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 ...

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 ...

Successive Linear Programming (SLP) algorithms solve nonlinear optimization problems via a sequence of linear programs. They have been widely used, particularly in the oil and chemical industries, ...

This is an advanced undergraduate course on algorithms. This course examines such topics as greedy algorithms, dynamic programming, graph algorithms, string processing, and algorithms for ...

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

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 ...