley & Sons, Incorporated, John, 2013.

Least squares support vector machines. River Edge, NJ: World Scientific, 2002.

Vandewalle, Joos, Bart De Moor, Tony Van Gestel, Jos De Brabanter, and Johan A. K. Suykens. Least Squares Support Vector Machines. World Scientific Publishing Company, 2003.

(Editor), S. van Huffel, and P. Lemmerling (Editor), eds. Total Least Squares and Errors-in-Variables Modeling: Analysis, Algorithms and Applications. Springer, 2002.

van, Huffel Sabine, and Lemmerling Philippe, eds. Total least squares and errors-in-variables modeling: Analysis, algorithms and applications. Dordrecht: Kluwer Academic, 2002.

Toplis, Blake Stephen. Tracking, adaptability and stability modifications for fast recursive least squares algorithms. 1987.

P, Roe Kevin, Inman D. J, and Institute for Computer Applications in Science and Engineering., eds. Computational issues in damping identification for large scale problems. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.

Multilabel Dimensionality Reduction. CRC Press, 2012.

Gautschi, Walter. Orthogonal Polynomials. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780198506720.001.0001.

Land surface temperature measurements form EOS MODIS data: Semi-annual report ... for July - December, 1996, contract number: NAS5-31370. [Washington, DC: National Aeronautics and Space Administration, 1996.

Sayed, Ali H., Thomas Kailath, and Babak Hassibi. Linear Estimation. Prentice Hall, 2000.

Sayed, Ali H., Thomas Kailath, and Babak Hassibi. Linear Estimation. Prentice Hall, 2000.