Starting Out with C++ from Control Structures to Objects (9th Edition)
9th Edition
ISBN: 9780134498379
Author: Tony Gaddis
Publisher: PEARSON
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Chapter 6, Problem 23RQE
The _______ statement causes a function to end immediately.
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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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Chapter 6 Solutions
Starting Out with C++ from Control Structures to Objects (9th Edition)
Ch. 6.2 - Is the following a function header or a function...Ch. 6.2 - Is the following a function header or a function...Ch. 6.2 - What will the output of the following program be...Ch. 6.2 - The following program skeleton determines whether...Ch. 6.6 - Indicate which of the following is the function...Ch. 6.6 - Write a function named timesTen. The function...Ch. 6.6 - Write a function prototype for the timesTen...Ch. 6.6 - Prob. 6.8CPCh. 6.6 - What is the output of the following program?...Ch. 6.6 - The following program skeleton asks for the number...
Ch. 6.9 - How many return values may a function have?Ch. 6.9 - Write a header for a function named distance. The...Ch. 6.9 - Write a header for a function named days. The...Ch. 6.9 - Write a header for a function named getKey. The...Ch. 6.9 - Write a header for a function named lightYears....Ch. 6.11 - What is the difference between a static local...Ch. 6.11 - Prob. 6.17CPCh. 6.11 - Prob. 6.18CPCh. 6.13 - Prob. 6.19CPCh. 6.13 - Write the prototype and header for a function...Ch. 6.13 - Write the prototype and header for a function...Ch. 6.13 - What is the output of the following program?...Ch. 6.13 - The following program asks the user to enter two...Ch. 6.15 - What is the output of the following program?...Ch. 6.15 - What is the output of the following program?...Ch. 6 - Why do local variables lose their values between...Ch. 6 - What is the difference between an argument and a...Ch. 6 - Where do you define parameter variables?Ch. 6 - If you are writing a function that accepts an...Ch. 6 - When a function accepts multiple arguments, does...Ch. 6 - How do you return a value from a function?Ch. 6 - What is the advantage of breaking your...Ch. 6 - How would a static local variable be useful?Ch. 6 - Give an example where passing an argument by...Ch. 6 - The_______ is the part of a function definition...Ch. 6 - If a function doesnt return a value, the word...Ch. 6 - Either a functions _______ or its _______ must...Ch. 6 - Values that are sent into a function are called...Ch. 6 - Special variables that hold copies of function...Ch. 6 - When only a copy of an argument is passed to a...Ch. 6 - A(n) _______ eliminates the need to place a...Ch. 6 - A(n) _______ variable is defined inside a function...Ch. 6 - _______ variables are defined outside all...Ch. 6 - _______ variables provide an easy way to share...Ch. 6 - Unless you explicitly initialize global variables,...Ch. 6 - If a function has a local variable with the same...Ch. 6 - _______ local variables retain their value between...Ch. 6 - The _______ statement causes a function to end...Ch. 6 - _______ arguments are passed to parameters...Ch. 6 - When a function uses a mixture of parameters with...Ch. 6 - Prob. 26RQECh. 6 - When used as parameters, _______ variables allow a...Ch. 6 - Reference variables are defined like regular...Ch. 6 - Reference variables allow arguments to be passed...Ch. 6 - The _______ function causes a program to...Ch. 6 - Two or more functions may have the same name, as...Ch. 6 - Examine the following function header, then write...Ch. 6 - The following statement calls a function named...Ch. 6 - A program contains the following function: int...Ch. 6 - Write a function named timesTen that accepts an...Ch. 6 - A program contains the following function: void...Ch. 6 - Write a function named getNumber that uses a...Ch. 6 - T F Functions should be given names that reflect...Ch. 6 - Prob. 39RQECh. 