Geometry.Net - the online learning center
Home  - Pure_And_Applied_Math - Differential Equations
e99.com Bookstore
  
Images 
Newsgroups
Page 6     101-120 of 180    Back | 1  | 2  | 3  | 4  | 5  | 6  | 7  | 8  | 9  | Next 20

         Differential Equations:     more books (100)
  1. Differential Equations Problem Solver (Problem Solvers) by The Staff of REA, David R. Arterburn, et all 1998
  2. Differential Equations with Boundary Value Problems (2nd Edition) by John Polking, Al Boggess, et all 2005-08-07
  3. Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations by Uri M. Ascher, Linda R. Petzold, 1998-07-31
  4. Elementary Differential Equations Bound with IDE CD Package (2nd Edition) by Werner E. Kohler, Lee W. Johnson, 2005-10-08
  5. Handbook of Differential Equations, Third Edition by Daniel Zwillinger, 1998-01-15
  6. Applied Partial Differential Equations (Undergraduate Texts in Mathematics) by J. David Logan, 2004-05-11
  7. A Second Course in Elementary Differential Equations (Dover Books on Mathematics) by Paul Waltman, 2004-03-23
  8. Differential Equations, Mathematica Technology Resource Manual: A Modeling Perspective by Robert L. Borrelli, Courtney S. Coleman, 2004-01-14
  9. Differential Equations (McGraw-Hill International Editions) by George F. Simmons, 1991-10-01
  10. Numerical Solution of Partial Differential Equations: Finite Difference Methods (Oxford Applied Mathematics & Computing Science Series) by G. D. Smith, 1986-01-16
  11. Introduction to Partial Differential Equations. Second Edition by Gerald B. Folland, 1995-10-15
  12. Introduction to Partial Differential Equations with MATLAB by Jeffery M. Cooper, 2000-11-01
  13. Modeling Differential Equations in Biology by Clifford Taubes, 2008-02-29
  14. Stochastic Ordinary and Stochastic Partial Differential Equations: Transition from Microscopic to Macroscopic Equations (Stochastic Modelling and Applied Probability) by Peter Kotelenez, 2007-12-17

101. Geometry & Analysis: Lecture Notes
A book by Dahlberg and Kenig in postscript (bitmapped fonts). The page also contains another book by Dahlberg Icke Linj 228;ra Evolutionsekvationer (Swedish).
http://www.math.chalmers.se/Math/Research/GeometryAnalysis/Lecturenotes/
Dept of Mathematics Research
Lecture Notes
  • Björn E.J. Dahlberg and Carlos E. Kenig, Harmonic Analysis and Partial Differential Equations Postscript version
  • Vilhelm Adolfsson, Luis Escauriaza and Carlos Kenig, Unique Continuation of Harmonic Functions at the Boundary
  • Björn E.J. Dahlberg, Icke Linjära Evolutionsekvationer Postscript version , Swedish)

102. Education PowerTools - Differential Equations - Maple Application Center - Maple
Lesson 1 Introduction to differential equations in Maple Rating, October, 2003, Douglas Meade Lesson 2 Separable Equations
http://www.maplesoft.com/applications/app_center_browse.aspx?CID=14&SCID=120

103. COMSOL - Multiphysics Modeling
commercial A powerful interactive environment for modeling and solving scientific and engineering problems involving partial differential equations.
http://www.femlab.com/
> Create Account > Login SEARCH Products Events Training Support ... Model Gallery
User Presentations Register by October 4th ...
  • FEMLAB Conference 2005 Choose server Europe North America Worldwide offices Denmark Finland France Germany Netherlands Norway Sweden Switzerland United Kingdom United States Other... Search comsol.com:
    Trademarks
    Email this page Print this page
  • 104. 35: Partial Differential Equations
    Like ordinary differential equations, partial differential equations are For numerical solutions of Partial differential equations (including mesh
    http://www.math.niu.edu/~rusin/known-math/index/35-XX.html
    Search Subject Index MathMap Tour ... Help! ABOUT: Introduction History Related areas Subfields
    POINTERS: Texts Software Web links Selected topics here
    35: Partial differential equations
    Introduction
    Like ordinary differential equations, partial differential equations are equations to be solved in which the unknown element is a function, but in PDEs the function is one of several variables, and so of course the known information relates the function and its partial derivatives with respect to the several variables. Again, one generally looks for qualitative statements about the solution. For example, in many cases, solutions exist only if some of the parameters lie in a specific set (say, the set of integers). Various broad families of PDE's admit general statements about the behaviour of their solutions. This area has a long-standing close relationship with the physical sciences, especially physics, thermodynamics, and quantum mechanics: for many of the topics in the field, the origins of the problem and the qualitative nature of the solutions are best understood by describing the corresponding result in physics, as we shall do below. Roughly corresponding to the initial values in an ODE problem, PDEs are usually solved in the presence of

