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         Equation Solvers:     more books (100)
  1. A high-order direct solver for helmholtz equations with neumann boundary conditions (SuDoc NAS 1.26:201658) by Xian-He Sun, 1997
  2. Roots, a dispersion equation solver (Memorandum) by Michael Jonathan Gerver, 1977
  3. GEOCES: A gaussian elimination out-of-core equation solver (Computation and Mathematics Department research and development report) by Donald A Gignac, 1976
  4. CSKYTI: An out-of-core Cholesky algorithm equation solver (with respect to profile) for the Texas Instruments' Advanced Scientific Computer (Computation, ... Department research and development report) by Donald A Gignac, 1977
  5. Discrete sensitivity derivatives of the Navier-Stokes equations with a parallel Krylov solver (SuDoc NAS 1.15:106481) by Kumud Ajmani, 1994
  6. A unified multigrid solver for the Navier-Stokes equations on mixed element meshes (SuDoc NAS 1.26:198183) by Dimitri Mavriplis, 1995
  7. Some approaches towards constructing optimally efficient multigrid solvers for the inviscid flow equations (SuDoc NAS 1.26:201725) by David Sidilkover, 1997
  8. Preconditioned implicit solvers for the Navier-Stokes equations on distributed-memory machines (SuDoc NAS 1.15:106449) by Kumud Ajmani, 1994
  9. Solution of elliptic partial differential equations by fast poisson solvers using a local relaxation factor (NASA technical paper) by Sin-Chung Chang, 1986
  10. Ode Solver: Numerical Procedures for Ordinary Differential Equations Macintosh Version Book & Disk by Thomas Kiffe, William Rundell, 1990-03
  11. Ode Solver: Numerical Procedures for Ordinary Differential Equations Macintosh by Thomas Kiffe, William Rundell, 1995-09
  12. Parallel performance of some multigrid solvers for three-dimensional parabolic equations (Report) by Michael Holst, 1991
  13. An explicit predictor-corrector solver with applications to Burgers' equation (NASA technical memorandum) by Suhrit K Dey, 1983
  14. Bypass transistional flow calculations using a Navier-Stokes solver and two-equation models (NASA CR-) by William W Liou, 2000

61. Sandia National Laboratories - LDRD Enhancing Multilevel Linear Equation Solvers
Enhancing Multilevel Linear equation solvers Using Domain Decomposition StrategiesPrincipal Investigator John RedHorse. Project Manager David Martinez.
http://www.sandia.gov/LDRD/EnhMulLi.htm

LDRD Home

FY98 Projects

Enhancing Multilevel Linear Equation Solvers Using Domain Decomposition Strategies Principal Investigator:
John Red-Horse Project Manager: David Martinez Donna L. Chavez
Last modified: March 15, 1999 Back to top of page Questions and Comments

62. FEA, System Equation Solvers
FEM Solvers Evaluating System Equations. This Pageis Under Construction and will be Available Soon.
http://www.dermotmonaghan.com/fea/htm/fea_mathematics/equation_solvers.htm

63. Www.ma.man.ac.uk/NAC98/numerica.nb
front end, or user interface. },Text , TextJustification 1, Cell \ \ Numericslinear algebra, nonlinear equation solvers, optimization, \ differential
http://www.ma.man.ac.uk/NAC98/numerica.nb
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64. Center For Computational Math Colloquium, Fall 2001
Title Fast Heatequation solvers. Abstract I give fast solvers for the heatequation based on formulas of Feynman-Kac type for the pointwise solution.
http://www-math.cudenver.edu/ccm/colloq/0102/feb04.html
CENTER FOR COMPUTATIONAL MATHEMATICS COLLOQUIUM UNIVERSITY OF COLORADO AT DENVER PLACE: Mathematics Conference Room 626 UCD Building, 1250 14th St. , Denver TIME: NOON (Refreshments served at 11:45 am) Date: Monday, February 4, 2002 Speaker: Ben Fox Affiliation: SIM-OPT Consulting, Boulder, CO. e-mail: bfox@carbon.cudenver.edu Title: Fast Heat-Equation Solvers Abstract:

