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Approximations Expansions:     more books (94)

Discrete Hamiltonian Systems: Difference Equations, Continued Fractions, and Riccati Equations (Texts in the Mathematical Sciences) by Calvin Ahlbrandt, A.C. Peterson, 2010-11-02 Parametric Continuation and Optimal Parametrization in Applied Mathematics and Mechanics by V.I. Shalashilin, E. B. Kuznetsov, 2010-11-02 Number Theory: Tradition and Modernization (Developments in Mathematics) Geometric Properties for Incomplete Data (Computational Imaging and Vision) Recent Progress in Inequalities (Mathematics and Its Applications) Non-Connected Convexities and Applications (Applied Optimization) by G. Cristescu, L. Lupsa, 2002-05-31 Wavelets in Signal and Image Analysis: From Theory to Practice (Computational Imaging and Vision) Variational Theory of Splines by Anatoly Yu. Bezhaev, Vladimir A. Vasilenko, 2010-11-02 Summability of Multi-Dimensional Fourier Series and Hardy Spaces (Mathematics and Its Applications) by Ferenc Weisz, 2002-03-31 Developments and Applications of Block Toeplitz Iterative Solvers (Combinatorics and Computer Science) by Xiao-Qing Jin, 2010-11-02 Orthogonal Polynomials and Special Functions: Computation and Applications (Lecture Notes in Mathematics) (Volume 0) Walsh Equiconvergence of Complex Interpolating Polynomials (Springer Monographs in Mathematics) by Amnon Jakimovski, Ambikeshwar Sharma, et all 2010-11-02 Explorations in Harmonic Analysis: With Applications to Complex Function Theory and the Heisenberg Group (Applied and Numerical Harmonic Analysis) by Steven G. Krantz, 2009-05-05 Theory and Applications of Special Functions: A Volume Dedicated to Mizan Rahman (Developments in Mathematics)

lists with details

61. Unit Description: M.Sci/M.Sc.Asymptotics
    if they converge very slowly. Instead, asymptotic expansions can yieldgood approximations. They are typically divergent if summed  
    http://www.maths.bris.ac.uk/~madhg/unitinfo/current/l4_units/asympt.htm
    
    Extractions: Texts and Syllabus Unit number and title: MATH 44700 Asymptotics Level: 4 (also available for M.Sc. students) Credit point value: 20 credit points Year: First Given: Lecturer/organiser: Dr. M. Sieber Semester: 1 (weeks 1-12) Timetable: Tuesday 12.10, Thursday 10.00, Friday 10:00. Prerequisites: MATH 30800 Mathematical Methods , and MATH 33000 Complex Function Theory , but if MATH 20900 Calculus 2 was taken in 2001-2, then Complex Function Theory is not required. This unit aims to enhance students' ability to solve the type of equations that arise from applications of mathematics to natural and technological problems by giving a grounding in perturbation techniques. Emphasis is placed on methods of developing asymptotic solutions. For most equations that arise in modelling applications it is unlikely that exact solutions can be found. Even convergent series approximations are often not available, or they are of limited use if they converge very slowly. Instead, asymptotic expansions can yield good approximations. They are typically divergent if summed to infinity but a few terms can often give excellent and well defined approximations.

62. Contents Page
    3 Finding polynomial approximations by Taylor expansions 3.1 Taylor polynomials(near x = 0) 3.2 Taylor series about zero 3.3 Taylor polynomials (near x = a  
    http://physics.open.ac.uk/flap/schools/M4_5cl.html

63. List KWIC DDC22 510 And MSC+ZDM E-N Lexical Connection
    discrete 49M25 approximations methods of successive 49Mxx approximations smooth57R12 approximations and expansions 511.4 approximations and expansions 41  
    http://www.math.unipd.it/~biblio/kwic/msc-cdd/dml2_11_04.htm

64. Document Sans Titre
    Historical Remarks Distribution of R in Nonnormal Populations and Robustness Tablesand approximations (Asymptotic expansions) _Tables _approximations  
    http://www.mnhn.fr/mnhn/lop/BIBLIO/OUTI/JOHN_KOTZ.html

65. Analysis Research Group, Univ. Of Calgary
    behavior. approximations and expansions. Alex Brudnyi. 41A17, 46Jxx. Inequalities algebras;.approximations and expansions. Len Bos. 41A30, 41A05. Numerical  
    http://www.math.ucalgary.ca/~cunning/analysis.html
    
