Numerical analysis (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Numerical analysis" in English language version.

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24books.google.com

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archive.org

Higham 2002 Higham, Nicholas J. (2002) [1996]. Accuracy and Stability of Numerical Algorithms. Society for Industrial and Applied Mathematics. ISBN 0-89871-355-2.
Strang, G.; Fix, G.J. (2018) [1973]. An analysis of the finite element method (2nd ed.). Wellesley-Cambridge Press. ISBN 9780980232783. OCLC 1145780513.
Maeder, R.E. (1997). Programming in mathematica (3rd ed.). Addison-Wesley. ISBN 9780201854497. OCLC 1311056676.

arquivo.pt

Comparison of mathematical programs for data analysis Archived 18 May 2016 at the Portuguese Web Archive Stefan Steinhaus, ScientificWeb.com

arxiv.org

Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B. (1 January 2017). "Julia: A Fresh Approach to Numerical Computing". SIAM Review. 59 (1): 65–98. arXiv:1411.1607. doi:10.1137/141000671. hdl:1721.1/110125. ISSN 0036-1445. S2CID 13026838.

auckland.ac.nz

stat.auckland.ac.nz

Ihaka, R.; Gentleman, R. (1996). "R: a language for data analysis and graphics" (PDF). Journal of Computational and Graphical Statistics. 5 (3): 299–314. doi:10.1080/10618600.1996.10474713. S2CID 60206680.

books.google.com

Trefethen, Lloyd; Bau III, David (1997). Numerical Linear Algebra. SIAM. ISBN 978-0-89871-361-9.
Brezinski, C.; Wuytack, L. (2012). Numerical analysis: Historical developments in the 20th century. Elsevier. ISBN 978-0-444-59858-5.
Stephen Blyth. "An Introduction to Quantitative Finance". 2013. page VII.
Bultheel, Adhemar; Cools, Ronald, eds. (2010). The Birth of Numerical Analysis. Vol. 10. World Scientific. ISBN 978-981-283-625-0.
Saad, Y. (2003). Iterative methods for sparse linear systems. SIAM. ISBN 978-0-89871-534-7.
Hageman, L.A.; Young, D.M. (2012). Applied iterative methods (2nd ed.). Courier Corporation. ISBN 978-0-8284-0312-2.
Traub, J.F. (1982). Iterative methods for the solution of equations (2nd ed.). American Mathematical Society. ISBN 978-0-8284-0312-2.
Greenbaum, A. (1997). Iterative methods for solving linear systems. SIAM. ISBN 978-0-89871-396-1.
Brezinski, C.; Zaglia, M.R. (2013). Extrapolation methods: theory and practice. Elsevier. ISBN 978-0-08-050622-7.
Ezquerro Fernández, J.A.; Hernández Verón, M.Á. (2017). Newton's method: An updated approach of Kantorovich's theory. Birkhäuser. ISBN 978-3-319-55976-6.
Deuflhard, Peter (2006). Newton Methods for Nonlinear Problems. Affine Invariance and Adaptive Algorithms. Computational Mathematics. Vol. 35 (2nd ed.). Springer. ISBN 978-3-540-21099-3.
Davis, P.J.; Rabinowitz, P. (2007). Methods of numerical integration. Courier Corporation. ISBN 978-0-486-45339-2.
Iserles, A. (2009). A first course in the numerical analysis of differential equations (2nd ed.). Cambridge University Press. ISBN 978-0-521-73490-5.
Ames, W.F. (2014). Numerical methods for partial differential equations (3rd ed.). Academic Press. ISBN 978-0-08-057130-0.
Johnson, C. (2012). Numerical solution of partial differential equations by the finite element method. Courier Corporation. ISBN 978-0-486-46900-3.
Brenner, S.; Scott, R. (2013). The mathematical theory of finite element methods (2nd ed.). Springer. ISBN 978-1-4757-3658-8.
Strikwerda, J.C. (2004). Finite difference schemes and partial differential equations (2nd ed.). SIAM. ISBN 978-0-89871-793-8.
LeVeque, Randall (2002). Finite Volume Methods for Hyperbolic Problems. Cambridge University Press. ISBN 978-1-139-43418-8.
Quarteroni, A.; Saleri, F.; Gervasio, P. (2014). Scientific computing with MATLAB and Octave (4th ed.). Springer. ISBN 978-3-642-45367-0.
Gander, W.; Hrebicek, J., eds. (2011). Solving problems in scientific computing using Maple and Matlab®. Springer. ISBN 978-3-642-18873-2.
Gumley, L.E. (2001). Practical IDL programming. Elsevier. ISBN 978-0-08-051444-4.
Thanki, R.M.; Kothari, A.M. (2019). Digital image processing using SCILAB. Springer. ISBN 978-3-319-89533-8.
Wolfram, Stephen (1999). The MATHEMATICA® book, version 4. Cambridge University Press. ISBN 9781579550042.
Marasco, A.; Romano, A. (2001). Scientific Computing with Mathematica: Mathematical Problems for Ordinary Differential Equations. Springer. ISBN 978-0-8176-4205-1.

core.ac.uk

Watson, G.A. (2010). "The history and development of numerical analysis in Scotland: a personal perspective" (PDF). The Birth of Numerical Analysis. World Scientific. pp. 161–177. ISBN 9789814469456.