    105. Visual Mathematical Physics
    Collection of animated gif pictures describing the solutions of the main partial differential equations such as Laplace, Poisson, string and membrane oscillations and heat conduction.
    http://www.isir.minsk.by/eng/educ/mathphys/

    106. 34: Ordinary Differential Equations
    Ordinary differential equations are equations to be solved in which the unknown There are many important classes of differential equations for which
    http://www.math.niu.edu/~rusin/known-math/index/34-XX.html
    Search Subject Index MathMap Tour ... Help! ABOUT: Introduction History Related areas Subfields
    POINTERS: Texts Software Web links Selected topics here
    34: Ordinary differential equations
    Introduction
    Ordinary differential equations are equations to be solved in which the unknown element is a function, rather than a number, and in which the known information relates that function to its derivatives. Few such equations admit an explicit answer, but there is a wealth of qualitative information describing the solutions and their dependence on the defining equation. There are many important classes of differential equations for which detailed information is available. Applications to engineering and the sciences abound. Numerical solutions are actively studied.
    History
    Applications and related fields
    Note that every indefinite integration problem is really an example of a differential equation, so the entirety of section 28: Integration and Measure is subsumed in this section in principle. The solutions to many classic differential equations, particularly linear second-order differential equations, cannot be expressed in terms of the elementary functions but are themselves studied in 33: Special Functions . This includes Bessel functions, Whittaker functions, Airy functions, and so on.

    107. PSIDE Home Page
    Code for solving implicit differential equations on shared memory parallel computers, by Jacques J.B. de Swart, Walter M. Lioen, and Wolter A. van der Veen.
    http://www.cwi.nl/archive/projects/PSIDE/
    Purpose
    PSIDE - Parallel Software for Implicit Differential Equations - is a Fortran 77 code for solving implicit differential equations on shared memory parallel computers.
    Authors
    Jacques J.B. de Swart Walter M. Lioen , and Wolter A. van der Veen
    CWI
    , P.O. Box 94079, 1090 GB Amsterdam, The Netherlands
    Obtaining PSIDE
    The current version of PSIDE is 1.3 (November 25, 1998). PSIDE consists of the following files
    user.ps.gz or user.pdf
    PSIDE Users' Guide
    (gzipped PostScript and PDF version, respectively)
    pside.f
    The Fortran 77 source of PSIDE
    cacm423.f
    For PSIDE's linear algebra we chose to use LAPACK. However, if you do *not* have available on your system both
    • a machine tuned LAPACK, and
    • a machine optimized BLAS
    we suggest you use these replacement routines instead of the portable LAPACK implementation. Of course the latter will work, however, it may give much worse performance.
    vdpol.f
    an example driver for the Van der Pol problem, an ODE of dimension 2
    (as given in the PSIDE Users' Guide)
    pendul.f

    108. Electronic Journal Of Differential Equations

    http://ejde.math.unt.edu/
    Your browser does not seem to support frames. Please go to the plain version

    109. Yuri Safarov Home Page
    King's College London. Online book covers eigenvalues in partial differential equations. Other publications cover basic, real and Fourier analysis. In pdf format.
    http://www.mth.kcl.ac.uk/~ysafarov/
    Professor Yuri Safarov
    Department of Mathematics
    King's College London
    Strand, London WC2R 2LS
    United Kingdom
    Telephone:
    Fax:
    Email: ysafarov
    mth.kcl.ac.uk
    Book
    Other publications
    Lectures
    Links ...
    LMS Durham Symposium 1996 (photo)
    Updated 7 February 2005

