Computer programming may seem like magic these days, but most programs are built from conceptual steps that use visual aids to work out how the program needs to flow. Each function of a program can be ...

We present an O(√n L)-iteration homogeneous and self-dual linear programming (LP) algorithm. The algorithm possesses the following features: • It solves the linear programming problem without any ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Figure 1： The flowchart of ACDPC iterative reconstruction joint optimization algorithm. (a) ACDPC imaging system based on half-annular illumination. (b) Three annular illumination patterns and their ...

This is a preview. Log in through your library . Abstract The main result of this paper is a group theoretic algorithm (GTIP2) for the integer programming problem. This algorithm is an extension of an ...

It is easy to see how a program flows. For example, where does following one path, as opposed to another, take the program? Flowcharts follow an international standard - it is easy for any flowchart ...