Minimal models for Propositional Formulas

We look at metaprogramming in Julia. We illustrate parse and eval using the problem of determining a minimal model for a given propositional formula. The computation of minimal models is of interest in answer set programming, as they are used to define stable models 1. The problem of finding a minimal model is NP-complete, whereas the problem of finding a stable model for a given set of propositional statements is $\Sigma_{2}^{P}$ complete.

Binary Search Trees

Let us implement in julia 0.6.0 a binary search tree to store integers. Each node is either of type Nil or of type bst, as declared below. Type Nil is used a null pointer. We use type union MayBe to hold either a Nil() or a bst. At the start the tree is empty so it is initialized to Nil(). Removing the type declaration from the data element should be sufficient to store datatypes for which a comparator is implemented.

Splay Trees in Julia Lang

Let us implement Splay Trees in Julia which is, relatively new and popular, dynamically typed language with multiple dispatch. We model a node in the splay tree as an abstract data type. Each node contains a single integer data value and two references to the left and the right subtrees. The subtrees can be empty, as in the case of leaf nodes, and we model this by using the Nil type.