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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 ...
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.
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 ...
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 ...
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.
Dynamic programming is widely used in bioinformatics for tasks such as sequence alignment, protein folding, RNA structure prediction and protein-DNA binding. The first dynamic programming algorithms for protein-DNA binding were developed in the 1970s independently by Charles DeLisi in US and Georgii Gurskii and Alexander Zasedatelev in USSR.
Quadratically constrained quadratic program. In mathematical optimization, a quadratically constrained quadratic program ( QCQP) is an optimization problem in which both the objective function and the constraints are quadratic functions. It has the form. where P0, ..., Pm are n -by- n matrices and x ∈ Rn is the optimization variable.
Simple DirectMedia Layer ( SDL) is a cross-platform software development library designed to provide a hardware abstraction layer for computer multimedia hardware components. Software developers can use it to write high-performance computer games and other multimedia applications that can run on many operating systems such as Android, iOS ...
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