Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data. What this data consists of ...

An efficient algorithm for solving linear goal programming problems using partitioning and elimination procedures is presented. The algorithm takes advantage of the definition of ordinal preemptive ...

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

Using a sequence of steps to solve a problem. Scientific applications, forecasting, decision making, quantum computing and AI use algorithms routinely. Computer programming is used to implement the ...

A programming language that is based primarily on writing algorithms (functions). The syntax of functional programming (FP) is mathematical, and the languages are used for applications such as ...