Sensitivity of Solutions

Related lectures (27)

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Focuses on numerical modelling of atmospheric processes to predict weather and climate phenomena, covering key concepts and methods.

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

Covers Ordinary Differential Equations, first-order solutions, and numerical methods for IVP and BVP.

Explores orthogonality, dot product properties, vector norms, and angle definitions in vector spaces.

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

Explains Lagrange interpolation for numerical integration and introduces Simpson's rules.

Explores backward and central differences for numerical differentiation, analyzing their properties and error analysis.

Explores inference for stochastic differential equations, focusing on numerical methods and convergence analysis.

Covers Richardson extrapolation for numerical differentiation to reduce error.

Covers the basics of numerical analysis and computational methods using Python, focusing on algorithms and practical applications in mathematics.