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         Differential Equations Activities:     more detail
  1. Computer Science Research Activities In Asia: Software Technology And Patents, Cim, Scientific Computation And Differential Equations, Computer And Mathmatics Modelling, And System Simulation by David K. Kahaner, 1993-09-30
  2. Computing the Electrical Activity in the Heart (Monographs in Computational Science and Engineering) by Joakim Sundnes, Glenn Terje Lines, et all 2006-09-15
  3. Inverse Problems: Activities for Undergraduates (Classroom Resource Materials) by Charles W. Groetsch, 1999-12-02
  4. Methodology for stochastic modeling (Technical report / U.S. Army Materiel Systems Analysis Activity) by Herbert E Cohen, 1985
  5. Technical report / U.S. Army Materiel Systems Analysis Activity by Herbert E Cohen, 1985

81. Shi Jin's Teaching Activities
Math 213 , Calculus and Introduction to differential equations; Math/CS 712 ,Methods of Scientific Math 320 , Linear Algebra and differential equations
http://www.math.wisc.edu/~jin/teaching.html
Courses in Previous Semesters
Fall 2004: Spring 2004: Fall 2003:
  • Math 213 , Calculus and Introduction to Differential Equations
  • Math/CS 712 , Methods of Scientific Computing I
Spring 2003: Fall 2002:
  • Math 213 , Calculus and Introduction to Differential Equations
  • Math/CS 712 , Methods of Scientific Computing I
Spring 2002: Fall 2001:
  • Math 213 , Calculus and Introduction to Differential Equations
  • Math/CS 713 , Numerical Methods for Partial Differential Equations
Spring 2001: Fall 2000:
  • , Advanced Calculus

82. RAAG Server: Research Activities
Research activities Young Researchers Publications analytic functionsthat arise as solutions of differential equations in physics or engineering.
http://ihp-raag.org/research.php
Organisation and structure Researchers Meetings and other events Positions and opportunities Newsletter ... About this Web site Page maintained by
F. Mangolte
The Network's research plans
The network will concentrate its research efforts on the core areas of RAAG, which are: Real Geometry the study of geometric objects arising from the real numbers; Real Algebra the study of algebraic systems, in particular function rings, that arise in real geometry; Algorithms and Complexity the study of computational methods, including applications in an industrial context. This section contains a description of these subtopics together with a number of major problems that guide the current development of RAAG. The network will work towards each of these goals; major advances are anticipated the expected progress is described in the section "4 Work Plan". A. Real Geometry Rings of polynomial functions have their origin in the arithmetic operations of the real numbers. Larger classes of functions occur in applications, e.g., analytic functions that arise as solutions of differential equations in physics or engineering. The most basic objects in real geometry are real algebraic varieties and real analytic varieties , the solution sets of equations between polynomial functions or analytic functions. A large class of important geometric forms, such as a square in the plane, a connected component of a real variety or a solid model in Computer Aided Design, become accessible to real geometry if

83. NSF Annual Report Of Activities
The form of the differential equations is. p =1,2,…; q =0,1,2, (12).p =1,2,…; q =0,1,2,… (13). where, again, the generalized coordinate Bp0 may be
http://www.me.gatech.edu/acoustics/IAL/projects/michaux/
Analytical Modeling and Simulation Research has been initiated in three areas of analysis. First, a rotor model has been developed which will serve as a testbed for dither control strategies. Many different types of models have been used in the past to model brake rotors and computer disks; see for example the review articles of Kinkaid, et al. [1] and Mottershead [2]. There are two general categories of disc models; those that use a modal description and those that use a finite-element model. While the latter is more general, the former was adopted in the initial phase of this investigation for simplicity's sake. In particular, the disc rotor was modeled by a thin, stationary, clamped-free annular plate. The model can be summarized by the following equations: where , E is the elastic modulus, h is the thickness, n is the Poisson's ratio, r is the mass density, and F( r q ,t ) is the force per unit area applied by the brake pad, or by other external means. The term is the biharmonic operator, given in polar coordinates as It is assumed that the plate is clamped at its inner radius, r = b:

84. Learning Materials: News
complete collections for Precalculus and differential equations, plus many others The activities included an introduction to Maple and guided,
http://www.math.duke.edu/education/news.html
News
from Duke Mathematics
Learning Materials
Development Projects
Latest update: June 20, 2001
Contents

