liveBook · Manning

Constraint-satisfaction framework

As explained in Classic Computer Science Problems in Swift: Essential techniques for practicing programmers

A constraint-satisfaction framework represents variables, their possible values, and constraints and provides procedures for finding satisfying assignments.

A constraint-satisfaction framework gathers variables, domains, and constraints into a reusable CSP type. Generic variable and domain types let the same structure represent different problems. section 3.1

The framework separates representation from search:

  • Variables form an array, while domains map each variable to possible values. section 3.1
  • Constraints identify the variables they affect and override isSatisfied to test assignments. section 3.1

How Classic Computer Science Problems in Swift: Essential techniques for practicing programmers covers it

How deep it goes
Explains generic representation, constraint checks, and simple recursive backtracking, while deferring advanced optimization.
Examples
Uses Swift structs, dictionaries, a Constraint base class, consistency checking, and recursive search functions.
What you can do after
Build it from scratch as a generic Swift CSP and search for a satisfying assignment with backtracking.
How it connects
Connects variables, domains, constraints, assignments, consistency checks, and backtracking search.
Cover of Classic Computer Science Problems in Swift: Essential techniques for practicing programmers
liveBookmanning.com
Read Classic Computer Science Problems in Swift: Essential techniques for practicing programmers on liveBook Get the book at manning.com

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Classic Computer Science Problems in Swift: Essential techniques for practicing programmers. The section links point to the parts of the book it draws on.