|
WORKSHEETS IN MATHCAD |
||
|
INTRODUCTION TO SCIENTIFIC COMPUTING |
||
|
Measuring Errors |
||
|
True Error [MATHCAD] Approximate Error [MATHCAD] |
||
|
Binary Representation |
||
|
Decimal to binary representation [MATHCAD] Binary to decimal representation [MATHCAD] |
||
|
Measuring Errors |
||
|
Decimal to floating point representation [MATHCAD] Binary to floating point representation [MATHCAD] |
||
|
Propagation of Errors |
||
| Propagation of Errors [MATHCAD] | ||
|
Differentiation |
||
|
Continuous Functions |
||
|
Forward Divided Difference [MATHCAD] Backward Divided Difference [MATHCAD] Central Divided Difference [MATHCAD] Continuous functions Second Order Derivative [MATHCAD] |
||
|
Discrete Data |
||
|
Discrete functions [MATHCAD] |
||
|
Nonlinear Equations |
||
|
Bisection Method |
||
|
Method [MATHCAD] Convergence [MATHCAD] Pitfall: Slow convergence of bisection method simulation [MATHCAD] |
||
|
Newton-Raphson Method |
||
|
Method [MATHCAD] Convergence [MATHCAD] Pitfall: Division by zero [MATHCAD] Pitfall: Slow Convergence at Inflection Points [MATHCAD] Pitfall: Root jumps over several roots [MATHCAD] Pitfall: Roots oscillates around local maxima and minima [MATHCAD] |
||
|
Secant Method |
||
|
Simulation of secant method [MATHCAD] Convergence Simulation of secant method [MATHCAD] Pitfall: Division by zero in secant method simulation [MATHCAD] Pitfall: Root jumps over several roots in secant method [MATHCAD] |
||
|
SIMULTANEOUS LINEAR EQUATIONS |
||
|
Gaussian Elimination |
||
|
Method [MATHCAD] |
||
|
Gauss-Seidel Method |
||
|
Method [MATHCAD] |
||
|
Convergence [MATHCAD] |
||
|
LU Decomposition |
||
|
Method [MATHCAD] |
||
|
Interpolation |
||
|
Direct Method |
||
|
Method [MATHCAD] |
||
|
Newton's Divided Difference Method |
||
|
Method [MATHCAD] |
||
|
Lagrange Method |
||
|
Method [MATHCAD] |
||
|
Spline Method |
||
|
Method [MATHCAD] |
||
|
REGRESSION |
||
|
Linear Regression |
||
|
Method [MATHCAD] |
||
|
Nonlinear Regression |
||
|
Without Data Linearization [MATHCAD] With Data Linearization [MATHCAD] Polynomial Regression [MATHCAD] Comparing with and without Data Linearization [MATHCAD] |
||
|
Adequacy of a Regression Model |
||
|
Adequacy [MATHCAD] |
||
|
Integration |
||
|
Trapezoidal Rule |
||
|
Method [MATHCAD] Convergence [MATHCAD] |
||
|
Simpson's 1/3rd Rule |
||
|
Method [MATHCAD] Convergence [MATHCAD] |
||
|
Romberg Rule |
||
|
Method [MATHCAD] Convergence [MATHCAD] |
||
|
Gauss-Quadrature Rule |
||
|
Method [MATHCAD] Convergence [MATHCAD] |
||
|
Integrating Discrete Functions |
||
|
Integrating discrete functions [MATHCAD] |
||
|
|
||
|
ORDINARY DIFFERENTIAL EQUATIONS |
||
|
Euler's Method |
||
|
Method [MATHCAD] Convergence [MATHCAD] |
||
|
Runge-Kutta 2nd order Method |
||
|
Method [MATHCAD] Convergence [MATHCAD] |
||
|
Runge-Kutta 4th order Method |
||
|
Method [MATHCAD] Convergence [MATHCAD] |
||
|
Shooting Method |
||
|
Method [MATHCAD] |
||
|
Finite Difference Method |
||
|
Method [MATHCAD] |
||
|
AUDIENCE | AWARDS | PEOPLE | TRACKS | DISSEMINATION | PUBLICATIONS
|
||||
|
Copyrights:
Un |
||||