85. Salvador Vera: Directorio - Ecuaciones Diferenciales
Translate this page IV Americas Conference on differential equations and Nonlinear Dynamics The The site describes research activities of the differential equations group
http://www.satd.uma.es/matap/svera/links/matnet06.html
Ecuaciones Diferenciales Restaurar marco Añade tu web Anterior Home ... Siguiente en todo el directorio Dmoz sólo en Matemáticas Top Directorio Español: Matemáticas Ec. Diferenciales Descripción Genéricas: Específicas: Esta categoría en otros idiomas:
  • Inglés Ecuaciones diferenciables ordinarias - Libro en formatos pdf y dvi sobre los métodos clásicos de resolución. Juan Luis Varona Malumbres Profesor del Departamento de Matemáticas y Computación de la Universidad de La Rioja. Ecuaciones diferenciales. - Teoría y resolución de ecuaciones diferenciales, clases en zona Capital y GBA, Rep. Argentina. Ecuaciones diferenciales ordinarias - Curso introductorio a las ecuaciones diferenciales. Trata sistemas lineales, sistemas autónomos y soluciones por medio de series de potencias, ecuaciones diferenciales, sistemas de ecuaciones lineales, Ricatti, Bernoulli, aplicación exponencial, series de potencias, mapas de fases, sistemas autónomos, teorema de Fröbenius, sistemas no lineales, puntos críticos, sistemas dinámicos, funciones especiales, polinomios de Legendre, polinomios de Hermite. Ecuaciones diferenciales ordinarias - Apuntes de sistemas de ecuaciones diferenciales, a cargo de Oswaldo Lezama y Mario Zuluagala de la Universidad Nacional de Colombia. La página contiene teoría de sistemas de ecuaciones diferenciales y estabilidad según Liapunov.

86. Software For Partial Differential Equations
Flow around a cylinder, click for movie Partial differential equations This research, combined with activities at SINTEF Applied Mathematics and
http://www.ifi.uio.no/~tpv/Research/pdesw/pdesw.html
Software for
Partial Differential Equations
Funding This project is financed in part by The Research Council of Norway , under the research program BeMatA
Shortcuts Project Summary
Background

Methods

Related Projects

Staff Prof. Are Magnus Bruaset
Dr. Xing Cai

Prof. Hans Petter Langtangen

Dr. Glenn Terje Lines
...
Prof. Aslak Tveito
Links Diffpack Book Numerical Objects AS Parallel Solution of PDEs Linux Cluster at Ifi
Project Summary The Norwegian Version
The project will focus on the development of modern generic software for solving partial differential equations (PDEs). In particular, we want to study and implement the following generic PDE software components:
  • p-version of the finite element method
  • Mixed finite element method
  • The finite volume method
  • Treatment of multi-physics problems
  • Treatment of moving domain problems
  • Efficiency improvement of general PDE software code
  • High-level interface to PDE software code through scripting languages such as Python
All the above software compoenents are expected to be included in the Diffpack computing environment.

87. Entrez PubMed
The differential equations for specific activities in a distributed tracer system.Hearon JZ. MeSH Terms Kinetics Models, Chemical* Radioisotopes*
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=5

88. Health And Safety Hazards Of Industrial Activities MPI 2201  Importance Of Heal
Laws and regulations governing Industrial activities (MPI 2203) Classificationof differential equations, Solution of Simple First Ordinary differential
http://www.ou.ac.lk/fac_etec/maths/course.html
Course Conducted by The Department
Certificates
Diploma Degree Postgraduate Degree Certificate Programmes
Certificate in Industrial Environmental Hazards
( For More Detail[MS Word Format] Click Here
Diploma in / Bachelor of Engineering Technology Programme
Mathematic Stream: Subjects offered
MPZ 1330 Pure Mathematics
MPZ 1331 Applied Mathematics
MPZ 2230 Mathematics
MPZ 3230 Engineering Mathematics I
MPZ 4230 Engineering Mathematics II
MPZ 5330 Engineering Mathematics III (For Detail Syllabus of above subject Please Contact : Mr. W.S.Fernando : mpfer@ou.ac.lk Philosophical and Environmental Stream: Subjects offered MPJ 4131 History of Technology LWJ 3160 Introduction to laws of Sri Lanka MPJ 5231 The Nature of Science MPJ 5233 Technology, Society and Environment

