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         Approximations Expansions:     more books (26)
  1. A Unified Approach to Uniqueness, Expansion and Approximation Problems by Chiu-Cheng Chang, 1994-11
  2. Normal Approximation and Asymptotic Expansions (Probability & Mathematical Statistics) by Rabindranath Bhattacharya, Ramaswamy Ranga Rao, 1976-05
  3. Asymptotic Approximation of Integrals (Classics in Applied Mathematics) by R. Wong, 2001-08-01
  4. Constructive Approximation: An International Journal for Approximations and Expansions (Vol. 10, No. 4, 1994)
  5. Approximation methods and orthogonal expansions: Abstracts of the International Conference on Approximation Methods and Orthogonal Expansions, Kaariku, ... 60th birthday of Professor Gennadi Vainikko
  6. Multipliers for (C, a)-bounded Fourier expansions in Banach spaces and approximation theory (Lecture notes in mathematics 329) by Walter Trebels, 1973
  7. Mathematical Approximation of Special Functions: Ten Papers on Chebyshev Expansions by Geza Nemeth, 1992-05
  8. Series Approximation Methods in Statistics (Lecture Notes in Statistics) by John E. Kolassa, 2006-04-28
  9. Principles of Applied Mathematics: Transformation and Approximation (Advanced Book Program) by James P. Keener, 2000-02-01
  10. Macroscopic Transport Equations for Rarefied Gas Flows: Approximation Methods in Kinetic Theory (Interaction of Mechanics and Mathematics) by Henning Struchtrup, 2005-07-22
  11. Analysis II: Convex Analysis and Approximation Theory (Encyclopaedia of Mathematical Sciences)
  12. Dimensionality Reducing Expansion of Multivariate Integration by Tian-Xiao He, 2001-03-30
  13. The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models [An article from: Journal of Econometrics] by M.J.G. Bun, J.F. Kiviet, 2006-06-01
  14. The effects of dynamic feedbacks on LS and MM estimator accuracy in [An article from: Journal of Econometrics] by M.J.G. Bun, J.F. Kiviet, 2006-06-01

41. EconPapers: Stochastic Expansions And Asymptotic Approximations
By Michael A Magdalinos; Stochastic expansions and Asymptotic approximations.
http://econpapers.repec.org/article/cupetheor/v_3A8_3Ay_3A1992_3Ai_3A3_3Ap_3A343
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Stochastic Expansions and Asymptotic Approximations
Michael A Magdalinos Econometric Theory , 1992, vol. 8, issue 3, pages 343-67 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title. Access Statistics for this article More articles in Econometric Theory from Cambridge University Press
Address: The Edinburgh Building, Shaftesbury Road, Cambridge CB2 2RU UK
Series data maintained by Christopher F. Baum ( This site is part of RePEc and all the data displayed here is part of the RePEc data set. Is your work missing from RePEc? Here is how to contribute Questions or problems? Check the EconPapers FAQ or send mail to Econpapers is hosted by the Department of Business, Economics, Statistics and Informatics at –rebro University. Page updated 2005-06-17 Handle: RePEc:cup:etheor:v:8:y:1992:i:3:p:343-67

42. Asymptotic Expansions For The Laplace Approximations Of Sums Of Banach Space-val
Asymptotic expansions for the Laplace approximations of sums of Banach spacevaluedrandom variables. Source Ann. Probab. 33, no. 1 (2005), 300–336
http://dx.doi.org/10.1214/009117904000001017
Current Issue Past Issues Search this Journal Editorial Board ... Other IMS and IMS Related Journals Sergio Albeverio and Song Liang
Asymptotic expansions for the Laplace approximations of sums of Banach space-valued random variables
Source: Ann. Probab. Abstract:
Let X i i N , be i.i.d. B -valued random variables, where B B into R . An asymptotic evaluation of Z n E (exp( n i n X i n ))), up to a factor (1+ o (1)), has been gotten in Bolthausen [ Probab. Theory Related Fields Probab. Theory Related Fields Z n as n Primary Subjects:
Keywords:
Laplace approximation; asymptotic expansions; i.i.d. random vectors; Banach space-valued random variables; Full-text: Access denied (no subscription detected) We're sorry, but we are unable to provide you with the full text of this article because we are not able to identify you as a subscriber.
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Euclid Identifier: euclid.aop/1108141728

