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  2. PDFtk - Wikipedia

    en.wikipedia.org/wiki/Pdftk

    PDFtk (short for PDF Toolkit) is a toolkit for manipulating Portable Document Format (PDF) documents. [ 3 ] [ 4 ] It runs on Linux , Windows and macOS . [ 5 ] It comes in three versions: PDFtk Server ( open-source command-line tool ), PDFtk Free ( freeware ) and PDFtk Pro ( proprietary paid ). [ 2 ]

  3. Vector graphics editor - Wikipedia

    en.wikipedia.org/wiki/Vector_graphics_editor

    Generally, vector graphics are more suitable for animation, though there are raster-based animation tools as well. [4] 3D computer graphics software such as Maya, Blender or Autodesk 3ds Max can also be thought of as an extension of the traditional 2D vector editors, as they share some common concepts and tools.

  4. Graphic art software - Wikipedia

    en.wikipedia.org/wiki/Graphic_art_software

    Vector graphics shown via Karbon on AEGeAn Linux desktop Graphic art software [ 1 ] is a subclass of application software used for graphic design , multimedia development, stylized image development , technical illustration , general image editing , or simply to access graphic files .

  5. Graphics - Wikipedia

    en.wikipedia.org/wiki/Graphics

    In 1995, Toy Story, the first full-length computer-generated animation film, was released in cinemas. Since then, computer graphics have become more accurate and detailed, due to more advanced computers and better 3D modeling software applications, such as Maya, 3D Studio Max, and Cinema 4D.

  6. Linear–quadratic regulator - Wikipedia

    en.wikipedia.org/wiki/Linear–quadratic_regulator

    The theory of optimal control is concerned with operating a dynamic system at minimum cost. The case where the system dynamics are described by a set of linear differential equations and the cost is described by a quadratic function is called the LQ problem.

  7. Polynomial regression - Wikipedia

    en.wikipedia.org/wiki/Polynomial_regression

    Polynomial regression models are usually fit using the method of least squares.The least-squares method minimizes the variance of the unbiased estimators of the coefficients, under the conditions of the Gauss–Markov theorem.