89. Research Activities : Foundations Of Quantum Mechanics
Stochastic differential equations in terms of squareintegrable martingales. Stochastic differential equations for relativistic quantum field theories.
http://www-dft.ts.infn.it/DFT/activities/ghi-web.html
HOME PAGE WEB SEARCHING SELECTED LINKS DISCOVERING THIS SITE
Foundations of quantum mechanics and quantum computing
Prof. Gian Carlo Ghirardi, Full Professor Prof. Tullio Weber, Full Professor Dr Emiliano Ippoliti, PhD student Dr Davide Salvetti, PhD student Dr Luca Marinatto, Postdoctoral fellow (ICTP) Dr Angelo Bassi, Postdoctoral fellow (ICTP)
FOUNDATIONS OF QUANTUM MECHANICS: DYNAMICAL REDUCTION MODELS
The group is mainly involved in the study of "Dynamical Reduction Models" [1-4], which represent one of the few mathematically consistent and physically sensible solutions to the measurement problem of Quantum Mechanics [5]. The following topics are part of our current research activity:
  • Stochastic differential equations in Hilbert spaces. We analyze the problem of the existence and uniqueness of solutions of particular types of stochastic differential equations in infinite dimensions (i.e. in Banach and Hilbert spaces), namely those reproducing the evolution of a quantum system subject to spontaneous localizations in space. We also study analytically properties like the asymptotic limit of the solutions for large times. Stochastic differential equations in terms of square-integrable martingales. We are interested in generalizing stochastic differential equations (in Hilbert spaces) to stochastic processes representing integrable martingale, instead of "simple" Wiener processes. This generalization, from the physical point of view, allows one to take into account spontaneous localizations driven by non-white noises, and to analyze how the reduction mechanism depends of the statistics of the noise.
  • 90. Research Activity
    List of all research activities as they appear on this page These includestochastic differential equations that describe chemical kinetics,
    http://www.math.tau.ac.il/am/research.html
    Research Activity List of all research activities as they appear on this page Numerical Analysis
    Mathematical Physics
    Modeling Theory of PDE ...
    Computer-Aided Geometric Design
    Numerical Analysis
    Numerical Analysis deals with developing and analyzing computational methods for calculating the numerical solution of mathematical problems.
    A truly effective use of numerical analysis in applications requires both a theoretical knowledge of the subject and computational experience with it. The theoretical knowledge should include an understanding of both the original problem being solved and of numerical methods for its solution, including their derivation, error analysis, and an idea when they will perform well or poorly. Since many problems cannot be solved by a simple application of some standard software, one usually has to devise new methods or to adapt standard methods to the given situation. This requires a good theoretical foundations in numerical analysis.
    The Numerical Analysis research in the Applied Mathematics Department at Tel Aviv University includes the following subjects:
    Numerical methods for hyperbolic PDE's,computational solution for the Navier-Stokes equations in aerodynamics, construction of high-order methods for general domains,construction of absorbing boundary conditions.

    91. Faculty Of Applied Mathematics
    differential schemes for partial differential equations (numerical analysis) partial differential equations - functional equations and inequalities
    http://home.agh.edu.pl/~wms/en/nauka/index.php
    SCIENTIFIC ACTIVITIES Faculty authorities
    Faculty structure

    Scientific activities

    Seminars
    ...
    (Polish version)
    The research and scientific topics performed at the Faculty include:
    - design of algorithms and the use of probability based methods in engineering, physics and medicine
    - modelling of economic problems
    - selected problems of stability in dynamical systems
    - mathematical aspects of identification of systems, computational complexities
    - discrete mathematics with special attention to graph theory
    - problems of division and decomposition - analytical and topological methods in the field of dynamical systems - applications to problems in mathematical physics, economy and control theory - differential equations - numerical methods - computational methods - non-linear differential and difference, functional equations (of hyperbolic, elliptic and parabolic types) - geometric methods - functional analysis, operator theory, Hilbert spaces - theory of approximations, splines, wavelets, rational functions - theories of colmatation and flows with mass transfer and stability of deformation processes in metal crystals - mathematical analysis - differential schemes for partial differential equations (numerical analysis) - partial differential equations - functional equations and inequalities - descriptive and projective geometry and engineering graphics.

