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Intro | Differentiation | Nonlinear Eqns | Simul Linear Eqns | Interpolation | Regression | Integration | ODE

POWER POINT PRESENTATIONS

INTRODUCTION TO SCIENTIFIC COMPUTING

      Introduction to numerical methods [PDF] [PPT]

      Measuring errors [PDF] [PPT]

      Sources of error [PDF] [PPT]

      Binary representation of numbers [PDF] [PPT]

      Floating point representation of numbers [PDF] [PPT]

      Propagation of errors [PDF] [PPT]

      Taylor series [PDF] [PPT]

differentiation

      Continuous functions [PDF] [PPT]

      Discrete functions [PDF] [PPT]

      Effect of step size on accuracy of numerical first derivative: Forward Divided Difference  [PDF] [PPT]

       Effect of step size on accuracy of numerical first derivative: Backward Divided Difference [PDF] [PPT]

        Effect of step size on accuracy of numerical first derivative: Central Divided Difference [PDF] [PPT]

Nonlinear Equations

    Bisection Method [PDF] [PPT]

     Newton-Raphson Method [PDF] [PPT]

     Secant Method [PDF] [PPT]

SIMULTANEOUS LINEAR Equations

    Gaussian Elimination [PDF] [PPT]

     LU Decomposition method [PDF] [PPT]

     Gauss-Seidal method [PDF] [PPT]

Interpolation

    Direct Method [PDF] [PPT]

     Newton's Divided Difference Method [PDF] [PPT]

     Lagrange Method [PDF] [PPT]

     Spline Method [PDF] [PPT]

REGRESSION

     Linear Regression [PDF] [PPT]

     Nonlinear regression [PDF] [PPT]

Integration

   Trapezoidal Rule [PDF] [PPT]
    Simpson's 1/3rd Rule [PDF] [PPT]

     Romberg Rule [PDF] [PPT]
    Gauss-Quadrature Rule [PDF] [PPT]

ordinary differential equations

   Euler's Method [PDF] [PPT]

    Runge-Kutta 2nd order Method [PDF] [PPT]

     Runge-Kutta 4th order Method [PDF] [PPT]
    Shooting Method [PDF] [PPT]

    Finite Difference Method [PDF] [PPT]

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Copyrights: University of South Florida, 4202 E Fowler Ave, Tampa, FL 33620-5350. All Rights Reserved. Questions, suggestions or comments, contact kaw@eng.usf.edu  This material is based upon work supported by the National Science Foundation under Grant# 0126793, 0341468, 0717624,  0836981.  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  Other sponsors include Maple, MathCAD, USF, FAMU and MSOE.  Numerical Methods for Undergraduates by http://numericalmethods.eng.usf.edu is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License.  Based on a work at numericalmethods.eng.usf.edu.