65. Description Of Computer Code
ü Direct symmetric and nonsymmetric matrix column equation solvers(in-core and out of-core Crout profile solvers). Symmetric
http://www.princeton.edu/~dynaflow/description_df.htm
Description of Computer Code Dynaflow Jean-H. Prévost
Department of Civil and Environmental Engineering
Princeton University
Princeton, New Jersey 08544-5263
E-mail: prevost@princeton.edu
URL: http://www.princeton.edu/~prevost D YNAFLOW is a finite element analysis program for the static and transient response of linear and nonlinear two- and three-dimensional systems. In particular, it offers transient analysis capabilities for both parabolic and hyperbolic initial value problems in solid, structural and fluid mechanics. There are no restrictions on the number of elements, the number of load cases, the number of load-time functions, and the number or bandwidth of the equations. Despite large system capacity, no loss of efficiency is encountered in solving small problems. In both static and transient analyses, an implicit-explicit predictor-(multi)corrector scheme is used. The nonlinear implicit solution algorithms available include: successive substitutions, Newton-Raphson, modified Newton and quasi-Newton (BFGS and Broyden updates) iterations, with selective line search options. Some features which are available in the program include: Multi-field/physics analysis capabilities via selective specification of multiple solution staggers.

66. Numerical Objects Online
Heat equation solvers as a minor extension of the Poisson equation solvers, classTimePrm for time data, visualization of timedependent data. Ch. 3.9-3.10.
http://www.nobjects.com/resources/training_courses.html
Overview
A good opportunity to get up to speed with your Diffpack development is to attend one of our scheduled training courses in Oslo , Norway, or local arrangements in your region. All courses will be lectured in English. The course extends over a total of 4 days and is split in two main parts:
  • Part I (1 day) covers necessary preliminaries. It is intended for persons with no Diffpack experience and/or little experience with C++. It consist of modules 1-3 in the table below.
  • Part II (3 days) consist of modules 4-14 in the table and constitutes the main part of the training.
Depending on your background you might want to skip Part I. It is possible to prepare yourself for Part II by reading Chapter 1 of the course book. The course is suitable for beginners as well as more experienced Diffpack programmers. It should be ideal if you are in the process of evaluating Diffpack. Confer the course program to see what you will learn. The course may also be given as on-site training for our customers. Please contact us at course@nobjects.com

67. FEFLOW - Finite Element Groundwater Flow Modeling And Remediation Software
These include Fast iterative equation solvers appropriate for large systems, suchas the PCG, BiCGSTAB, CGS, Restarted GMRES, and Restarted ORTHOMIN methods
http://www.bossintl.com/html/feflow_details.html
FEFLOW is a finite element based model with a wide selection of numerical solvers for performing complex 2D and 3D steady-state or transient groundwater flow and contaminant transport modeling. US UK UK Home ... View Cart FEFLOW Overview Features Pricing Resources Downloads Literature Services Support Consulting Home Products ... FEFLOW FEFLOW Features FEFLOW (Finite Element Flow) is one of the most sophisticated groundwater modeling packages available. The program provides an advanced 2d and 3D graphically based modeling environment for performing complex groundwater flow, contaminant transport, and heat transport modeling.
Page 1 of 3 Free CD-ROM Request a free CD-ROM containing the complete FEFLOW software, along with tutorials and user documentation. Click for details Free Download Download a free, working copy of FEFLOW, analysis models, tutorials, documentation, and support utilities. Click for details Unparalleled Modeling Capability FEFLOW is a finite element based model with a wide selection of numerical solvers for performing complex 2D and 3D steady-state or transient groundwater flow and contaminant transport modeling. FEFLOW’s finite element approach allows the user to quickly build a model to accurately analyze groundwater flow and transport for complex 3D geology. FEFLOW simulation capabilities include:
  • Particle tracking and flow pathlines.

68. Timberlake Middle
MathematicaEnhanced Symbolic Differential equation solvers The symbolicdifferential equation solvers in Mathematica 4.1 are completely
http://www.timberlake.co.uk/software/mathematica/whatisnew_diffEqSol.html
Mathematica-Enhanced Symbolic Differential Equation Solvers
The symbolic differential equation solvers in Mathematica 4.1 are completely redesigned and now cover almost all classical methods. These include a new implementation of Kovacic's algorithm for solving second-order linear homogeneous differential equations with rational function coefficients, powerful new methods and symmetry techniques for solving first-order nonlinear differential equations, improved recognition of differential equations for special functions, and powerful integrating factor methods for second-order nonlinear ordinary differential equations. In addition, the methods for finding solutions of partial differential equations are upgraded significantly.
The improvements in DSolve are profound and cover nearly every class of differential equations handled by Mathematica. In addition to the new and revised methods, the new code has an enhanced parser, is much more modular, and is easier to maintain. The following examples cover just a fraction of the improvements, but they should give you an overview of the breadth of enhancements in this release.
Special Classes of Equations
These include all the well-known equations for special functionsfor example, Airy and Besselas well as named classes of equations such as Riccati, Abel, and Euler. DSolve in Mathematica 4.1 can more readily identify and solve differential equations of this type.

69. Math.com Online Solvers
You can usually find the exact answer or, if necessary, a numerical answer to almostany accuracy you require. (equation Solving Help), Help with Online solvers,
http://www.math.com/students/solvers/online_solvers.htm
Home Teacher Parents Glossary ... Email this page to a friend Select Tool Calculators
Converters

Graphers

Resources Cool Tools
References

Study Tips

Wonders of Math

Search
Math.com Online Solvers
Fast Automatic Solutions Answers are completely explained in plain English!
Click on the yellow arrow for explanations of any step. Numbers The numbers section allows you to do some popular number calculations with explanations. Jump to: Scientific Notation Percentages Algebra NEW! see every step worked out The algebra section allows you to expand, factor or simplify virtually any expression you choose. It also ha s commands for splitting fractions into partial fractions, combining several fractions into one and canceling common factors within a fraction. Algebra Section Help Jump to: Expand Factor Simplify Cancel ... Join Fractions Graphs The plot command will generate a plot of almost any function or relation found in high school and undergraduate college mathematics. It will plot functions given in the form y = f(x), such as y = x

70. High-Performance Algorithms For Analysis And Design
feedback and an Internet Challenge (comparing GPS with other solvers for NASA to calculatethe first 100 vibration modes for the 5,156 equation Next Generation
http://solvers.larc.nasa.gov/
High-Performance Algorithms for Analysis and Design
NASA's General-Purpose Solver (GPS) is a rapid matrix equation solver for large-scale structural , electromagnetic and acoustic analyses (8.3 million complex equations). GPS minimizes solution time and memory by exploiting matrix properties (sparse/dense, real/complex, symmetric), computers (sequential/parallel, from Supercomputers/Unix to PCs/Windows or Linux) and languages (FORTRAN, C++, and Java Internet Challenge (comparing GPS with other solvers for NASA benchmarks) are solicited by NASA. EIGr , a fast NASA eigensolver, calculates vibration modes and frequencies. EIGr reduced the time to calculate the first 100 vibration modes for the 5,156 equation Next Generation Space Telescope (NGST) model from 45.6 minutes to 31 seconds (88X speedup) opening the door for trade studies on more refined and accurate NGST models. To test GPS and/or EIGr, complete this form Thomas Noll, Acting Branch Head Dr.Storaasli
Feedback on Langley Products and Services

71. Quadratic Equation Tutorials, Homework Help And Problem Solvers.
Quadratic equation Tutorials solvers Guide picks. Quadratic equationtutorials, homework help and problem solvers. Complete the
http://math.about.com/cs/quadraticequation/
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Guide picks Quadratic Equation tutorials, homework help and problem solvers.
Complete the Squares

6 examples with step by step solutions. Complete Tutorial - Quadratic Equations
Here you'll find a complete tutorial to help you understand quadratic equations. Several examples and solutions are provided. Completing the Square
Complete the square to solve quadratic equations. An excellent but brief tutorial with information for when you can't factor the equation. Equations and Solutions Over 10 quadratic equations explained and resolved with simple to follow instructions. Interactive Practice Use this interactive tutorial to improve your ability to solve quadratic equations. Introduction to Quadratic Equations An excellent tutorial for those new to quadratic equations. Completing the square and the quadratic formula are fully explained.

