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  2. Inverse kinematics - Wikipedia

    en.wikipedia.org/wiki/Inverse_kinematics

    Inverse kinematics is an example of the kinematic analysis of a constrained system of rigid bodies, or kinematic chain. The kinematic equations of a robot can be used to define the loop equations of a complex articulated system. These loop equations are non-linear constraints on the configuration parameters of the system.

  3. Linear programming - Wikipedia

    en.wikipedia.org/wiki/Linear_programming

    Linear programming is a special case of mathematical programming (also known as mathematical optimization ). More formally, linear programming is a technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints. Its feasible region is a convex polytope, which is a set defined as the ...

  4. Big M method - Wikipedia

    en.wikipedia.org/wiki/Big_M_method

    Big M method. In operations research, the Big M method is a method of solving linear programming problems using the simplex algorithm. The Big M method extends the simplex algorithm to problems that contain "greater-than" constraints. It does so by associating the constraints with large negative constants which would not be part of any optimal ...

  5. Integer programming - Wikipedia

    en.wikipedia.org/wiki/Integer_programming

    Integer programming. An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers. In many settings the term refers to integer linear programming (ILP), in which the objective function and the constraints (other than the integer constraints) are linear .

  6. Convex optimization - Wikipedia

    en.wikipedia.org/wiki/Convex_optimization

    Convex optimization is a subfield of mathematical optimization that studies the problem of minimizing convex functions over convex sets (or, equivalently, maximizing concave functions over convex sets). Many classes of convex optimization problems admit polynomial-time algorithms, [1] whereas mathematical optimization is in general NP-hard.

  7. Linear video editing - Wikipedia

    en.wikipedia.org/wiki/Linear_video_editing

    Linear video editing. Linear video editing is a video editing post-production process of selecting, arranging, and modifying images and sound in a predetermined, ordered sequence. [1] Regardless of whether it was captured by a video camera, [2] tapeless camcorder, or recorded in a television studio on a video tape recorder (VTR) the content ...

  8. Event-driven programming - Wikipedia

    en.wikipedia.org/wiki/Event-driven_programming

    In computer programming, event-driven programming is a programming paradigm in which the flow of the program is determined by external events. Typical event can be UI events from mice, keyboards, touchpads and touchscreens, or external sensor inputs, or be programmatically generated ( message passing) from other programs or threads, or network ...

  9. Video editing - Wikipedia

    en.wikipedia.org/wiki/Video_editing

    Video editing. Video editing is the post-production and arrangement of video shots. To showcase perfect video editing to the public, video editors must be reasonable and ensure they have a superior understanding of film, television, and other sorts of videography. [1] Video editing structures and presents all video information, including films ...

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