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  2. PDFescape - Wikipedia

    en.wikipedia.org/wiki/PDFescape

    PDFescape is an advertising- and fee-supported PDF editor program written in JavaScript, HTML, CSS and ASP. It has an online and Windows version. It features PDF editing, form filling, page arrangement, printing, saving, and form publishing. A premium ad free version is available for a fee. Form publishing requires additional fees.

  3. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    Proprietary software for viewing and editing PDF documents. pdftk: GNU GPL/Proprietary: command-line tools to manipulate, edit and convert documents; supports filling of PDF forms with FDF/XFDF data. PDF-XChange Viewer: Freeware: Freeware PDF reader, tagger, editor (simple editions) and converter (free for non-commercial uses).

  4. Euler Mathematical Toolbox - Wikipedia

    en.wikipedia.org/wiki/Euler_Mathematical_Toolbox

    Euler Mathematical Toolbox (or EuMathT; formerly Euler) is a free and open-source numerical software package. It contains a matrix language, a graphical notebook style interface, and a plot window. Euler is designed for higher level math such as calculus, optimization, and statistics.

  5. PDF-XChange Viewer - Wikipedia

    en.wikipedia.org/wiki/PDF-XChange_Viewer

    PDF-XChange Viewer (now superseded by the PDF-XChange Editor) is a freemium PDF reader for Microsoft Windows. It supports saving PDF forms and importing or exporting form data in FDF/XFDF format. Since version 2.5, there has been partial support for XFA, and exporting form data in XML Data Package (XDP) or XML format.

  6. Vectorization (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Vectorization_(mathematics)

    B i consists of n block matrices of size m × m, stacked column-wise, and all these matrices are all-zero except for the i-th one, which is a m × m identity matrix I m. Then the vectorized version of X can be expressed as follows: vec ⁡ ( X ) = ∑ i = 1 n B i X e i {\displaystyle \operatorname {vec} (\mathbf {X} )=\sum _{i=1}^{n}\mathbf {B ...

  7. Direct stiffness method - Wikipedia

    en.wikipedia.org/wiki/Direct_stiffness_method

    The system stiffness matrix K is square since the vectors R and r have the same size. In addition, it is symmetric because k m {\displaystyle \mathbf {k} ^{m}} is symmetric. Once the supports' constraints are accounted for in (2), the nodal displacements are found by solving the system of linear equations (2), symbolically: