Ill-posed Numerical Problems

Related lectures (28)

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Covers exercises related to numerical methods, focusing on computational algorithms and problem-solving strategies.

Covers open methods, Newton-Raphson, and secant method for iterative solutions in numerical methods.

Explores consistency and stability in numerical methods, emphasizing error analysis and the role of boundary conditions.

Covers the numerical approach to derivative calculation, focusing on formulas and methods such as fine differences.

Covers error analysis, stability, and adaptive time stepping in numerical methods, including convergence order and equilibrium points.

Explores iterative numerical methods for solving equations, emphasizing convergence criteria, errors, and starting values' impact.

Covers the derivation of multi-group diffusion equations and the numerical methods for solving the neutron diffusion equation.

Explores the sensitivity of solutions in numerical methods, including linear systems and matrix norms, with an example of deblurring images.

Covers the implementation of numerical methods in MATLAB for solving chemical problems.

Covers derivation, integration, and simulation in Matlab, along with the representation of numbers and potential errors.