    110. MIT OpenCourseWare | Mathematics | 18.03 Differential Equations, Spring 2004 | H
    Study of ordinary differential equations, including modeling of physical problems and interpretation of their solutions. Standard solution methods for
    http://ocw.mit.edu/OcwWeb/Mathematics/18-03Spring2004/CourseHome/
    skip to content
    Search
    Advanced Search
    • Course Home Syllabus Calendar ... Differential Equations, Spring 2004
      18.03 Differential Equations, Spring 2004
      Linear Phase Portraits Mathlet from the d'Arbeloff Interactive Math Project. (Image courtesy of Hu Hohn and Prof. Haynes Miller.)
      Highlights of this Course
      This course includes lecture notes assignments problems for group work in recitation , and a full set of lecture videos
      Course Description
      Differential Equations are the language in which the laws of nature are expressed. Understanding properties of solutions of differential equations is fundamental to much of contemporary science and engineering. Ordinary differential equations (ODE's) deal with functions of one variable, which can often be thought of as time. Topics include: Solution of first-order ODE's by analytical, graphical and numerical methods; Linear ODE's, especially second order with constant coefficients; Undetermined coefficients and variation of parameters; Sinusoidal and exponential signals: oscillations, damping, resonance; Complex numbers and exponentials; Fourier series, periodic solutions; Delta functions, convolution, and Laplace transform methods; Matrix and first order linear systems: eigenvalues and eigenvectors; and Non-linear autonomous systems: critical point analysis and phase plane diagrams.
      Staff
      Instructors:
      Prof. Haynes Miller

    111. Math Shop Review Questions
    Review quizzes for calculus, differential equations, linear algebra and other advanced math fields.
    http://www.math.ucla.edu/~ronmiech/
    !DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2//EN">
    Pic 20
    Java Applets Calculus 131A Problems Exam 1, Math 31A, Oct 24, 2002 Sample Final 31A
    Questions or comments? Send them to rjm@math.ucla.edu

    112. MIT OpenCourseWare | Mathematics | 18.03 Differential Equations, Spring 2004 | V
    MIT OpenCourseWare » Mathematics » differential equations, Spring 2004 illustrations using Volterra s equation and principle.
    http://ocw.mit.edu/OcwWeb/Mathematics/18-03Spring2004/VideoLectures/
    skip to content
    Search
    Advanced Search

    113. Paul's Online Math Notes
    Covers the basic materials for algebra, calculus, and differential equations. Includes examples, review questions, common errors, study tips and formula tables(PDF). Materials are available for download.
    http://tutorial.math.lamar.edu/
    Paul's Online Math Notes Welcome to my online math tutorials and notes. The intent of this site is to provide a complete set of online (and downloadable) notes and/or tutorials for classes that I teach here at Lamar University . I've tried to write the notes/tutorials in such a way that they should be accessible to anyone wanting to learn the subject regardless of whether you are in my classes or not. In other words, they do not assume that you've had prior classes here at Lamar University, they instead assume nothing more than a good working background that is required for anyone to learn the subject. The assumptions about your background that I've made are given with each description below. New! I've put a series of Calculus cheat sheets online. They cover most of the material from Calculus I and a small amount of material from Calculus II. I plan on extending them to all of Calculus II and Calculus III when I get the chance. I'd like to thank Fred J. for all the typos that he's found and sent my way! I've tried to proof read these pages and catch as many typos as I could, however it just isn't possible to catch all of them when you are also the person who wrote the material. Fred has caught quite a few typos that I'd missed. Thanks again Fred! If you are one of my current students and are here looking for homework assignments I've got a set of links that will get you to the right pages listed here At present I've gotten the notes/tutorials for my Algebra (Math 1314), Calculus I (Math 2413), Calculus II (Math 2414), Calculus III (Math 2415), Linear Algebra (Math 2318) and Differential Equations (Math 3401) class online.

