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MTH 510 Course - MTH510 Numerical Analysis Ryerson University Spring 2009 Course Outline Objective To study numerical techniques used to solve

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MTH510 Numerical Analysis Ryerson University, Spring 2009 Course Outline Objective : To study numerical techniques used to solve various types of engineering problems. The implementation of standard numerical algorithms are mastered and results are calculated with precision. The strengths and limits of each algorithm are understood as well as which technique is most suitable for a given problem. The standard math package MATLAB shall be used 1 Numerical Computations Measures of Error Finite precision arithmetic Round-off error, Truncation error Error propagation Conditioning 2 Non-Linear Equations in One Variable Bracketing methods Open methods Roots of Polynomials 3 Systems of Linear Equations Gauss-Elimination LU Decomposition Symmetric matrices Eigenvalue 4 Computational Linear Algebra Vector and matrix norm Conditioning 5 Iterative Methods for Linear Equations Jacobi, Gauss-Seidel, SOR Iterative Refinement and conditioning 6 Interpolation Lagrange polynomials, Divided differences
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This note was uploaded on 09/29/2010 for the course COMPUTER S cps615 taught by Professor Pro during the Spring '10 term at Randolph College.

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MTH 510 Course - MTH510 Numerical Analysis Ryerson University Spring 2009 Course Outline Objective To study numerical techniques used to solve

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