6 - T F Function prototypes are terminated with a...Ch. 6 - T F If other functions are defined before main,...Ch. 6 - T F When a function terminates, it always branches...Ch. 6 - T F Arguments are passed to the function...Ch. 6 - T F The scope of a parameter is limited to the...Ch. 6 - T F Changes to a function parameter always affect...Ch. 6 - T F In a function prototype, the names of the...Ch. 6 - T F Many functions may have local variables with...Ch. 6 - T F Overuse of global variables can lead to...Ch. 6 - T F Static local variables are not destroyed when...Ch. 6 - T F All static local variables are initialized to...Ch. 6 - T F Initialization of static local variables only...Ch. 6 - T F When a function with default arguments is...Ch. 6 - T F It is not possible for a function to have some...Ch. 6 - T F The exit function can only be called from...Ch. 6 - T F A stub is a dummy function that is called...Ch. 6 - Each of the following functions has errors. Locate...Ch. 6 - double average(int value1, int value2, int value3)...Ch. 6 - void area(int length =30, int width) { return...Ch. 6 - void getValue(int value) { cout "Enter a value:...Ch. 6 - (Overloaded functions) int getValue() { int...Ch. 6 - Markup Write a program that asks the user to enter...Ch. 6 - Rectangle AreaComplete the Program If you have...Ch. 6 - Winning Division Write a program that determines...Ch. 6 - Safest Driving Area Write a program that...Ch. 6 - Falling Distance When an object is falling because...Ch. 6 - Kinetic Energy In physics, an object that is in...Ch. 6 - Celsius Temperature Table The formula for...Ch. 6 - Coin Toss Write a function named coinToss that...Ch. 6 - Present Value Suppose you want to deposit a...Ch. 6 - Future Value Suppose you have a certain amount of...Ch. 6 - Lowest Score Drop Write a program that calculates...Ch. 6 - Star Search A particular talent competition has...Ch. 6 - Days Out Write a program that calculates the...Ch. 6 - Order Status The Middletown Wholesale Copper Wire...Ch. 6 - Overloaded Hospital Write a program that computes...Ch. 6 - Population In a population, the birth rate is the...Ch. 6 - Transient Population Modify Programming Challenge...Ch. 6 - Paint Job Estimator A painting company has...Ch. 6 - Prob. 19PCCh. 6 - Stock Profit The profit from the sale of a stock...Ch. 6 - Multiple Stock Sales Use the function that you...Ch. 6 - isPrime Function A prime number is a number that...Ch. 6 - Prob. 23PCCh. 6 - Rock, Paper, Scissors Game Write a program that...Ch. 6 - Group Project 25. Travel Expenses This program...
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- Here are two diagrams. Make them very explicit, similar to Example Diagram 3 (the Architecture of MSCTNN). graph LR subgraph Teacher_Model_B [Teacher Model (Pretrained)] Input_Teacher_B[Input C (Complete Data)] --> Teacher_Encoder_B[Transformer Encoder T] Teacher_Encoder_B --> Teacher_Prediction_B[Teacher Prediction y_T] Teacher_Encoder_B --> Teacher_Features_B[Internal Features F_T] end subgraph Student_B_Model [Student Model B (Handles Missing Labels)] Input_Student_B[Input C (Complete Data)] --> Student_B_Encoder[Transformer Encoder E_B] Student_B_Encoder --> Student_B_Prediction[Student B Prediction y_B] end subgraph Knowledge_Distillation_B [Knowledge Distillation (Student B)] Teacher_Prediction_B -- Logits Distillation Loss (L_logits_B) --> Total_Loss_B Teacher_Features_B -- Feature Alignment Loss (L_feature_B) --> Total_Loss_B Partial_Labels_B[Partial Labels y_p] -- Prediction Loss (L_pred_B) --> Total_Loss_B Total_Loss_B -- Backpropagation -->…arrow_forwardPlease provide me with the output image of both of them . below are the diagrams code 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 --> Student_A_Features[Student A Features F_A] end subgraph Knowledge_Distillation_A [Knowledge Distillation (Student A)] Teacher_Prediction -- Logits Distillation Loss (L_logits_A) --> Total_Loss_A Teacher_Features -- Feature Alignment Loss (L_feature_A) --> Total_Loss_A Ground_Truth_A[Ground Truth y_gt] -- Prediction Loss (L_pred_A)…arrow_forwardI'm reposting my question again please make sure to avoid any copy paste from the previous answer because those answer did not satisfy or responded to the need that's why I'm asking again The knowledge distillation part is not very clear in the diagram. Please create two new diagrams by separating the two student models: First Diagram (Student A - Missing Values): Clearly illustrate the student training process. Show how knowledge distillation happens between the teacher and Student A. Explain what the teacher teaches Student A (e.g., handling missing values) and how this teaching occurs (e.g., through logits, features, or attention). Second Diagram (Student B - Missing Labels): Similarly, detail the training process for Student B. Clarify how knowledge distillation works between the teacher and Student B. Specify what the teacher teaches Student B (e.g., dealing with missing labels) and how the knowledge is transferred. Since these are two distinct challenges…arrow_forward