    114. IngentaConnect Publication: Journal Of Differential Equations
    Journal of differential equations. ISSN 00220396 visit publication homepage Journal of differential equations logo Academic Press logo
    http://www.ingentaconnect.com/content/ap/de

    115. IVP Software By Francesca Mazzia And Felice Iavernaro
    The code GAM numerically solves solves first order ordinary differential equations, either stiff or nonstiff in the form y'=f(x,y), with a given initial condition. The code GAMD is a generalization of GAM for the solution of Differential Algebraic Equations of index less than or equal to 3 in the form M y' = f(x,y), with a given initial condition. By Francesca Mazzia.
    http://pitagora.dm.uniba.it/~mazzia/ode/readme.html
    Software for Initial Value Problems
    The code GAM numerically solves solves first order ordinary differential equations, either stiff or nonstiff in the form y'=f(x,y), with a given initial condition. The code GAMD is a generalization of GAM for the solution of Differential Algebraic Equations of index less than or equal to 3 in the form M y' = f(x,y), with a given initial condition. The methods used in both codes are in the class of Boundary Value Methods (BVMs), namely the Generalized Adams Methods (GAMs) of order 3,5,7,9 with step size control
    References
    F.IAVERNARO, F.MAZZIA, Block-Boundary Value Methods for the solution of Ordinary Differential Equation. Siam J. Sci. Comput. 21 (1) (1999) 323339. Full paper. F.IAVERNARO, F.MAZZIA, Solving Ordinary Differential Equations by Generalized Adams Methods: properties and implementation techniques, proceedings of NUMDIFF8, Appl. Num. Math. 28 (2-4) (1998) 107-126. Full paper.

    116. SAM - International Conference On Differential Equations From
    International Conference on differential equations From Theory to Computational Science and Engineering. On the Occasion of Rolf Jeltsch s 60th Birthday
    http://www.sam.math.ethz.ch/rolf60
    Find Us About Us People at SAM Contact ... Help Search Research Reports Projects ETH Zurich ... Contact
    International Conference on Differential Equations: From Theory to Computational Science and Engineering
    On the Occasion of Rolf Jeltsch's 60th Birthday
    October 20-22, 2005 ETH Zurich, Switzerland  
    Keynote speakers
    • Constantine Dafermos, Brown University, USA Peter Deuflhard, Konrad-Zuse-Zentrum f¼r Informationstechnik Berlin, Germany Bj¶rn Engquist, University of Texas, Austin, USA Moshe Goldberg, Technion, Israel Martin Gr¶tschel, Konrad-Zuse-Zentrum f¼r Informationstechnik Berlin, Germany Wilfred van Gunsteren, ETH-Zurich, Switzerland Barbara Keyfitz, The Fields Institute, Ontario, Canada Rupert Klein, Potsdam Institut for Climate Impact Research, Potsdam, Germany Egon Krause, RWTH-Aachen, Germany Heinz Kreiss, University of California, Los Angeles, USA Olavi Nevanlinna, Helsinki University of Technology, Finland James Sethian, University of California, Berkeley, USA Ian Sloan, University of New South Wales, Australia Eitan Tadmor, University of Maryland, College Park, USA

    117. Research Group: Computational Fluid Dynamics, Mathematical Modeling & Numerical
    The focus of this group is to find numerical solutions of differential equations coming from several areas of applications, as for example. Participants are from various universities in the US and Europe.
    http://www.ime.usp.br/~roma/research/workgroup.htm
    Computational Fluid Dynamics, Mathematical Modeling Numerical Methods
    GOALS
    The research group has as its main goals:
    • To integrate its participant members through joint research, departing from common interests in Computational Fluid Mechanics, Mathematical Modeling and Numerical Methods. To cooperate in the teaching load of graduate courses, supervision of dissertations and thesis, allowing for a solid background development for the undergraduate and graduate students. To estimulate the exchange of ideas with other research groups and institutions, from inside and outside of the University of Sao Paulo, and to collaborate for the diffusion of the scientific knowledge, to cooperate for the projects and other specialized services.