72. Math.com Online Calculators
Polynomials, functions, graphing, derivatives, limits, integration and more.Also a separate differential equation toolkit. (Vanderbilt University).
http://www.math.com/students/calculators/calculators.html
Home Teacher Parents Glossary ... Email this page to a friend Select Tool Calculators
Converters

Equation Solvers

Graphers

Resources Cool Tools
References

Test Preparation

Study Tips
...
Wonders of Math

Search
Math.com Online Calculators
Basic Calculator - quick and simple Scientific Calculator - full featured: logs, trig, hex Square Root - find square root of any number Circle - find area, radius, perimeter Prime Number - is it prime? Quadratic Equations - input a, b, c and find roots Percents - 3 ways to calculate percentages, percent of, etc. Alert! If your teacher doesn't allow calculators for homework, that means online ones, too. OK? OK. (see note on precision Trigonometry Probability Finance Related Resources

73. What's New In Mathematica 4.1: Symbolic Differential Equation Solvers
The summary for this Japanese page contains characters that cannot be correctly displayed in this language/character set.
http://www.wolfram.com/products/mathematica/newin41/computing.ja.html
ŠT—v Integrate NIntegrate Å“K‰»‚³‚ꂽ“ŒvƒAƒ‹ƒSƒŠƒYƒ€ ... Mathematica
Mathematica
