ITK/Release 4/Refactor Numerical Libraries/Inventory

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In this page we collect an inventory of numerical libraries in ITK base on the state of the code at the ITKv4-Alpha09 Git tag.


ITK Numerical Needs

ITK needs for numerical libraries fall in the following broad categories


  • Non-Linear Optimization
  • Eigen Analysis
  • Non-Linear Solvers
    • Dense Matrices (typically small, less than 100x100)
    • Sparse Matrices
    • Large Sparse Matrices (e.g. FEM type problems)
  • Matrix / Vector operations
    • A lot of them are
      • Matrix . Matrix operations (for matrix size 2x2, 3x3, 4x4, 3x4)
      • Matrix . Vector operations (for matrix size 2x2, 3x3, 4x4, 3x4)


Architecture

  • ITK is focused on shared memory systems
    • Multi-Core machines
    • Exploits Multi-threaded implementations

Portability

ITK is intended to work in the most popular platforms.

More specifically

  • Windows
  • Linux
  • Macs

With commonly used compilers

  • Visual Studio 7.1 to 10
  • GCC 3.4 to 4.6
  • Intel Compiler
  • Sun CC compiler

A more detailed list of supported compiles can be found here:

Libraries Used

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