    PARTICIPANT MEMBERS Currently, this research group has six researchers, about one third of the Applied Mathematics Department

    118. Public Codes -- Scott R. Fulton
    Fortran 77 codes to solve partial differential equations via the multigrid method.
    http://people.clarkson.edu/~fulton/codes/
    Public Computer Codes
    Scott R. Fulton
    This page lists various computer codes which I have written and people have occasionally requested. They are made available on an "as-is" basis, with no promise of suitability, correctness, quality, or support. If you find them useful, I'd appreciate hearing about it. You may use them as part of your work, but if you publish anything based on them, please acknowledge the source. Thanks.
    Multigrid Control Package
    This is a collection of Fortran77 routines for executing various multigrid control algorithms, including V-cycles, W-cycles, C-cycles, and the FMG algorithm. All are problem-independent, and can be accessed via a single routine (mgs) which also can execute single-grid relaxation for comparison. The use of this code is illustrated by my Multigrid Poisson Solver listed below.
    Fortran 77 code: single precision or double precision
    Multigrid Solver for the 2D Poisson Problem
    This Fortran77 routine solves the Poisson Problem on a two-dimensional rectangle with Dirichlet boundary conditions via a multigrid method. This uses Gauss-Seidel relaxation (red-black ordering) with half-injection of residuals and bilinear interpolation of corrections in a V-cycle algorithm. It works and is reasonably efficient, but is hardly general-purpose software. I wrote it primarily as an example of a relatively simple approach to programming multigrid methods in Fortran77; this approach separates the problem-dependent and multigrid-specific code and allows the compiler to handle the indexing on rectangular grids. It comes with a simple main program and the V-cycle control algorithm from my Multigrid Control Package listed above.

    119. Malaspina University-College
    Malaspina University College, Nanaimo, BC, Canada; 1823 July 2004.
    http://web.mala.bc.ca/math/conference/
    International Conference on Differential Equations and Applications in Mathematical Biology Conference Pictures Math 1.jpg Math 2.jpg Math 3.jpg Math 4.jpg ... The World Clock - Time Zones Second Announcement Topics:
    Differential equations, Delay differential equations,
    Integro-differential equations, Difference equations,
    Mathematical biology, Mathematical ecology, Population Dynamics,
    Dynamical systems, Control and optimization Abstract submission
    Authors are invited to submit abstracts of at most one page before March 31, 2004.
    The notifications of acceptance are scheduled for April 25, 2004.
    Important Note: Each submitted abstract must be prepared in accordance with AMS-Latex (see http://www.ams.org/tex/ Registration Fees Registration fees (for the participants only) will include the following: welcome folder/portfolio, welcome reception (on Sunday, July 18), mini tour to the Pacific Biological Station (Monday July 19), mega tour on Wednesday July 21, every day lunch meals and refreshments, banquet (Thursday July 22), and transportation. Registration fees will be as follows: Official rate is set in Canadian dollars Approximate conversion
    March 2004 rate Students ( Before May 1 2004 )** $100.00 CAN*

    120. Tom Kurtz Home Page
    University of Wisconsin Madison. Research interests include limit theorems for stochastic differential equations, particle representations of measure-valued processes, stochastic partial differential equations, filtering for Markov processes, large deviations and modeling of spatial point processes.
    http://www.math.wisc.edu/~kurtz/
    Professor Thomas G. Kurtz
    Ph.D., 1967, Stanford University
    Professor of Mathematics and Statistics
    Mathematics Office: 525 Van Vleck Hall, (608) 263-5563 Statistics Office: 1250B Medical Sciences Center, (608) 265-3990
    FAX:
    kurtz@math.wisc.edu
    Mailing address: Department of Mathematics
    University of Wisconsin - Madison

    Lincoln Drive
    Madison WI Department of Statistics
    University of Wisconsin - Madison

    1300 University Avenue
    Madison WI
    My UW Info
    Fall 2005 Course
    Opportunities for Probabilists
    Seminars
    Meetings

    Page 6     101-120 of 180    Back | 1  | 2  | 3  | 4  | 5  | 6  | 7  | 8  | 9  | Next 20

    free hit counter