Home  - Pure_And_Applied_Math - Finite Differences

Books Baby Camera Phones Computers Games DVD Electronics Kitchen Magazines Music Garden Software Tools Toys Video Apparel & Accessories Jewelry & Watches Musical Instruments Health & Personal Care Beauty Sports & Outdoors Office Products

e99.com Bookstore

Images

Newsgroups

61-80 of 80    Back | 1  | 2  | 3  | 4

Finite Differences:     more books (100)

A treatise on the calculus of operations: designed to facilitate the processes of the differential and integral calculus and the calculus of finite differences by Robert Carmichael, 2010-08-20 The Elements of the Calculus of Finite Differences: Treated On the Method of Separation of Symbols by James Pearson, 2010-01-01 Inequalities for Finite Difference Equations (Pure and Applied Mathematics) by B.G. Pachpatte, 2001-12-15 Numerical calculus;: Approximations, interpolation, finite differences, numerical integration and curve fitting by William Edmund Milne, 1962 The calculus of finite differences with numerical analysis by H. C Saxena, 1968 Finite Difference Techniques for Vectorized Fluid Dynamics Calculations (Springer Series in Computational Physics) Finite Difference Methods on Irregular Networks (International Series of Numerical Mathematics) by HEINRICH, 1987-01-01 Finite differences for actuarial students by Harry Freeman, 1967 Ocean Acoustic Propagation by Finite Difference Methods by D. Lee, S.T. McDaniel, 1988-08-01 Finite differences and difference equations in the real domain by Tomlinson Fort, 1948 Elements Of Finite Differences: Also Solutions To Questions Set For Part 1 Of The Examinations Of The Institute Of Actuaries (1902) by Joseph Burn, E. H. Brown, 2008-08-18 Numerical Solution of Differential Equations: Finite Difference and Finite Element Solution of the Initial, Boundary and Eigenvalue Problem in the Ma (Computer Science and Applied Mathematics) by Isaac Fried, 1979-06 Finite differences, finite elements and PDE2D by Granville Sewell, 2000 Documentation of a computer program to simulate aquifer-system compaction using the modular finite-difference ground-water flow model (SuDoc I 19.15/5:bk.6/chap.A 2) by S. A. Leake, 1991

lists with details

61. Comparison Of An Implicite Vs. Explicite One-dimensional Finite Differences Prog
    comparison of an implicit vs. explicit onedimensional finite differencesprogram for solving the unsteady heat-flow-equation. The  
    http://www.geomath.onlinehome.de/models/implexpl.html
    
    Extractions: comparison of an implicit vs. explicit one-dimensional finite differences program for solving the unsteady heat-flow-equation The heat-flow equation (without source-term): The input data-file (identical for both programs) The explicit version (Fortran 77 source code) The implict version (Fortran 77 source code) A small programm for comparison of the results (Fortran 77 source code)

62. Atlas: Holistic Finite Differences Accurately Model The Dynamics Of The Kuramoto
    Holistic finite differences accurately model the dynamics of the KuramotoSivashinskyequation presented by Tony MacKenzie University of Southern Queensland  
    http://atlas-conferences.com/c/a/d/r/29.htm
    
    Extractions: Tony Roberts (University of Southern Queensland) We analyse the fourth order nonlinear Kuramoto-Sivashinsky equation to develop an accurate finite difference approximation to its dynamics. The analysis is based upon centre manifold theory so we are assured that the finite difference model accurately models the dynamics and may be constructed systematically. The theory is applied after dividing the physical domain into small elements by introducing insulating internal boundaries which are later removed. The Kuramoto-Sivashinsky equation is used as an example to show how holistic finite differences may be applied to fourth order nonlinear spatio-temporal dynamical systems. This novel centre manifold approach is holistic in the sense that it treats the dynamical equations as a whole, not just as the sum of separate terms. Date received: September 1, 1999

