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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 ]

Worksheets in Mathcad

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WORKSHEETS IN MATHCAD

INTRODUCTION TO SCIENTIFIC COMPUTING

Measuring Errors

True Error[MATHCAD]Approximate Error[MATHCAD]

Binary Representation

Decimal to binary representation[MATHCAD]Binary to decimalrepresentation[MATHCAD]

Measuring Errors

Decimal tofloating pointrepresentation[MATHCAD]Binary to floating point representation[MATHCAD]

Propagation of Errors

Propagation of Errors[MATHCAD]

DIFFERENTIATION

Continuous Functions

Forward Divided Difference [MATHCAD]BackwardDivided 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]