Starting Out with C++: Early Objects
Starting Out with C++: Early Objects
8th Edition
ISBN: 9780133360929
Author: Tony Gaddis, Judy Walters, Godfrey Muganda
Publisher: Addison-Wesley
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Chapter 19, Problem 17RQE
Program Plan Intro

Binary tree:

  • It is a tree data structure which comes under hierarchical data structure.
  • It is made of nodes that have a left child, right child and a data element.

Tree traversal:

  • There are 3 common methods,
    • Inorder traversal.
    • Preorder traversal.
    • Postorder traversal.
  • In inorder traversal, the left subtree is encountered first, then data node and then the right subtree.
  • In preorder traversal, the data node is encountered first, then left subtree and then the right subtree.
  • In postorder traversal, the left subtree is encountered first, then right subtree and then the data node.

Algorithm for Inorder traversal:

  • Traverse through the leftmost subtree, and then print the element.
  • Then, print the root node.
  • Now, traverse the rightmost subtree, and then print the element.

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In the diagram, there is a green arrow pointing from Input C (complete data) to Transformer Encoder S_B, which I don’t understand. The teacher model is trained on full data, but S_B should instead receive missing data—this arrow should not point there. Please verify and recreate the diagram to fix this issue. Additionally, the newly created diagram should meet the same clarity standards as the second diagram (Proposed MSCATN). Finally provide the output image of the diagram in image format .
Please provide me with the output  image of both of them . below are the diagrams code  make sure to update the code and mentionned clearly each section also the digram should be clearly describe like in the attached image. please do not provide the same answer like in other question . I repost this question because it does not satisfy the requirment I need in terms of clarifty the output of both code are not very well details  I have two diagram : first diagram code  graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder…
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