43. Cookies Required
Scalar multipole expansions have been widely used in many areas of physics asgeneral approximations and expansions . Mathematical methods in physics .
http://dx.doi.org/10.1063/1.333885
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    44. Chebyshev Expansions - Curves - Math Library For C# And VB.NET: BLAS, LAPACK, Mo
    NET supports Chebyshev approximations through the the ChebyshevSeries class. Using Chebyshev expansions outside of this interval is usually not
    http://www.extremeoptimization.com/Mathematics/UsersGuide/Curves/ChebyshevExpans
    Extreme Optimization Mathematics Library for .NET User's Guide Curves Extreme Optimization Mathematics Library for .NET
    User's Guide
    Up Curves Next Piecewise Curves and Cubic Splines Previous Polynomials Table of Contents
    Chebyshev Expansions
    Chebyshev polynomials form a special class of polynomials whose properties make them especially suited for approximating other functions. As such, they form an essential part of any numerical library. The Extreme Optimization Mathematics Library for .NET supports Chebyshev approximations through the the ChebyshevSeries class.
    The ChebyshevSeries class
    A Chebyshev expansion is a linear combination of Chebyshev polynomials. The Chebyshev polynomials are never formed explicitly. All calculations can be performed using only the coefficients. The Chebyshev polynomials provide an alternate basis for representating general polynomials. Two characteristics make Chebyshev polynomials especially attractive. They are mutually orthogonal, and there exists a simple recurrence relation between consecutive polynomials. Chebyshev polynomials are defined over the interval [-1, 1]. Using Chebyshev expansions outside of this interval is usually not meaningful and is to be avoided. To allow expansions over any finite interval, transformations are applied wherever necessary.

    45. Browse MSC2000
    approximations and expansions not classified at a more specific level Asymptotic approximations, asymptotic expansions steepest descent, etc.
    http://www.zblmath.fiz-karlsruhe.de/MATH/msc/zbl/msc/2000/41-XX/dir
    Contact Search Browse Instructions ... Main Changes 70th anniversary Zentralblatt MATH Home Facts and Figures Partners and Projects Subscription
    Service Database Gateway Database Mirrors Reviewer Service Classification ... Serials and Journals database
    Miscellanea Links to the Mathematical World
    Display Text version Printer friendly page Internal Browse MSC2000 - by section and classification
    TOP
    MSC2000 - Mathematics Subject Classification Scheme 41-XX Approximations and expansions [For all approximation theory in the complex domain, see and ; for all trigonometric approximation and interpolation, see and ; for numerical approximation, see
    Classification Topic X-ref General reference works handbooks, dictionaries, bibliographies, etc.
    Instructional exposition textbooks, tutorial papers, etc.
    Research exposition monographs, survey articles
    Historical must also be assigned at least one classification number from Section 01
    Explicit machine computation and programs not the theory of computation or programming
    Proceedings, conferences, collections, etc.