63. Calculus Of Finite Differences
    Top Level Subjects Science Mathematics Analysis Other analyticmethods Calculus of finite differences. Numerical differentiation;  
    http://www.renardus.org/cgi-bin/genDDCbrowseSQL.pl?node=AATDG

64. Cell-centered Finite Differences
    http://www.ticam.utexas.edu/CSM/ACTI/DOE/sld020.htm

65. 2 FINITE DIFFERENCES
    previous up next contents index Previous INTRODUCTION Up CONTENTSNext 2.1 Explicit 2 levels. 2 finite differences. 2.1 Explicit  
    http://pde.fusion.kth.se/SYL/sec2.php3

66. Numerical Analysis Lecture Slides On Finite Differences
    Engineering Mathematics 2 Numerical Analysis.Lecture slides on finite differences.  
    http://www.enm.bris.ac.uk/anm/staff/rew/teaching/numanal/scan4.html

67. P-adic Analysis And The Calculus Of Finite Differences
    Padic analysis and the calculus of finite differences. L. Van Hamme Vrije UniversiteitBrussel Faculteit Toegepaste Wetenschappen Brussels, Belgium. Date  
    http://www-math.sci.kun.nl/p-adic2002/abstracts/vanHamme/vanHamme.html
    
    Extractions: Date: It is well known that the role of the calculus of finite differences is much greater in p-adic analysis than in real or complex analysis. This paper confirms this once again. Our main result is a finite difference expansion for the derivative of an odd C function. The formula is fairly general since it depends on an arbitrary bounded sequence.

68. Ivo Oprsal's Finite Differences -diploma Thesis- Page
    For this thesis, please refer to Ivo Oprsal, 'ELASTIC FINITE DIFFERENCE SCHEMEFOR TOPOGRAPHY MODELS ON IRREGULAR GRIDS', Diploma Thesis, Dept.  
    http://karel.troja.mff.cuni.cz/students/oprsal/geophys/diploma1996/dipl.htm

69. Ivo Oprsal - Finite Differences Compared To FE
    . The results of FDFE (finiteelement finite-differences) hybrid method of Moczoet al. (1997) for the ridge model were kindly provided by J. Kristek (Geophys.  
    http://karel.troja.mff.cuni.cz/students/oprsal/geophys/fd_fdfe/fd_fdfe.htm
    
    Extractions: Comparison of FD and FDFE for topography model: model 00 : v p =2000, v s =0.01 m/s, v p /v s = infinity ( formal ' liquid ridge ' ) model 01 : v p =2000, v s =200 m/s, v p /v s model 02 : v p =2000, v s =300 m/s, v p /v s model 03 : v p =2000, v s =500 m/s, v p /v s model 04 : v p =2000, v s =750 m/s, v p /v s model 05 : v p =2000, v s =1000 m/s, v p /v s model 06 : v p =2000, v s =1153 m/s, v p /v s = 1.73 ( =SQRT(3) ) model 07 : v p =2000, v s =1400 m/s, v p /v s = 1.42 ( This is just formal, not physical value of ratio ! ) The results of FDFE (finite-element finite-differences) hybrid method of Moczo et al. (1997) for the ridge model were kindly provided by J. Kristek (Geophys. Inst., Slovak Academy of Sciences, Bratislava, Slovakia).

70. Robotics Institute: Using Finite-Differences Methods For Approximating The Value
    First, we use a finite differences method for discretizing the HamiltonJacobi-Bellmanequation and obtain a finite Markovian Decision Process.  
    http://www.ri.cmu.edu/pubs/pub_2946.html
    
    Extractions: Abstract This paper presents a reinforcement learning method for solving continuous optimal control problems when the dynamics of the system is unknown. First, we use a Finite Differences method for discretizing the Hamilton-Jacobi-Bellman equation and obtain a finite Markovian Decision Process. This permits us to approximate the value function of the continuous problem with piecewise constant functions defined on a grid. Then we propose to solve this MDP on-line with the available knowledge using a direct and convergent reinforcement learning algorithm, called the Finite-Differences Reinforcement Learning Notes Associated project: Auton Project