    92. Catalog Description
    M 333 differential equations WITH MATRIX THEORY (40-4) Use of Classroomactivities may vary depending on students outcomes on homework assignments.
    http://math.boisestate.edu/dept-stuff/Generic/M333.html
    Boise State University Department of Mathematics Math 333
    Differential Equations with Matrix Theory
    Generic Syllabus
    Updated Fall 1998
    Catalog Description
    M 333 DIFFERENTIAL EQUATIONS WITH MATRIX THEORY (4-0-4) Use of differential equations to model phenomena in sciences and engineering. Solution of differential equations via analytic, qualitative and numerical techniques. Linear and nonlinear systems of differential equations. Introduction to matrix algebra, determinants, eigenvalues, and solutions of linear systems. Laplace transforms. PREREQ: M 175.
    Prerequisites
    M 175 Calculus and Analytic Geometry, or equivalent calculus elsewhere, or permission of the instructor. The rationale for the prerequisite is that students should have enough experience with the concept of the derivative and the integral that the idea of a differential equation makes sense, and that the computations involved in some of the solution techniques are possible for them.
    Jurisdiction
    This course is not currently controlled by a departmental committee and individual instructors may choose different textbooks. Exams, homework, and grading system are left to the instructor.
    Learning Objectives
    As an applied mathematics course, the objectives of M 333 reflect three of the Department's teaching goals: that students be able to give examples of nontrivial applications of mathematics to various (non-mathematical) fields, that students be able to use suitable mathematical tools, and that students use mathematics as a language. As a service course taken primarily by non-majors, M 333 does not stress the aesthetic side of mathematics or the idea of mathematics as the study of patterns.

    93. Current Research Activities
    An inverse coefficient problem for an integrodifferential equation This iswork that was carried out jointly with Alexander Denisov from Moscow State
    http://www.math.unl.edu/~tshores1/myresearch.html
    Department
    of
    Mathematics
    University of
    Nebraska
    Lincoln

    Research
    Home
    Schedule Teaching Research ... Contact Me
    Research Activities
    I'm always at a bit of a loss for words when someone asks me "What is your specialty?" because I'm never sure that I currently have one. It's simply not in my blood to dig a deep narrow intellectual furrow and try to become one of the "world's leading experts in xxx," even though I know that it's in most academics' best interests to focus her/his energies in this way. I'm constantly interested in more mathematical topics than I can possibly master in a finite amount of time, rather like a kid in a candy shop.
    So let me start this page by giving a (partial) list of the areas that I've investigated to the extent of publishing something in them, in roughly chronological order. See my CV for a full publication list. Doing mathematics is often a social activity, so I'm going to mention some of the people who have been most influential to me.
    • Group theory especially generalized solvable and nilpotent groups as developed by the Kurosh school my PhD thesis, "Groups with a category", is in this area. I was directed by two fine mathematicians, R. E. Phillips and L. M. Sonneborn.

    94. Teaching Activities
    Editorial, Refereeing and Reviewing activities An inverse coefficient problemfor an integrodifferential equation, Applicable Analysis, 81(2002),
    http://www.math.unl.edu/~tshores1/mycv.html
    Department
    of
    Mathematics
    University of
    Nebraska
    Lincoln

    Personal
    Home
    Schedule Teaching Research ... Contact Me

    Curriculum Vitae
    Thomas S. Shores
    March 2004
    Date of Birth:
    May 28, 1942 Education: Degree Year Institution B.S. (Mathematics) University of Kansas M.A. (Mathematics) University of Kansas Ph.D. (Mathematics) University of Kansas Professional Experience: Teaching Assist., Math. University of Kansas Instructor, Math. University of Kansas Assist. Professor, Math. UNL Assoc. Professor, Math. UNL Professor, Math. 1976-present UNL UNL UNL 1981 (January-August) UNL UNL Visiting Professor of Mathematics NCSU Interim Director, Actuarial Science UNL UNL Research Interests: Group theory, ring theory, commutative algebra, numerical linear algebra, numerical differential equations, Sinc methods, inverse theory. Grants, Contracts, Fellowships, Leaves: 1985 Faculty Development Leave spent at North Carolina State University, Department of Mathematics, Academic Year. 1990 NSF ILI Grant ($51,000) for ``Implementation of an Advanced Laboratory for Mathematics Experimentation.''