- The knowledge distillation part is not very clear in the diagram. Please create two new diagrams by separating the two student models: First Diagram (Student A - Missing Values): Clearly illustrate the student training process. Show how knowledge distillation happens between the teacher and Student A. Explain what the teacher teaches Student A (e.g., handling missing values) and how this teaching occurs (e.g., through logits, features, or attention). Second Diagram (Student B - Missing Labels): Similarly, detail the training process for Student B. Clarify how knowledge distillation works between the teacher and Student B. Specify what the teacher teaches Student B (e.g., dealing with missing labels) and how the knowledge is transferred. Since these are two distinct challenges (missing values vs. missing labels), they should not be combined in the same diagram. Instead, create two separate diagrams for clarity. For reference, I will attach a second image…arrow_forwardNote : please avoid using AI answer the question by carefully reading it and provide a clear and concise solutionHere is a clear background and explanation of the full method, including what each part is doing and why. Background & Motivation Missing values: Some input features (sensor channels) are missing for some samples due to sensor failure or corruption. Missing labels: Not all samples have a ground-truth RUL value. For example, data collected during normal operation is often unlabeled. Most traditional deep learning models require complete data and full labels. But in our case, both are incomplete. If we try to train a model directly, it will either fail to learn properly or discard valuable data. What We Are Doing: Overview We solve this using a Teacher–Student knowledge distillation framework: We train a Teacher model on a clean and complete dataset where both inputs and labels are available. We then use that Teacher to teach two separate Student models: Student A learns…arrow_forwardHere is a clear background and explanation of the full method, including what each part is doing and why. Background & Motivation Missing values: Some input features (sensor channels) are missing for some samples due to sensor failure or corruption. Missing labels: Not all samples have a ground-truth RUL value. For example, data collected during normal operation is often unlabeled. Most traditional deep learning models require complete data and full labels. But in our case, both are incomplete. If we try to train a model directly, it will either fail to learn properly or discard valuable data. What We Are Doing: Overview We solve this using a Teacher–Student knowledge distillation framework: We train a Teacher model on a clean and complete dataset where both inputs and labels are available. We then use that Teacher to teach two separate Student models: Student A learns from incomplete input (some sensor values missing). Student B learns from incomplete labels (RUL labels missing…arrow_forward
- here is a diagram code : graph LR subgraph Inputs [Inputs] A[Input C (Complete Data)] --> TeacherModel B[Input M (Missing Data)] --> StudentA A --> StudentB end subgraph TeacherModel [Teacher Model (Pretrained)] C[Transformer Encoder T] --> D{Teacher Prediction y_t} C --> E[Internal Features f_t] end subgraph StudentA [Student Model A (Trainable - Handles Missing Input)] F[Transformer Encoder S_A] --> G{Student A Prediction y_s^A} B --> F end subgraph StudentB [Student Model B (Trainable - Handles Missing Labels)] H[Transformer Encoder S_B] --> I{Student B Prediction y_s^B} A --> H end subgraph GroundTruth [Ground Truth RUL (Partial Labels)] J[RUL Labels] end subgraph KnowledgeDistillationA [Knowledge Distillation Block for Student A] K[Prediction Distillation