71. Multiple Widths Yield Reliable Finite Differences (Computer Vision)
    April 1992 (Vol. 14, No. 4). pp. 412429 Multiple WidthsYield Reliable finite differences (Computer Vision). PDF.  
    http://www.computer.org/tpami/tp1992/i0412abs.htm
    
    Extractions: April 1992 (Vol. 14, No. 4) p p. 412-429 Multiple Widths Yield Reliable Finite Differences (Computer Vision) M.M.  Fleck Index Terms- computer vision; integral equations; faint images; finite difference edge finder; low-amplitude responses; spurious responses; ideal straight step edge; Gaussian smoothing; spatial structure; noise; blurred features; computer vision; integral equations; noise The full text of IEEE Transactions on Pattern Analysis and Machine Intelligence is available to members of the IEEE Computer Society who have an online subscription and a web account

72. Use Of Finite Differences
    Home Course Home Page Up More on Bezier Curves The Use of FiniteDifferences. Producing many points on a curve or on a surface  
    http://www.ece.eps.hw.ac.uk/~dml/cgonline/hyper00/curvesurf/findiff.html

73. Abstract Superconvergent Finite Differences I
    Superconvergent finite differences Applied to Transport Processes. byGF Carey and WF Spotz, 1992 Enhanced Oil and Gas Recovery Research  
    http://www.scd.ucar.edu/css/staff/spotz/papers/EOGRR/abstract92.html
    
    Extractions: Research Annual Report, Austin, TX, April, 1992. A class of finite difference formulations which decrease the magnitude of the truncation error by using the governing differential equations to yield nodal superconvergence are developed. Typically, the increase is from O(h^2) to O(h^4) . This formulation is then applied to the convection diffusion problem for transport processes. An analytic model problem with known solution is studied and theoretical convergence rates are verified to be O(h^4) . Numerical experiments are conducted for representative example problems, which also show a suppresion of artificial oscillations commonly found in central differencing schemes. Last updated February 24, 2000.

74. Recent Contributions To The Calculus Of Finite Differences: A Survey
    Recent Contributions to the Calculus of finite differences A Survey.Reference Recent Contributions to the Calculus of finite differences  
    http://dept-info.labri.u-bordeaux.fr/~loeb/cofd/a.html
    
    Extractions: Recent Contributions to the Calculus of Finite Differences: A Survey, Lecture Notes in Pure and Applied Mathematics , Geometry and Complex Variables, editor: Salvatore Coen, Marcel Dekker 1991, 239276. with Gian-Carlo Rota. (Mathematical Review 93f:39013) We retrace the recent history of the Umbral Calculus. After studying the classic results concerning polynomial sequences of binomial type, we generalize to a certain type of logarithmic series. Finally, we demonstrate numerous typical examples of our theory. This article is avaiable in: LaTeX source code Compressed source Postscript Compressed Postscript ... loeb@sprynet.com Last modified: Thu Nov 16 13:06:56 1995

75. CAU Kiel: Scattering States From Finite Differences
    Scattering states for realistic surfaces with multigrid acceleration.Fig. 1 Image of the charge density in the yz plane at x=0  
    http://www.theo-physik.uni-kiel.de/theo-physik/schattke/pres/mr97_c.html
    
    Extractions: Fig. 1 As a first application a charge-density distribution of such a scattering state is shown in Fig. 1. The interface crystal vacuum, the decay of the wave function into the crystal, and the interference pattern of superimposed waves in the vacuum are clearly visible. The importance of the correct treatment of the potential barrier is illustrated by the strong charge fluctuations in the surface region. It is interesting to see that there are well localized regions of high charge density even at this nonbonding energy. See also: Calculation and physics of scattering states S. Lorenz, C. Solterbeck, W. Schattke, J. Burmeister, and W. Hackbusch, Electron scattering states at solid surfaces calculated with realistic potentials , Phys. Rev. B , 13432 (1997), also available as cond-mat/9702118 S. Lorenz, C. Solterbeck, O. Tiedje, W. Schattke, J. Burmeister, W. Hackbusch, Photoemission final states with realistic surface potentials /1997, p. 900 S. Lorenz

