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Suppose we evaluate the expression (list 1 (list 2 (list 3 4))). Give the result printed by the interpreter, the corresponding box-and-pointer structure, and the interpretation of this as a tree (as in figure 2.6).

Short Answer

Expert verified
The result printed is [1, [2, [3, 4]]]; box-and-pointer and tree depict nested lists with 1, 2, and 3, 4.

Step by step solution

01

Evaluating the Expression

The given expression is \((\text{list} \ 1 \ (\text{list} \ 2 \ (\text{list} \ 3 \ 4)))\). This creates a nested list structure where each \(\text{list}\) function call produces a new list: the outer \(\text{list}\) wrapping the number 1 and another list that wraps the number 2 and another list containing 3 and 4.
02

Printing the Result

The interpreter prints the result of the expression: \([1, [2, [3, 4]]] \). This indicates a list containing 1 and another list that contains 2 and another list with the numbers 3 and 4. It shows the nested list structure clearly.
03

Constructing Box-and-Pointer Diagram

In the box-and-pointer diagram, we visualize the nested list: a single box with a pointer to another box, and this continues until the base elements (1, 2, 3, 4) are reached. For example, the first box points to 1 and the second box which contains a pointer to 2 and another box.
04

Converting into a Tree

The tree structure interpretation translates nested lists into branches and leaf nodes of a tree. The root is 1 with a single child containing 2, which itself has a child containing 3 and 4. The tree branches at each \(\text{list}\) call, showing the hierarchy, with 1 at the top-level with subsequent nested structures.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding Box-and-Pointer Diagrams
Box-and-pointer diagrams are a visual way to represent list structures. They help to understand how elements and sub-elements are connected. Each list is shown as a box, and inside there are pointers leading to either another box (another list) or a terminal value (like a number). For the expression
\[ (\text{list} \ 1 \ (\text{list} \ 2 \ (\text{list} \ 3 \ 4))) \], each level of list nesting has its own box:
  • The first box contains a pointer to 1 and to another box.
  • The second box has a pointer to 2 and leads to a third box.
  • This third box points to both 3 and 4 at its conclusion.
This diagrammatic approach aids in visualizing the links and hierarchies within nested lists easily. The process of drawing them helps to clarify the complexity often seen in list structures, making it simpler to track how components relate to each other.
Tree Structures and List Transformation
Transforming list structures into tree diagrams provides a hierarchical perspective of nested lists. Trees consist of nodes representing list elements and branches connecting them based on their nested relationships. Considering the expression
\[ (\text{list} \ 1 \ (\text{list} \ 2 \ (\text{list} \ 3 \ 4))) \], the tree structure represents these relationships:
  • The root node is 1, at the top.
  • It has a child node 2.
  • This child node further branches to a node containing both 3 and 4, representing the deepest nesting level.
Tree structures highlight how each list element is related, clarifying the hierarchy. Using this tree representation makes it easier to visualize and analyze the nested nature of lists effectively.
List Evaluation in Expressions
Evaluating expressions in list structures involves traversing through nested lists and identifying their compositions. In the expression
\[ (\text{list} \ 1 \ (\text{list} \ 2 \ (\text{list} \ 3 \ 4))) \], initial evaluation starts with identifying the numbers and incrementally enclosing them within list functions:
  • The inner list creates \([3, 4]\).
  • The middle list builds \([2, [3, 4]]\).
  • The outermost list wraps it all to form \([1, [2, [3, 4]]] \).
The task of evaluating nested list expressions rests on identifying each layer of lists and their corresponding values. By breaking down the structure into simpler parts, the overall outcome becomes clear. This method provides a straightforward way to interpret complex expressions through step-by-step unveiling of their nested components.

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Most popular questions from this chapter

The following procedure takes as its argument a list of symbol-frequency pairs (where no symbol appears in more than one pair) and generates a Huffman encoding tree according to the Huff man algorithm. (define (generate-huffman-tree pairs) (successive-merge (make-leaf-set pairs))) Make-leaf-set is the procedure given above that transforms the list of pairs into an ordered set of leaves. Successive-merge is the procedure you must write, using make-code-tree to successively merge the smallest-weight elements of the set until there is only one element left, which is the desired Huffman tree. (This procedure is slightly tricky, but not really complicated. If you find yourself designing a complex procedure, then you are almost certainly doing something wrong. You can take significant advantage of the fact that we are using an ordered set representation.)

We can represent a set as a list of distinct elements, and we can represent the set of all subsets of the set as a list of lists. For example, if the set is (1 23 ), then the set of all subsets is (() (3) (2) (2 3) (1) (\begin{array}{ll 3) (1 2) (1 } 2 3 ) \text { ). } Complete the following definition of a procedure that generates the set of subsets of a set and give a clear explanation of why it works: (define (subsets s) (if (null? s) (list nil) (let ((rest (subsets (cdr s)))) (append rest (map (??) rest)))))

Two lists are said to be equal? if they contain equal elements arranged in the same order. For example, (equal? '(this is a list) '(this is a list)) is true, but (equal? '(this is a list)' (this (is a) list)) is false. To be more precise, we can define equal? recursively in terms of the basic eq? equality of symbols by saying that a and b are equal? if they are both symbols and the symbols are eq?, or if they are both lists such that (car a) is equal? to (car b) and (cdr a) is equal? to (cdr b). Using this idea, implement equal? as a procedure. \({ }^{36}\)

Write a procedure to find all ordered triples of distinct positive integers \(i, j\), and \(k\) less than or equal to a given integer \(n\) that sum to a given integer \(s\).

Define a procedure square-tree analogous to the square-list procedure of exercise \(2.21\). That is, square-tree should behave as follows: Define square-tree both directly (i.e., without using any higher-order procedures) and also by using map and recursion.

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