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Rose tree

Rose tree is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Rose tree rather than just read about it. In short: In computing, a rose tree is the value of a tree data structure with a variable and unbounded number of branches per node. The term is mostly used in the functional programming community, e.g., in the context of the Bird–Meertens formalism.

Rose tree — main illustration
Rose tree — illustration

Key takeaways

  • Rose tree belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Rose tree to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Rose tree from memory before moving on to harder problems.

Reference excerpt

In computing, a rose tree is the value of a tree data structure with a variable and unbounded number of branches per node. The term is mostly used in the functional programming community, e.g., in the context of the Bird–Meertens formalism. Apart from the multi-branching property, the most essential characteristic of rose trees is the coincidence of bisimilarity with identity: two distinct rose trees are never bisimilar.

Naming The name "rose tree" was coined by Lambert Meertens to evoke the similarly named, and similarly structured, common rhododendron.

We shall call such trees rose trees, a literal translation of rhododendron (Greek ῥόδον = rose, δένδρον = tree), because of resemblance to the habitus of this shrub, except that the latter does not grow upside-down on the Northern hemisphere.

Recursive definition Well-founded rose trees can be defined by a recursive construction of entities of the following types:

A base entity is an element of a predefined ground set V of values (the "tip"-values).

A branching entity (alternatively, a forking entity or a forest entity) is either of the following sub-types:

A set of entities. A sequence of entities. A partial map from a predefined set Σ of names to entities.

Any of (a)(b)(c) can be empty. Note that (b) can be seen as a special case of (c) – a sequence is just a map from an initial segment of the set N {\displaystyle \mathbb {N} } of natural numbers.

A pairing entity is an ordered pair (F, x) such that F is a branching entity and x is an element of a predefined set L of "label" values. Since a pairing entity can only contain a branching entity as its component, there is an induced division into sub-types (3a), (3b) or (3c) corresponding to sub-types of branching entities.

Typically, only some combinations of entity types are used for the construction. The original paper only considers 1+2b ("sequence-forking" rose trees) and 1+2a ("set-forking" rose trees). In later literature, the 1+2b variant is usually introduced by the following definition:

A rose tree [...] is either a leaf containing a value, or a node that can have an arbitrary list of subtrees. The most common definition used in functional programming (particularly in Haskell) combines 3+2b:

An element of Rose α consists of a labelled node together with a list of subtrees. That is, a rose tree is a pairing entity (type 3) whose branching entity is a sequence (thus of type 2b) of rose trees. Sometimes even the combination 1+3b is considered. The following table provides a summary of the most established combinations of entities.

Notes:

General definition General rose trees can be defined via bisimilarity of accessible pointed multidigraphs with appropriate labelling of nodes and arrows. These structures are generalization of the notion of accessible pointed graph (abbreviated as apg) from non-well-founded set theory. We will use the apq acronym for the below described multidigraph structures. This is meant as an abbreviation of "accessible pointed quiver" where quiver is an established synonym for "multidigraph". In a correspondence to the types of entities used in the recursive definition, each node of an apq is assigned a type (1), (2a), (2b), (2c) or (3). The apqs are subject to conditions that mimic the properties of recursively constructed entities.

A node of type (1) is an element of the predefined set V of ground values.

A node of type (1) does not appear as the source of an arrow.

A node of type (3) appears as the source of exactly one arrow.

The target of the arrow mentioned in (a) is a node of type (2).

Two distinct arrows with the same source node of type (2a) have distinct targets.

A node is labelled iff it is of type (3). The label belongs to the predefined set L.

An arrow is labelled by an index from N {\displaystyle \mathbb {N} } if its source node is of type (2b).

An arrow is labelled by a name from a predefined set Σ if its source node is of type (2c).

Otherwise an arrow is unlabelled.

Labels of arrows with the same source node are distinct.

Labels of arrows with the same source node of type (2b) form an initial segment of N {\displaystyle \mathbb {N} } .

A bisimilarity between apqs 𝒳 = (X, ...) and 𝒴 = (Y, ...) is a relation R ⊆ X × Y between nodes such that the roots of 𝒳 and 𝒴 are R-related and for every pair (x,y) of R-related nodes, the following are satisfied:

The nodes x and y have the same type.

If x and y are of type (1) then they are identical.

If x and y are of type (3) then they have the same label.

For every arrow a of 𝒳 whose source node is x there exists an arrow b of 𝒴 whose source is y and

the target nodes of a and b are R-related,

the labels of a and b, if defined, are identical.

A symmetric condition is satisfied with 𝒳 and 𝒴 interchanged.

… excerpt ends here. Continue reading the full article.

Illustrations

Rose tree illustration
Rose tree illustration

Worked examples

Example 1 — a first encounter with Rose tree

Start with the simplest possible case. Write down what Rose tree claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Rose tree before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Rose tree ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Rose tree

In research
Rose tree appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Rose tree in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Rose tree is common in secondary-school and first-year university syllabi. It links to neighbouring topics Trees (data structures), so understanding it makes those chapters shorter.
In everyday life
Look for Rose tree outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Rose tree in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Rose tree means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Rose tree out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Rose tree in simple terms?

In computing, a rose tree is the value of a tree data structure with a variable and unbounded number of branches per node. The term is mostly used in the functional programming community, e.g., in the context of the Bird–Meertens formalism.

Why does Rose tree matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Rose tree?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Rose tree.

Tags

  • Trees (data structures)

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