DSolve Mathematica ‚ªˆµ‚¤‚Ù‚Æ‚ñ‚Ç‚·‚ׂẴNƒ‰ƒX‚Ì”÷•ª•û’öŽ®‚ðƒJƒo[‚µ‚Ü‚·DV‹KE‘啝XV‚³‚ꂽƒAƒ‹ƒSƒŠƒYƒ€‚ɉÁ‚¦CV‚½‚ȃR[ƒh‚É‚ÍŠg’£ƒp[ƒT‚ª‚‚¢‚Ä‚¨‚èC¡‚Ü‚Å‚æ‚è‚à‘g‚Ý—§‚Ä‚â‚·‚­Cƒƒ“ƒeƒiƒ“ƒX‚àŠÈ’P‚É‚È‚è‚Ü‚µ‚½DˆÈ‰º‚Ì—á‚ł͉ü—Ç‚³‚ꂽŠÖ”‚ɏœ_‚𓖂āC‚±‚̃o[ƒWƒ‡ƒ“‘S‘̂ɂ킽‚é‰ü—Ç‚Ì•L‚³‚ªŠTŠÏ‚Å‚«‚é‚悤‚É‚È‚Á‚Ä‚¢‚Ü‚·D
‚±‚±‚ÉŠÜ‚Ü‚ê‚é‚̂̓GƒAƒŠ[(Airy)CƒxƒbƒZƒ‹(Bessel)‚È‚Ç‚Ì“ÁŽêŠÖ”‚Ì—Ç‚­’m‚ç‚ꂽ•û’öŽ®‚ƁCƒŠƒbƒJƒeƒB(Riccati)CƒAƒxƒ‹(Abel)CƒIƒCƒ‰[(Euler)‚È‚Ç‚Ì–¼‘O‚Ì•t‚¢‚½•û’öŽ®‚Å‚·D Mathematica DSolve ‚Í‚±‚ÌŽí‚Ì”÷•ª•û’öŽ®‚ð¡‚Ü‚Å‚æ‚è‚à‚æ‚è—eˆÕ‚ÉŽ¯•Ê‚µC‰ð‚­‚±‚Æ‚ª‚Å‚«‚Ü‚·D
ƒŠƒbƒJƒeƒB(Riccati)‚Ì•û’öŽ®
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ƒ‹ƒWƒƒƒ“ƒhƒ‹(Legendre)
‚±‚±‚É‚Í‘½€Ž®C—L—CiƒŠƒEƒ”ƒBƒ‹‚́jŽw”C’´Šô‰½üŒ`í”÷•ª•û’öŽ®‚Ȃǂ̐üŒ`•û’öŽ®‚Ì”äŠr“Iˆê”Ê“I‚ȃAƒ‹ƒSƒŠƒYƒ€‚ªŠÜ‚Ü‚ê‚Ü‚·D
ƒŠƒEƒ”ƒBƒ‹(Liouville)Œ^‚Ì•û’öŽ®
PFQŒ^‚Ì•û’öŽ®
Mathematica 4.1‚É‚Í“¯ŽŸüŒ`í”÷•ª•û’öŽ®‚ÌPFQŒ^‚̉ð‚ð‹‚ß‚é‚½‚߂̐V‚½‚ȁC‰ü—Ç‚³‚ꂽƒ‚ƒWƒ…[ƒ‹‚ª‘gž‚Ü‚ê‚Ä‚¢‚Ü‚·D‚±‚̐V‚µ‚¢ƒ‚ƒWƒ…[ƒ‹‚ðŽg‚¤‚Æ Mathematica Œ^‚Ì•û’öŽ®‚ð‰ð‚­‚±‚Æ‚ª‚Å‚«‚Ü‚·D ‚Ü‚½C‚±‚̐V‚½‚ȃ‚ƒWƒ…[ƒ‹‚́CŽŸ‚̂悤‚È•û’öŽ®‚Å‹N‚±‚Á‚½Ä‹A‚̐”‚»‚Ì‘¼‚Ì–â‘è‚à‰ðŒˆ‚µ‚Ü‚·D
ŒÝ‚¢‚É“Æ—§‚µ‚½•û’öŽ®Œn‚Ì”FŽ¯ Mathematica ‚́CŽŸ‚Ì—á‚̂悤‚Ɍ݂¢‚É“Æ—§‚µ‚Ä‚¢‚é•û’öŽ®‚©‚ç‚È‚éŒn‚ðˆµ‚¤‚±‚Æ‚ª‚Å‚«‚Ü‚·D
DSolve ‚Å”ñüŒ`1ŠKí”÷•ª•û’öŽ®‚̉ð‚ð‹‚ß‚Ü‚·D
Mathematica
‹«ŠE’l‚Ì–â‘è ”÷•ª•û’öŽ®‚̈ê”Ê‰ð‚ª‹‚ß‚ç‚ê‚éê‡‚́C DSolve ‚ðŽg‚Á‚Ä‹«ŠE’l‚Ì–â‘è‚𖾎¦“I‚ÉŒvŽZ‚·‚邱‚Æ‚ª‚Å‚«‚Ü‚·D
Mathematica Mathematica 4.0‚ªˆµ‚¦‚È‚©‚Á‚½C‚ ‚é‚¢‚ÍŠ®‘S‚É‚Í‰ð‚¯‚È‚©‚Á‚½”‘½‚­‚̕Δ÷•ª•û’öŽ®‚ɉð‚ð—^‚¦‚Ü‚·D.

