Numerical Methods

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KHUDKIBOOK
NUMERICAL METHODS 3142008
FREE PDF 3142008
Code: 3142008 Credits: 5 Semester 4 Mechatronics

Numerical Methods

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Numerical Methods Syllabus — Unit-wise Content

The official GTU curriculum for Numerical Methods (subject code 3142008) as prescribed for Mechatronics · Semester 4 divides the course into 5 units, covering 35 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (3142008)

Unit 1 Mathematical Modeling and Error Analysis

4 lecture hours

  • Mathematical modeling
  • Accuracy and precision
  • Modeling error
  • Inherent error
  • Round-off and truncation errors
  • Absolute error
  • True percentage relative error
  • Approximate percentage relative error

Unit 2 Roots of Nonlinear Equations

6 lecture hours

  • Bisection Method
  • False Position Method
  • Newton- Raphson Method
  • Secant Method
  • Fixed Point Iteration Method
  • Case studies

Unit 3 Systems of Linear Equations

8 lecture hours

  • Gauss Elimination Method
  • Gauss Jordan Method and matrix inversion
  • Pitfalls of elimination methods and techniques for improving solutions
  • Gauss-Seidel Method
  • Gauss-Jacobi Method
  • Convergence criteria
  • Case studies

Unit 4 Curve Fitting

10 lecture hours

  • Least-Squares Regression: Linear regression
  • Linearization of nonlinear relationships (Exponential Model
  • Power Law, Saturation-growth-rate equation)
  • Polynomial regression
  • Multiple linear regression
  • Case studies Finite Differences and Interpolation: Finite difference operators and their relations
  • Newton’s forward and backward difference methods
  • Lagrange’s interpolation method
  • Inverse interpolation
  • Newton’s divided difference method
  • Cubic Spline Interpolation
  • Case studies

Unit 5 Numerical Differentiation and Integration

  • Numerical Differentiation: Derivatives using forward difference and backward difference formulae
  • Case studies 05 Subject Code:3142008 w.e.f

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