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Mathematical Analysis Books List Books
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Mathematical Analysis Books List

Mathematical analysis books - list of books about Mathematical analysis includes jacket cover images when applicable. All books on Mathematical analysis are cataloged here alphabetically. This well-researched Mathematical analysis bibliography includes out of print titles and generally contains the most popular, famous, or otherwise notable books. This collection of Mathematical analysis books includes both fiction and non-fiction books about this topic. If you're looking for a list of popular books on Mathematical analysis then you're in the right place.

You should be able to answer the questions "What are the best books about Mathematical analysis?" and "What are the most famous Mathematical analysis books?" with items on this reading list.

Note that this Mathematical analysis book list can be sorted by various information, and most Mathematical analysis books can be bought on Amazon with one easy click. If you want to know more about Mathematical analysis then this list is the perfect resource for finding more books on the subject.

A factual list, featuring items like The Visual Display of Quantitative Information and Spinors and space-time. You can use this list to create a new list, re-rank it to fit your views, then share it on Facebook, Twitter or any other social networks you belong to.
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  1. 1

    Learning Bayesian networks Richard E. Neapolitan

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  2. 2

    Elementary Statistics Using Excel Mario F. Triola

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  3. 3

    Data Structures for Computational Statistics Sigbert Klinke

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    Harmonic Analysis Carl L. Devito

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  5. 5
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    Neural networks in optimization Xiang-Sun Zhang

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  6. 6

    Nonlinear Smoothing and Multiresolution Analysis Carl Rohwer

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  7. 7
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    New ideas in optimization David Corne

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  8. 8
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  9. 9

    Introduction to analysis Arthur Mattuck

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  10. 10
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    Matrix-based Multigrid Yair Shapira

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  11. 11
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    Calculated Bets Steven Skiena

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  12. 12
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    The Design of Innovation David E. Goldberg

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  13. 13
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    Minimax Models in the Theory of Numerical Methods A. Sukharev

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  14. 14

    Using R for Introductory Statistics John Verzani

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  15. 15

    Nonlinear Control Systems Alberto Isidori

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  16. 16

    Statistics with Microsoft Excel Beverly Dretzke

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  17. 17
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    An introduction to OxMetrics 5 Jurgen A. Doornik

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  18. 18

    Lisp-Stat Luke Tierney

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  19. 19
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    The 3-D Global Spatial Data Model Earl F. Burkholder

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  20. 20
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    Assignment problems Rainer E. Burkard

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  21. 21
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    An introduction to Bayesian networks Finn V. Jensen

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  22. 22

    Deterministic Global Optimization Christodoulos A. Floudas

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  23. 23

    Systems analysis and design Alan Dennis

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  24. 24
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    Calculus Donald B. Small

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  25. 25
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    Topological Algebras V.K. Balachandran

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  26. 26
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    Introduction to Differential Equations Richard K. Miller

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  27. 27
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    Applied Fourier Transform Kiyoshi Morita

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  28. 28
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    Nonlinear Systems Ronald R. Mohler

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  29. 29

    Bayesian learning for neural networks Radford M. Neal

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  30. 30

    Bayesian networks and decision graphs Finn V. Jensen

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  31. 31

    Computer-assisted reasoning in cluster analysis E. Backer

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  32. 32

    Bayesian artificial intelligence Kevin B. Korb

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  33. 33

    Fuzzy sets, decision making, and expert systems H.-J Zimmermann

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  34. 34

    Bayesian networks and influence diagrams Uffe B. Kjaerulff

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  35. 35

    The Little SAS Book Lora D. Delwiche

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  36. 36
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  37. 37
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  38. 38
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    Michael Spivak

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  39. 39

    K. D. Stroyan

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  40. 40

    Spectral Methods in MATLAB Lloyd N. Trefethen

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  41. 41

    Symbolic Integration I Manuel Bronstein

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  42. 42

    Solving PDEs in C++ Yair Shapira

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  43. 43

    Paul Blanchard

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  44. 44

    Essentials of Statistics Mario F. Triola

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  45. 45

    Allan G. Bluman

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  46. 46
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  47. 47
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  48. 48
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