76. Results
    Similar pages PDF1 03P09 INTRODUCTION TO MODELLING LECTURE 1 - FINITE  
    http://portal.acm.org/results.cfm?query=finite differences keyword&coll=por

77. MUG Convert Differential To Finite Differences (12.10.95)
    convert differential to finite differences (12.10.95).  
    http://www-math.math.rwth-aachen.de/MapleAnswers/52.html
    
    Extractions: Maple User Group Answers [Anfang] [Hauptseite] [Suchen] ... [LDFM] convert differential to finite differences (12.10.95) Michel Carignan We have a testing lissence for Maple V Release 3. We want to know if some feature exist to convert the diff Maple operator involving in an expression with a custom one. We are interested in writing an expression involving partial differentials and then to convert all differential operator with the appropriate well know finite differences operator. Does Maple have a package to make finite difference algebra over fonctionel. If not, can you give us some hints to make one. Robert Israel It's quite easy using "subs". Something like this: Herbert Homeier t4720 A complete difference calculus would be very nice. I found the following procedure very useful to compute differences with regard to a global variable "n". (Obviously, one can make improve the procedure Delta to make checks of variable types, etc). It should also be possible to program a version where the difference is taken with respect to a variable chosen at will instead of the global "n". [Anfang] [Hauptseite] [Suchen] [LDFM] Dr. U. Klein

78. Finite Differences
    finite differences. The method of finite differences can sometimesbe used to guess a formula f(n) (but not to prove it). The way  
    http://www.ms.uky.edu/~lee/ma310/tools/node30.html
    
    Extractions: Next: Recursion Up: Tools Previous: Induction The method of finite differences can sometimes be used to guess a formula f n ) (but not to prove it). The way I am about to describe it requires that the values of f n ) be given for integer values of n beginning with n =0 (rather than 1). Let's use the example of guessing the formula for the sum of the cubes of the first n positive integers. We calculate a few values: and then arrange them in a row. Then we build a difference table beneath them by subtraction: We continue generating rows by this process until it appears that we get a row of 0's. This does not always happen, but when it does, we can build a polynomial formula for f n ). Using the first entries in each row, multiply the first entry of the first row by 1/0!, the first entry of the second row by n /1!, the first entry of the third row by n n -1)/2!, the first entry of the fourth row by n n n -2)/3!, the first entry of the fifth row by n n n n -3)/4!, etc., and then add the results. (Remember that 0! is defined to be 1.) In our example, we get which simplifies (you try it!) to

79. FDTD.org Home
    log in! finiteDifference Time-Domain Literature Database the Three-Dimensional finite-Difference Time-Domain Method to Antennas Using the finite-Difference Time-Domain Method, J.  
    http://www.fdtd.org/
    
    Extractions: Comment Page (7 comments to date, last on 2003-03-06 at 03:08) Extending PML Absorbing Boundary Condition to Truncate Microstrip Line in Nonuniform 3-D FDTD Grid , T. Li, W. Sui, and M. Zhou, IEEE Transactions on Microwave Theory and Techniques , vol. 47, no. 9, 1771-1776, September, 1999. (bibkey=li1999a)

80. ENVI2200 Dynamical Systems - Lecture 6
    (1). is the definition of the derivative. 6.2 Recap finitedifference approximations whereDx = x j+1 -x j . 6.3 An example of a finite-difference approximation.  
    http://www.env.leeds.ac.uk/envi2200/lecture6/lecture6.html

61-80 of 80    Back | 1  | 2  | 3  | 4