74. Grade 7 Linear Equations 2
Grade 7 The Learning equation Math. 22.03 Linear equations singlevariable, first-degree linear equation, using concrete materials or Change the equation to show to each of the
http://cap.epsb.ca/math14_Jim/math7/strand2/2203.htm

75. Quadratic   Equation   Calculator
quadratic equation calculator, algebra, algebraic equation calculator Quadratic equation Calculator. Input MUST have the format AX2 + BX + C = 0. EXAMPLE If you have the equation 2X2
http://www.1728.com/quadratc.htm
var sgn=""; var sgn2=0; var imgsw=0; var bsqr=0; var fourac=0; Quadratic Equation Calculator Input MUST have the format: AX + BX + C =
EXAMPLE: If you have the equation:
then enter: 2 4 -30 click E N T E R and your answers should be 3 and -5. A= B= C= X X
If you need to have the answer
in fractional form then: X=
If you are wondering, this calculator works by using the Quadratic Formula.

76. Symplectic Integrators Versus Ordinary-differential-equation Solvers For Hamilto
Morton Hall. CD.03 Symplectic integrators versus ordinarydifferential-equationsolvers for Hamiltonian systems. Jon Lee (Wright
http://flux.aps.org/meetings/YR9596/BAPSOFM96/abs/S160003.html

Next abstract
Session CD - Chaos and Statistical Physics.
MIXED session, Saturday morning, November 02
Room 219, Morton Hall
[CD.03] Symplectic integrators versus ordinary-differential-equation solvers for Hamiltonian systems.
Jon Lee (Wright Lab (FIB), Wright-Patterson AFB, OH 56433) In this talk, we compare the performance of symplectic integrators and ordinary-differential-equation (ODE) solvers for some low dimensional Hamiltonian systems. Considered here are the symplectic integrators of second-order (Feng, Ruth, Friedman amp; Auerbach), fourth-order (Forest amp; Ruth, Candy amp; Rozmus) and sixth-order (Yoshida), and the ODE solvers of DEABM and DERKF (Shampine) of the SLATEK library and LSODE (Hindmarsh) of ODEPACK. These integrators and solvers are used for trajectory computation of the Holmes oscillator, two-body central force field motion, and Henon-Heiles system. The main observation is that ODE solvers outperform the symplectic integrators in accuracy, but fall short in efficiency. Part C of program listing

77. Numerical Solvers
next Next The Mathematical Problem. Numerical Differential EquationSolvers. Robert Piché Tampere University of Technology. After
http://icosym-nt.cvut.cz/odl/partners/tut/unit2/
Next: The Mathematical Problem
Numerical Differential Equation Solvers
Tampere University of Technology After you've formed a model of a physical system, you'll want to compute the solution. Usually, the model is so large and complex that you'll want to use numerical solvers rather than attempt an ``exact'' solution. You can use the numerical solvers available in your simulation software or use algorithms available in general-purpose mathematical software packages. In either case, you will be faced with a range of choices: which method to use and what solution parameters to give it. This lesson provides some guidance to help you make the right choices. A model of the dynamics of a physical system can have many different kinds of mathematical object, including ordinary differential equations, partial differential equations, algebraic equations, and difference equations (``discrete-time'' models). In this lesson, attention is restricted to models that are ordinary differential equation initial value problems. We start by giving a precise description of this mathematical problem. We then look at the general ideas behind numerical solution algorithms. We explain the difference between algorithms that are constant or variable time step, one-step or multistep, explicit or implicit, low-order or high-order.

78. Grade 7 Linear Equations 2
source SliderGraphApplet. OneStep Linear equation. Modified source TeachingInformal Algebra. One-step Linear equation Generator. ax = b x/a = b a/x = b.
http://dev1.epsb.edmonton.ab.ca/math14_Jim/math7/strand2/2203.htm

79. Magnetic Field Visualization
A new technique is described for ultra fast magnetic modelling and visualization of magnetic fields.
http://redirect-west.inktomi.com/click?u=http://www.vizimag.homestead.com/&y=028

80. Automatic Generation And Differentiation Of Partial Differential Equation Solver
Automatic Generation and Differentiation of Partial Differential EquationSolvers with IndexFree Scripts. Jitse Niesen. Automatic
http://www.damtp.cam.ac.uk/user/na/people/Jitse/abstract_cs.html
Automatic Generation and Differentiation of Partial Differential Equation Solvers with Index-Free Scripts
Jitse Niesen. Automatic Generation and Differentiation of Partial Differential Equation Solvers with Index-Free Scripts
Master's thesis, Department of Computer Science, University of Twente, the Netherlands, 1999.
Abstract
In this thesis, a system for the automatic generation of a numerical solver for partial differential equations using finite differences is developed. Due to the high performance demands in scientific computing, the efficiency of the generated code should be comparable to hand-written code. The input consists of a high-level specification of the difference scheme. Only explicit schemes are considered. Besides generating the code for the solver, the system can also automatically differentiate the difference scheme for eg.~optimisation. This automatic differentiation should take place at the script level instead of at the source-code level to retain of the general view. The input, specifying the difference scheme, is contained in a script, which is basically a sequence of assignments. However, automatic differentiation of assignments with indexed expressions leads to the difficult problem of symbolically contracting tensors containing Kronecker deltas with non-trivial index expressions. To circumvent this problem, the script are required to be index-free. Stencil operators are provided to enable the expression of difference schemes in index-free scripts. The notion of repeating a certain action is enclosed in a special stencil operator called the iterator.

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