Polynomial

Results: 3445



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71Using Polynomial Interpolation with 4nec2 by Duncan Cadd G0UTY It sometimes occurs that in the course of an antenna simulation in 4nec2 it is necessary to include elements with electrical characteristics which must vary

Using Polynomial Interpolation with 4nec2 by Duncan Cadd G0UTY It sometimes occurs that in the course of an antenna simulation in 4nec2 it is necessary to include elements with electrical characteristics which must vary

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Source URL: www.g3ynh.info

- Date: 2018-02-16 19:53:28
    72MAS115: HOMEWORK 4 SAM MARSH 1. Lagrange Interpolation Lagrange interpolation is a method used to fit smooth polynomial curves to sets of points in the plane. Suppose we have n distinct points in the

    MAS115: HOMEWORK 4 SAM MARSH 1. Lagrange Interpolation Lagrange interpolation is a method used to fit smooth polynomial curves to sets of points in the plane. Suppose we have n distinct points in the

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    Source URL: mas115.group.shef.ac.uk

    - Date: 2017-10-31 13:01:20
      73New York Journal of Mathematics New York J. Math–761. Real and imaginary parts of polynomial iterates Julia A. Barnes, Clinton P. Curry

      New York Journal of Mathematics New York J. Math–761. Real and imaginary parts of polynomial iterates Julia A. Barnes, Clinton P. Curry

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      Source URL: nyjm.albany.edu

      - Date: 2010-12-15 19:54:52
        74Polynomial optimization methods for matrix factorization Po-Wei Wang Chun-Liang Li

        Polynomial optimization methods for matrix factorization Po-Wei Wang Chun-Liang Li

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        Source URL: zicokolter.com

        - Date: 2018-03-15 07:15:21
          75New York Journal of Mathematics New York J. Math–761. Real and imaginary parts of polynomial iterates Julia A. Barnes, Clinton P. Curry

          New York Journal of Mathematics New York J. Math–761. Real and imaginary parts of polynomial iterates Julia A. Barnes, Clinton P. Curry

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          Source URL: nyjm.albany.edu

          - Date: 2010-12-15 19:52:37
            76Journal of Machine Learning Research Submitted 5/06; Revised 10/06; Published 3/07 Consistent Feature Selection for Pattern Recognition in Polynomial Time

            Journal of Machine Learning Research Submitted 5/06; Revised 10/06; Published 3/07 Consistent Feature Selection for Pattern Recognition in Polynomial Time

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            Source URL: jmlr.csail.mit.edu

            - Date: 2017-07-22 15:43:13
              77Title stata.com lpoly — Kernel-weighted local polynomial smoothing Syntax Remarks and examples

              Title stata.com lpoly — Kernel-weighted local polynomial smoothing Syntax Remarks and examples

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              Source URL: www.stata.com

              - Date: 2014-12-10 18:57:12
                78Wellfounded Trees and Dependent Polynomial Functors Nicola Gambino? and Martin Hyland Department of Pure Mathematics and Mathematical Statistics University of Cambridge {N.Gambino,M.Hyland}@dpmms.cam.ac.uk

                Wellfounded Trees and Dependent Polynomial Functors Nicola Gambino? and Martin Hyland Department of Pure Mathematics and Mathematical Statistics University of Cambridge {N.Gambino,M.Hyland}@dpmms.cam.ac.uk

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                Source URL: www1.maths.leeds.ac.uk

                - Date: 2013-05-09 12:24:00
                  79Can you turn a polynomial equation into a three-dimensional shape? The shape in purple is a polygonal approximation of the filled Julia set of the polynomial equation f(x)=x2+¼. The shape in blue is the “cap” that,

                  Can you turn a polynomial equation into a three-dimensional shape? The shape in purple is a polygonal approximation of the filled Julia set of the polynomial equation f(x)=x2+¼. The shape in blue is the “cap” that,

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                  Source URL: simonsfoundation.s3.amazonaws.com

                  - Date: 2017-01-04 16:41:30
                    80SFB 823 “Linear” fully modified OLS estimation of cointegrating polynomial regressions

                    SFB 823 “Linear” fully modified OLS estimation of cointegrating polynomial regressions

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                    Source URL: www.statistik.tu-dortmund.de

                    - Date: 2016-11-15 02:17:14