IT.I1.NUMMAT2.0.Ex
Numerical Methods and Optimization II.

About This Course

Numerical analysis can be defined as ”the study of methods and procedures used to obtain approximate solutions to mathematical problems.” This definition does pinpoint some of the key issues in numerical analysis, namely, approximate solution (there is usually no reasonable hope of obtaining the exact solution); mathematical problems; the study of methods and procedures. Among others the materials to be covered during the course are as follows: The eigenvalue-eigenvector problem. The power method, QR method. Interpolation. Lagrange interpolation, spline functions. Least squares approximation. Numerical derivation and integration. Numerical solution of nonlinear equations. Nonlinear optimization: finite dimensional constrained and unconstrained optimization.

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