Computational Mathematics in Engineering |
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Numerical Evaluation of Matrices and Simulta | 1 |
Choleskis Method | 7 |
Illconditioned Matrices | 19 |
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a-ẞ tracker A₁ Assume calculate central difference characteristic vector coefficients column constraints convergence corresponding D₁ data points defined Denoting derivative diagonal difference operator differential equation Digital Computer Methods digital filter elements equa error estimate evaluated expected value exponential distribution F₁ Figure finite difference Formulate the solution Fourier series Fourier transform frequency function F G₁ Gaussian given Hovanessian initial vector input inverse k₁ Kalman filtering Lagrangian least-squares linear programming McGraw-Hill multipliers Note number of data Obtain the values optimization P₁ parameters percent polynomial probability density function quadratic programming random numbers recursive represents result second characteristic value set of equations similarity transformation simultaneous equations solve step symmetrical symmetrical matrix Table Taylor series Theorem three iterations tion values and vectors variable W⁰ x₁ y₁ Y₂ Yi+1 Yn+1 York zero λ₁ λι