    46. Browse MSC2000
    Section 41XX approximations and expansions For all approximation theory 41A60 Asymptotic approximations, asymptotic expansions steepest descent, etc.
    http://www.zblmath.fiz-karlsruhe.de/MATH/text/msc/zbl/msc/2000/41-XX/dir
    ZENTRALBLATT MATH
    Home Facts and Figures Partners and Projects Subscription ... Graphical Version of this page.
    Browse MSC2000 - by section and classification
    Search Browse the MSC2000 by Classification]-[ Instructions for using the classification]-[ Main Changes from MSC1991 to MSC2000] TOP MSC2000 - Mathematics Subject Classification Scheme
    Section: 41-XX Approximations and expansions [For all approximation theory in the complex domain, see and ; for all trigonometric approximation and interpolation, see and ; for numerical approximation, see
    41-00 General reference works handbooks, dictionaries, bibliographies, etc.
    41-01 Instructional exposition textbooks, tutorial papers, etc.
    41-02 Research exposition monographs, survey articles

    47. [41Xxx] --  Approximations And Expansions
    41Xxx approximations and expansions. 41A17 . Inequalities inapproximation (Bernstein, Jackson, Nikolprime skiitype inequalities). 41A21
    http://jipam-old.vu.edu.au/subj_classf/41Xxx.htm
    Approximations and Expansions Inequalities in approximation (Bernstein, Jackson, Nikolprime skii-type inequalities) Padé approximation Rate of convergence, degree of approximation Approximation by other special function classes Best approximation, Chebyshev systems Approximate quadratures Miscellaneous topics Editors R.P. Agarwal
    G. Anastassiou
    T. Ando
    H. Araki
    A.G. Babenko
    D. Bainov
    N.S. Barnett
    H. Bor
    J. Borwein
    P.S. Bullen
    P. Cerone S.H. Cheng L. Debnath S.S. Dragomir N. Elezovic A.M. Fink A. Fiorenza T. Furuta L. Gajek H. Gauchman C. Giordano F. Hansen D. Hinton A. Laforgia L. Leindler C.-K. Li L. Losonczi A. Lupas R. Mathias T. Mills G.V. Milovanovic R.N. Mohapatra B. Mond M.Z. Nashed C.P. Niculescu I. Olkin B. Opic B. Pachpatte Z. Pales C.E.M. Pearce J. Pecaric L.-E. Persson L. Pick I. Pressman S. Puntanen F. Qi A.G. Ramm T.M. Rassias A. Rubinov S. Saitoh J. Sandor S.P. Singh A. Sofo H.M. Srivastava K.B. Stolarsky G.P.H. Styan L. Toth R. Verma F. Zhang School of Communications and Informatics Victoria University of Technology JIPAM is published by the School of Communications and Informatics which is part of the Faculty of Engineering and Science , located in Melbourne, Australia. All correspondence should be directed to the

    48. Numerical Approximations Using Chebyshev Polynomial Expansions
    Numerical approximations using Chebyshev polynomial expansions Elgendi s methodrevisited. Bogdan Mihaila1 and Ioana Mihaila2
    http://www.iop.org/EJ/S/UNREG/abstract/0305-4470/35/3/317
    @import url(http://ej.iop.org/style/nu/EJ.css); Quick guide Site map Athens login IOP login: Password:
    Create account
    Alerts Contact us Journals Home ... This issue B Mihaila et al J. Phys. A: Math. Gen.
    Numerical approximations using Chebyshev polynomial expansions: El-gendi's method revisited
    Bogdan Mihaila and Ioana Mihaila
    Physics Division, Argonne National Laboratory, Argonne, IL 60439, USA
    Department of Mathematics and Statistics, Coastal Carolina University, Conway, SC 29528-6054, USA
    E-mail: bogdan@theory.phy.anl.gov Received 12 July 2001, in final form 6 November 2001
    Published 11 January 2002
    Print publication: Issue 3 (25 January 2002) Abstract. We present numerical solutions for differential equations by expanding the unknown function in terms of Chebyshev polynomials and solving a system of linear equations directly for the values of the function at the extrema (or zeros) of the Chebyshev polynomial of order N (El-gendi's method). The solutions are exact at these points, apart from round-off computer errors and the convergence of other numerical methods used in solving the linear system of equations. Applications to initial value problems in time-dependent quantum field theory, and second-order boundary value problems in fluid dynamics are presented. PACS numbers: 02.70.-c, 02.30.Mv, 02.60.Jh, 02.60.Nm, 02.60.Lj, 02.70.Bf

