Welcome to Suite’s documentation!

• Getting Started
  • Installation from source
  • Installation Ubuntu
  • Install Windows
• Linear Algebra
  • Vectors
  • Matrix
  • Linear Systems
  • Special Matrices
  • Remark
• Gaussian Elimination
  • Example 1
  • Example 2
  • Example 3
  • Example 4
  • Example 5
• Factorization
  • Cholesky factorization
  • Gram-Schmidt
• Sparse Linear Algebra
• Iterative Methods - Jacobi and Gau\(\beta\)-Siedel
  • Jacobi Method
  • Gauss-Seidel
  • Successive Over Relaxation (SOR) Method
  • Jacobi VS Gau\(\beta\)-Seidel
  • Relaxation Parameters
  • Conjugated Gradient
• Parallel Linear Algebra
  • Parallel Dot Product
  • Parallel Matrix Vector Multiplication
  • Parallel Cholesky
• ODE
  • Linear ODE
• Nonlinear ODE
  • Example
  • Example - Gravity Pendulum
  • Example Runge-Kutta - SIR Model
  • Example - Susceptible, Infected, Removed and Vaccinated (SIRV) Model
• Euler-Lagrange Equation
  • Double Pendulum
• Geometry
  • One Dimensional Geometry
• Two Dimensional Geometry
• Finite Difference For Elliptic Problems
  • Example 1 - One Dimensional Laplace Problem
  • Example 2 - One Dimensional Reaction Diffusion
  • Example 3 - One Dimensional Advection Diffusion
  • Example - High order Finite Difference
  • Example - Two Dimensional Poisson Problem
• Finite Difference For Parabolic Problems
  • Example 1 - One Dimensional Homogeneous Heat Equation
  • Example 2 - One Dimensional Homogeneous Heat Equation
  • Example 3 - One Dimensional Heat Equation
  • Example 4 - Two Dimensional Homogeneous Heat Equation
  • Example 5 - Two Dimensional Heat Equation Image Processing
• Cellular Automata
  • Wolfram Rule
    • Class One - Uniform State
    • Class Two - Stable State
    • Class Three and Four - Random State

Indices

• Index

• Module Index

• Search Page