University Mathematics

Numerical Analysis

Solving mathematical problems that cannot be solved analytically by using numerical approaches and computer algorithms.

Curriculum / Syllabus

  1. Solutions of Equations in One Variable
  2. Interpolation and Polynomial Approximation
  3. Numerical Differentiation and Integration
  4. Initial-Value Problems for ODEs
  5. Iterative Techniques in Matrix Algebra
  6. Approximating Eigenvalues

Exam & Course Strategy

Tests the error analysis (error bounds) of algorithms, rates of convergence, and the programmable logic of numerical methods (Newton-Raphson, Runge-Kutta).

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