    49. Laplace Approximations For Hypergeometric Functions With Matrix Argument, Roland
    In this paper we present Laplace approximations for two functions of Asy mptotic expansions for distributions of latent roots in multivariate analysis.
    http://projecteuclid.org/Dienst/UI/1.0/Display/euclid.aos/1031689021
    Current Issue Past Issues Search this Journal Editorial Board ... Other IMS and IMS Related Journals Roland W. Butler and Andrew T. A. Wood
    Laplace approximations for hypergeometric functions with matrix argument
    Source: Ann. Statist. Abstract: References Primary Subjects:
    Seconday Subjects:
    Keywords: Full-text: Open access Download the full-text in the following format:
    PDF (194 KB)
    Euclid Identifier: euclid.aos/1031689021
    Digital Object Identifier (DOI): 10.1214/aos/1031689021
    Mathmatical Reviews number (MathSciNet):
    Zentralblatt Math Identifier: To Table of Contents for this Issue
    References
    ABRAMOWITZ, M. and STEGUN, I. A. (1972). Handbook of Mathematical Functions, 9th ed. Dover, New York. BAGCHI, P. and KADANE, J. B. (1991). Laplace approximations to posterior moments and marginal distributions on circles, spheres, and cy linders. Canad. J. Statist. 19 67-77. Mathematical Reviews: BARNDORFF-NIELSEN, O. E. and WOOD, A. T. A. (1998). On large deviations and choice of ancillary for p and r . Bernoulli 4 35-63. Mathematical Reviews: BINGHAM, C., CHANG, T. and RICHARDS, D. (1992). Approximating the matrix Fisher and Bingham distributions: applications to spherical regression and Procrustes analysis. J. Multivariate Anal. 41 314-337.

    50. [math/0503601] Asymptotic Expansions For The Laplace Approximations Of Sums Of B
    Asymptotic expansions for the Laplace approximations of sums of Banach spacevaluedrandom variables. Authors Sergio Albeverio, Song Liang
    http://arxiv.org/abs/math/0503601
    Mathematics, abstract
    math.PR/0503601
    From: Sergio Albeverio [ view email ] Date: Fri, 25 Mar 2005 14:37:45 GMT (125kb,S)
    Asymptotic expansions for the Laplace approximations of sums of Banach space-valued random variables
    Authors: Sergio Albeverio Song Liang
    Comments: Published at this http URL in the Annals of Probability ( this http URL ) by the Institute of Mathematical Statistics ( this http URL
    Report-no: IMS-AOP-AOP299
    Subj-class: Probability
    MSC-class: 62E20, 60F10, 60B12. (Primary)
    Journal-ref: Annals of Probability 2005, Vol. 33, No. 1, 300-336
    DOI:
    Full-text: PostScript PDF , or Other formats
    References and citations for this submission:
    CiteBase
    (autonomous citation navigation and analysis) Which authors of this paper are endorsers?
    Links to: arXiv math find abs

    51. [physics/9901005] Numerical Approximations Using Chebyshev Polynomial Expansions
    Numerical approximations Using Chebyshev Polynomial expansions. Authors BogdanMihaila, Ioana Mihaila Comments minor wording changes, some typos have been
    http://arxiv.org/abs/physics/9901005
    Physics, abstract
    physics/9901005
    From: Bogdan Mihaila [ view email ] Date ( ): Thu, 7 Jan 1999 17:19:43 GMT (27kb) Date (revised ): Wed, 11 Jul 2001 22:30:03 GMT (124kb) Date (revised v3): Wed, 31 Oct 2001 21:16:05 GMT (253kb)
    Numerical Approximations Using Chebyshev Polynomial Expansions
    Authors: Bogdan Mihaila Ioana Mihaila
    Comments: minor wording changes, some typos have been eliminated
    Subj-class: Computational Physics
    Journal-ref: J. Phys. A: Math. Gen. 35, 731 (2002)
    We present numerical solutions for differential equations by expanding the unknown function in terms of Chebyshev polynomials and solving a system of linear equations directly for the values of the function at the extrema (or zeros) of the Chebyshev polynomial of order N (El-gendi's method). The solutions are exact at these points, apart from round-off computer errors and the convergence of other numerical methods used in connection to solving the linear system of equations. Applications to initial value problems in time-dependent quantum field theory, and second order boundary value problems in fluid dynamics are presented.
    Full-text: PostScript PDF , or Other formats
    References and citations for this submission:
    CiteBase
    (autonomous citation navigation and analysis) Which authors of this paper are endorsers?