    Extractions: Research at the Department of Mathematics Research category Researcher AMS subject classification Research topics Several complex variables and analytic spaces Alex Brudnyi Complex manifolds; Other spaces of holomorphic functions (e.g. bounded mean oscillation, vanishing mean oscillation); Plurisubharmonic functions and generalizations. Several complex variables and analytic spaces Len Bos Real-analytic manifolds, real-analytic spaces. Differential equations Paul Binding Sturm-Liouville theory; Boundary value problems for second-order, elliptic equations; Boundary value problems for higher-order, elliptic equations; General spectral theory of PDE. Differential equations Igov V. Nikolaev Location of integral curves, singular points, limit cycles; Structural stability and analogous concepts Differential equations Kok Wah Chang Singular perturbations, general theory; Nonlinear boundary value problems Differential equations Peter Lancaster Stability theory; Lyapunov stability; Nonlinear equations and systems, general Differential equations W.E. Couch

66. A General Theorem In The Theory Of Asymptotic Expansions As Approximations To Th
    Author(s) Phillips, Peter C B Abstract No abstract available  
    http://netec.wustl.edu/WoPEc/data/Articles/ecmemetrpv:45:y:1977:i:6:p:1517-34.ht
    
    Extractions: mirrored in Providing the latest research results since 1993 Search tips: title=fiscal or author=levine Working Papers Series Journals Authors JEL Classification ... Econometrica >> A General Theorem in the Theory of Asymptotic Expansions as Approximations to the Finite Sample Distributions of Econometric Estimators.

67. DLMF: §AI.20(ii) Expansions In Chebyshev Series
    AI.20(ii) expansions in Chebyshev Series About §AI.20(ii). These expansionsare for real arguments and are supplied in sets of four  
    http://dlmf.nist.gov/Contents/AI/AI.20_ii.html
    
    Extractions: AI.20(ii) Expansions in Chebyshev Series These expansions are for real arguments and are supplied in sets of four for each function, corresponding to intervals . The constants and are chosen numerically, with a view to equalizing the effort required for summing the series in each of the four cases. The notation 8S, or 8D, signifies 8 significant figures, or decimal digits, respectively.

68. EEVL | Mathematics Section | Subject Classification A To Z
    manifolds; Applications to science and engineering; approximations andexpansions; Argentina Maths Departments and Institutions; Associative  
    http://www.eevl.ac.uk/mathematics/atozmaths.htm
    
    Extractions: A B C D ... Z A Algebraic geometry Algebraic structures - go to Order, lattices, ordered algebraic structures Algebraic systems - go to General algebraic systems Algebraic topology Algebras - go to Associative rings and algebras Algebras - go to Commutative rings and algebras Analysis Analysis on manifolds - go to Global analysis, analysis on manifolds Applications to science and engineering Approximations and expansions Argentina Maths Departments and Institutions ... Associative rings and algebras Astronomy (applications to) - go to Astronomy and astrophysics Astrophysics (applications to) - go to Astronomy and astrophysics Australia Maths Departments and Institutions [top] B Barbados Maths Departments and Institutions Behavioural sciences (applications to) - go to Game theory, economics, social and behavioural sciences

69. Personal
    10. Uniform approximations of Bernoulli and Euler polynomials in terms of hyperbolic Asymptoticexpansions of the Whittaker functions for large order parameter  
    http://www.unavarra.es/personal/jl_lopez/

70. Publications
    With Bente Clausen. 1994. {Saddlepoint approximations, Edgeworth expansionsand normal approximations from independence to dependence.} Memoirs No.  
    http://home.imf.au.dk/jlj/publikation.html

71. Binomial Distribution
    IV. approximations to Normal Distribution. Consider a series of binomialexpansions with increasing powers (0 to 4), as presented below.  
    http://www.visualstatistics.us/hotheobinomial.htm
    
    Extractions: A coin toss is an example of a binary event. There are only two possible outcomes (a head or a tail) on each trial and the probability of each outcome is .5. The two probabilities add up to 1.0. All Possible Outcomes The number of possible outcomes, n, is given by the equation where k denotes the number of determinants and the base 2 stands for two mutually exclusive outcomes associated with each determinant. Toss a coin one time: k = 1 For one determinant, there are two possible outcomes. Probability of Each Unique Outcome Number of Heads Frequency and Proportion Probabilities Associated with the Pascal's Triangle Visualization Binomial Distribution for One Determinant Note that the abscissa for the binomial distribution is a discrete variable. All Possible Outcomes There are 4 possible outcomes: 2*2 = 4 Probability of Each Unique Outcome

72. Citation
    2 2. RN Bhattacharya and NH Chan, Comparisons of chisquare, Edgeworth expansionsand bootstrap approximations to the distribution of the frequency chisquare  
    http://portal.acm.org/citation.cfm?id=603419&coll=portal&dl=ACM&CFID=11111111&CF

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