    95. Nonlinear Partial Differential Equations
    Nonlinear partial differential equations lie at the frontier of The programmeactivities in this theme were largely concentrated in the June workshop,
    http://www.newton.cam.ac.uk/reports/0001/npd.html
    Nonlinear Partial Differential Equations
    8 January to 6 July 2001
    Report from the Organisers: H Brezis (Paris), EN Dancer (Sydney), JF Toland (Bath), NS Trudinger (Aust. Nat. Univ.)
    Scientific Background
    Outcome and Achievements

    Other Activity
    Scientific Background
    Nonlinear partial differential equations lie at the frontier of contemporary mathematics with deep theoretical challenges linked to diverse applications. This programme emphasised equations of elliptic and parabolic type, which traditionally model steady states and evolving processes. The programme was divided into four interrelated themes:
    • Geometric evolution equations;
    • Fully nonlinear equations;
    • Variational problems with singularities;
    • Reaction diffusion equations.
    The first two themes were pursued mainly during the first three months of the programme and the last two themes during the last three months. The activities under each theme culminated in a workshop. The first two were integrated in a two- week workshop supported by the EC, as a Euroworkshop entitled Geometric Evolutions and Nonlinear Elliptic Equations, organised by B Andrews and NS Trudinger, from 26 March to 6 April 2001. A workshop on Variational Problems with Singularities, organised by H Brezis and F Bethuel, was held from 25 to 29 June 2001, while the final activity of the programme, covering the last theme above, was a Euroconference entitled Nonlinear Elliptic Equations and Transition Phenomena, organised by EN Dancer and H Brezis, from 2 to 6 July 2001.

    96. Oscar - Project Description - A Partial Differential Equation Approach To Robust
    A Partial differential Equation Approach to Robust Control Design of Smart A New Research Directions Arising from the activities of the Regular ARO
    http://oscar.virginia.edu/asp/PublicAward.asp?AwardNumber=GG10438&AwardId=25916

    97. Statement On Teaching And Other Non-Research Activities
    Statement on Teaching and Other NonResearch activities. Linear ordinarydifferential equations; existence and uniqueness questions; series solutions;
    http://www.math.psu.edu/simpson/courses/teaching/

    98. CATHODE - 7213
    Computer Algebra Tools for Handling Ordinary differential equations The centralactivities of the group will be a series of workshops.
    http://cabernet.esprit.ec.org/esp-syn/text/7213.html

    99. WORK PROGRAM
    Viability theory in control and differential games . We plan to study acharacterization of Numerical solution of HamiltonJacobi and Isaacs equations
    http://www.mat.uniroma1.it/ricerca/intas/workpro.html
    The main goal of this project is to start an active collaboration between former Soviet Union and european researchers in the field of control theory and differential games creating a network. The theoretical point of view and the development of numerical schemes to solve real problems arising in applications will be both emphasized.
    ORGANIZATION
    The network joins together 15 different research groups (6 from the NIS and 9 from the EEC) for a total of 89 scientists (39 from the NIS and 50 from the EEC). The project coordinator (Prof. M. Falcone) is in Rome whereas Prof. Michail G. Dmitriev (Peresslavl-Zalessky) will act as the coordinator of the NIS participants. We decided to organize rather big groups including single researchers from other universities/institutions in the group (of their country) with which they already have scientific contacts, as a result the project resembles scientists from more than 20 different universities and research centers. The participants belong to 3 differents EEC countries and 3 different NIS countries. The funds will be administrated by the country coordinators (see Encl. 2 and 4).
    TIME SCHEDULE
    BUDGET
    The budget has been computed on the base of the air trip APEX fares (which are not equal if you travel from inside the NIS or viceversa) and of the following per diem:
    1 day in Western Countries = 83 ECU
    1 day in Moscow = 33 ECU
    1 day in any other place in NIS = 25 ECU
    The budget will be administrated by the country coordinators and by the project coordinator according to the the rules of network (see the provisional Network Agreement Encl. 2).

    100. 8- Th ISDG Symposium - Andrei Subbotin
    When studying differential games with nonsmooth value function, AISubbotin realized differential games and firstorder partial differential equations.
    http://www-sop.inria.fr/miaou/ISDG/subbotin.html
    In Memory of Andrei I. Subbotin

    `E.G.Al'brekht,
    A.G.Chentsov,
    A.F.Kleimenov,
    N.N.Krasovskii,
    A.B.Kurzhanski,
    Yu.S.Osipov,
    V.S.Patsko,
    V.E.Tret'yakov,
    V.N.Ushakov
    Last modified: Mon Jun 8 12:02:40 MET DST 1998

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