    52. Warning Main(../prefs.php) Failed To Open Stream No Such File
    expansions for approximations. The expansion of a function fx in powers of (x b) as a file of polynomials with higher and higher orders of contact with
    http://www.distancecalculus.com/courses/calcIII.php
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    Calculus III
    (Series)
    Detailed Syllabus
    Mathematics
    • Remarkable plots explained by order of contact. Splining for smoothness at the knots.
    • The expansion of a function f[x] in powers of x as a file of polynomials with higher and higher orders of contact with f[x] at x = 0.
    • The expansions every literate calculus person knows (1/(1 - x), ex, sin[x] and cos[x]).
    • Expansions for approximations.
    • The expansion of a function f[x] in powers of (x - b) as a file of polynomials with higher and higher orders of contact with f[x] at x = b.
    • Newton's method.
    • Multiplying and dividing expansions.
    • Using expansions to help to calculate limits at a point.
    • Expansions and the complex exponential function. Using expansions to help to get precise estimates of some integrals.

    Science and Math Experience
    • Experiments geared at discovering that the smoother the transition from one curve to another at a knot, the better both curves approximate each other near the knot.

    53. Citebase - Numerical Approximations Using Chebyshev Polynomial Expansions
    Numerical approximations Using Chebyshev Polynomial expansions. Authors Mihaila,Bogdan; Mihaila, Ioana. We present numerical solutions for differential
    http://citebase.eprints.org/cgi-bin/citations?id=oai:arXiv.org:physics/9901005

    54. Entrez PubMed
    The subject of this paper is the construction of the exponential asymptoticexpansions of the unstab
    http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=1

    55. MSC91
    41XX approximations and expansions, {For all approximation theory in the 41A60 Asymptotic approximations, asymptotic expansions (steepest descent, etc.
    http://bieson.ub.uni-bielefeld.de/opus/msc_ebene2.php?zahl=41&anzahl=0

    56. 1 Introduction
    Included in Stage (ii) are expansions in series of Chebyshev polynomials or rational approximations, or truncated Chebyshevseries expansions; see,
    http://math.nist.gov/mcsd/Reports/2001/nesf/node2.html
    Next: 2 Mathematical Developments Up: Numerical Evaluation of Special Previous: Contents
    1 Introduction
    continues to be one of the best-selling mathematical books of all time The purpose of the present paper is to provide some assistance to those mathematicians, engineers, scientists, and statisticians who discover that they need to generate numerical values of the special functions in the course of solving their problems. ``Generate'' is the operative word here: we are thinking primarily of either software or numerical approximations that can be programmed fairly easily. Numerical tables are not covered in this survey. Furthermore, for the most part we shall concentrate on the functions themselves; only in certain cases do we include, for example, zeros, inverse functions or indefinite integrals. Elementary functions, also, are excluded . Lastly, we believe that the majority of readers would prefer us to emphasize the more useful algorithms rather than make an attempt to be encyclopedic: algorithms or approximations that have clearly been superseded are omitted. We identify three stages in the development of computational procedures for the special functions:
  • Derivation of relevant mathematical properties.
  • 57. The Mathematica Book Online: Mathematica Reference Guide | Some Notes On Interna
    FilledSmallCircle Bessel functions use series and asymptotic expansions. method starting from rational approximations and asymptotic expansions.
    http://documents.wolfram.com/mathematica/book/section-A.9.4
    PreloadImages('/common/images2003/btn_products_over.gif','/common/images2003/btn_purchasing_over.gif','/common/images2003/btn_services_over.gif','/common/images2003/btn_new_over.gif','/common/images2003/btn_company_over.gif','/common/images2003/btn_webresource_over.gif'); Mathematica Documentation All Documentation All of wolfram.com The Mathematica Book Online Mathematica Reference Guide ... Some Notes on Internal Implementation
    A.9.4 Numerical and Related Functions
    Number representation and numerical evaluation
    Large integers and high-precision approximate numbers are stored as arrays of base or digits, depending on the lengths of machine integers. Precision is internally maintained as a floating-point number. IntegerDigits RealDigits and related base conversion functions use recursive divide-and-conquer algorithms. Similar algorithms are used for number input and output. N uses an adaptive procedure to increase its internal working precision in order to achieve whatever overall precision is requested. Floor Ceiling and related functions use an adaptive procedure similar to N to generate exact results from exact input.