doi.org

Demmel, J.W. (1997). Applied numerical linear algebra. SIAM. doi:10.1137/1.9781611971446. ISBN 978-1-61197-144-6.
Hestenes, Magnus R.; Stiefel, Eduard (December 1952). "Methods of Conjugate Gradients for Solving Linear Systems" (PDF). Journal of Research of the National Bureau of Standards. 49 (6): 409–. doi:10.6028/jres.049.044.
Geweke, John (1996). "15. Monte carlo simulation and numerical integration". Handbook of Computational Economics. Vol. 1. Elsevier. pp. 731–800. doi:10.1016/S1574-0021(96)01017-9. ISBN 9780444898579.
Ihaka, R.; Gentleman, R. (1996). "R: a language for data analysis and graphics" (PDF). Journal of Computational and Graphical Statistics. 5 (3): 299–314. doi:10.1080/10618600.1996.10474713. S2CID 60206680.
Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B. (1 January 2017). "Julia: A Fresh Approach to Numerical Computing". SIAM Review. 59 (1): 65–98. arXiv:1411.1607. doi:10.1137/141000671. hdl:1721.1/110125. ISSN 0036-1445. S2CID 13026838.

gbv.de

Shaw, W.T.; Tigg, J. (1993). Applied Mathematica: getting started, getting it done (PDF). Addison-Wesley. ISBN 978-0-201-54217-2. OCLC 28149048.

handle.net

hdl.handle.net

Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B. (1 January 2017). "Julia: A Fresh Approach to Numerical Computing". SIAM Review. 59 (1): 65–98. arXiv:1411.1607. doi:10.1137/141000671. hdl:1721.1/110125. ISSN 0036-1445. S2CID 13026838.

nist.gov

nvlpubs.nist.gov

Hestenes, Magnus R.; Stiefel, Eduard (December 1952). "Methods of Conjugate Gradients for Solving Linear Systems" (PDF). Journal of Research of the National Bureau of Standards. 49 (6): 409–. doi:10.6028/jres.049.044.

redwoods.cc.ca.us

online.redwoods.cc.ca.us

Ogden, C.J.; Huff, T. (1997). "The Singular Value Decomposition and Its Applications in Image Compression" (PDF). Math 45. College of the Redwoods. Archived from the original (PDF) on 25 September 2006.

sciencedirect.com

Geweke, John (1996). "15. Monte carlo simulation and numerical integration". Handbook of Computational Economics. Vol. 1. Elsevier. pp. 731–800. doi:10.1016/S1574-0021(96)01017-9. ISBN 9780444898579.

scientificweb.com

Comparison of mathematical programs for data analysis Archived 18 May 2016 at the Portuguese Web Archive Stefan Steinhaus, ScientificWeb.com

sciviews.org

Speed comparison of various number crunching packages Archived 5 October 2006 at the Wayback Machine

semanticscholar.org

api.semanticscholar.org

Ihaka, R.; Gentleman, R. (1996). "R: a language for data analysis and graphics" (PDF). Journal of Computational and Graphical Statistics. 5 (3): 299–314. doi:10.1080/10618600.1996.10474713. S2CID 60206680.
Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B. (1 January 2017). "Julia: A Fresh Approach to Numerical Computing". SIAM Review. 59 (1): 65–98. arXiv:1411.1607. doi:10.1137/141000671. hdl:1721.1/110125. ISSN 0036-1445. S2CID 13026838.

siam.org

epubs.siam.org

Demmel, J.W. (1997). Applied numerical linear algebra. SIAM. doi:10.1137/1.9781611971446. ISBN 978-1-61197-144-6.
Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B. (1 January 2017). "Julia: A Fresh Approach to Numerical Computing". SIAM Review. 59 (1): 65–98. arXiv:1411.1607. doi:10.1137/141000671. hdl:1721.1/110125. ISSN 0036-1445. S2CID 13026838.

stlawu.edu

it.stlawu.edu

"Photograph, illustration, and description of the root(2) tablet from the Yale Babylonian Collection". Archived from the original on 13 August 2012. Retrieved 2 October 2006.

web.archive.org

"Photograph, illustration, and description of the root(2) tablet from the Yale Babylonian Collection". Archived from the original on 13 August 2012. Retrieved 2 October 2006.
Ogden, C.J.; Huff, T. (1997). "The Singular Value Decomposition and Its Applications in Image Compression" (PDF). Math 45. College of the Redwoods. Archived from the original (PDF) on 25 September 2006.
Speed comparison of various number crunching packages Archived 5 October 2006 at the Wayback Machine

wolfram.com

mathworld.wolfram.com

Weisstein, Eric W. "Gaussian Quadrature". MathWorld.

worldcat.org

search.worldcat.org

Ciarlet, P.G.; Miara, B.; Thomas, J.M. (1989). Introduction to numerical linear algebra and optimization. Cambridge University Press. ISBN 9780521327886. OCLC 877155729.
Strang, G.; Fix, G.J. (2018) [1973]. An analysis of the finite element method (2nd ed.). Wellesley-Cambridge Press. ISBN 9780980232783. OCLC 1145780513.
Barnes, B.; Fulford, G.R. (2011). Mathematical modelling with case studies: a differential equations approach using Maple and MATLAB (2nd ed.). CRC Press. ISBN 978-1-4200-8350-7. OCLC 1058138488.
Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B. (1 January 2017). "Julia: A Fresh Approach to Numerical Computing". SIAM Review. 59 (1): 65–98. arXiv:1411.1607. doi:10.1137/141000671. hdl:1721.1/110125. ISSN 0036-1445. S2CID 13026838.
Maeder, R.E. (1997). Programming in mathematica (3rd ed.). Addison-Wesley. ISBN 9780201854497. OCLC 1311056676.
Shaw, W.T.; Tigg, J. (1993). Applied Mathematica: getting started, getting it done (PDF). Addison-Wesley. ISBN 978-0-201-54217-2. OCLC 28149048.