    58. Numerical And Related Functions
    FilledSmallCircle PolyLog uses EulerMaclaurin summation, expansions in terms of method starting from rational approximations and asymptotic expansions.
    http://documents.wolfram.com/v5/TheMathematicaBook/MathematicaReferenceGuide/Som
    PreloadImages('/common/images2003/btn_products_over.gif','/common/images2003/btn_purchasing_over.gif','/common/images2003/btn_services_over.gif','/common/images2003/btn_new_over.gif','/common/images2003/btn_company_over.gif','/common/images2003/btn_webresource_over.gif'); Mathematica 5 Documentation All of Documentation Center All of wolfram.com Documentation Mathematica The Mathematica Book Mathematica ... Some Notes on Internal Implementation A.9.4 Numerical and Related Functions Number representation and numerical evaluation Large integers and high-precision approximate numbers are stored as arrays of base or digits, depending on the lengths of machine integers. Precision is internally maintained as a floating-point number. IntegerDigits RealDigits and related base conversion functions use recursive divide-and-conquer algorithms. Similar algorithms are used for number input and output. N uses an adaptive procedure to increase its internal working precision in order to achieve whatever overall precision is requested. Floor Ceiling and related functions use an adaptive procedure similar to N to generate exact results from exact input.

    59. Personal
    Asymptotic approximations of integrals The term by term integration method. Asymptotic expansions of the Whittaker functions for large order parameter.
    http://www.unavarra.es/personal/jl_lopez/
    Curriculum
    Professor of Mathematics Education Degree in Physics, 1990 . University of Zaragoza.
    Ph. Degree in Physics, 1995. University of Zaragoza.
    Degree in Mathematics, 1997 . University of Zaragoza.
    Employment History University of Zaragoza, 1995-1999. Associate Professor.
    State University of Navarra, 1999-present. Full Professor.
    Research Interests Asymptotic Approximation of Integrals.
    Analytical Aspects of Special Functions.
    Singular Perturbation Problems: Asymptotic Approximation.
    Limit Cycles of Dynamical Systems.
    Recent Publications (since 1998) 1. Several Series containing Gamma and Polygamma Functions. J. Comp. Appl. Math. 90 (1998) 15-23. 3. A family of multiple integrals analytically solvable. Appl. Math. Lett. 12 (1999) 119- 125. 4. The Whittaker function M as a function of k. Const. Approx. 15 (1998) 83-95. With J. Sesma

    60. Handbook Of Mathematical Functions With Formulas, Graphs, And
    9.7 Asymptotic expansions 9.8 Polynomial approximations Kelvin Functions 9.10 Asymptotic expansions 9.11 Polynomial approximations Numerical Methods
    http://www.knovel.com/knovel2/Toc.jsp?BookID=528

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