Loss (y_s^A vs y_t)] L[Feature Alignment Loss (f_s^A vs f_t)] D -- Prediction Guidance --> K E -- Feature Guidance --> L G --> K F --> L J -- Supervised Guidance (if available) --> G K…arrow_forwarddetails explanation and background We solve this using a Teacher–Student knowledge distillation framework: We train a Teacher model on a clean and complete dataset where both inputs and labels are available. We then use that Teacher to teach two separate Student models: Student A learns from incomplete input (some sensor values missing). Student B learns from incomplete labels (RUL labels missing for some samples). We use knowledge distillation to guide both students, even when labels are missing. Why We Use Two Students Student A handles Missing Input Features: It receives input with some features masked out. Since it cannot see the full input, we help it by transferring internal features (feature distillation) and predictions from the teacher. Student B handles Missing RUL Labels: It receives full input but does not always have a ground-truth RUL label. We guide it using the predictions of the teacher model (prediction distillation). Using two students allows each to specialize in…arrow_forwardWe are doing a custom JSTL custom tag to make display page to access a tag handler. Write two custom tags: 1) A single tag which prints a number (from 0-99) as words. Ex: <abc:numAsWords val="32"/> --> produces: thirty-two 2) A paired tag which puts the body in a DIV with our team colors. Ex: <abc:teamColors school="gophers" reverse="true"> <p>Big game today</p> <p>Bring your lucky hat</p> <-- these will be green text on blue background </abc:teamColors> Details: The attribute for numAsWords will be just val, from 0 to 99 - spelling, etc... isn't important here. Print "twenty-six" or "Twenty six" ... . Attributes for teamColors are: school, a "required" string, and reversed, a non-required boolean. - pick any four schools. I picked gophers, cyclones, hawkeyes and cornhuskers - each school has two colors. Pick whatever seems best. For oine I picked "cyclones" and red text on a gold body - if…arrow_forward
- I want a database on MySQL to analyze blood disease analyses with a selection of all its commands, with an ER drawing, and a complete chart for normalization. I want them completely.arrow_forwardAssignment Instructions: You are tasked with developing a program to use city data from an online database and generate a city details report. 1) Create a new Project in Eclipse called "HW7". 2) Create a class "City.java" in the project and implement the UML diagram shown below and add comments to your program. 3) The logic for the method "getCityCategory" of City Class is below: a. If the population of a city is greater than 10000000, then the method returns "MEGA" b. If the population of a city is greater than 1000000 and less than 10000000, then the method returns "LARGE" c. If the population of a city is greater than 100000 and less than 1000000, then the method returns "MEDIUM" d. If the population of a city is below 100000, then the method returns "SMALL" 4) You should create another new Java program inside the project. Name the program as "xxxx_program.java”, where xxxx is your Kean username. 3) Implement the following methods inside the xxxx_program program The main method…arrow_forwardCPS 2231 - Computer Programming – Spring 2025 City Report Application - Due Date: Concepts: Classes and Objects, Reading from a file and generating report Point value: 40 points. The purpose of this project is to give students exposure to object-oriented design and programming using classes in a realistic application that involves arrays of objects and generating reports. Assignment Instructions: You are tasked with developing a program to use city data from an online database and generate a city details report. 1) Create a new Project in Eclipse called "HW7”. 2) Create a class "City.java" in the project and implement the UML diagram shown below and add comments to your program. 3) The logic for the method "getCityCategory" of City Class is below: a. If the population of a city is greater than 10000000, then the method returns "MEGA" b. If the population of a city is greater than 1000000 and less than 10000000, then the method returns "LARGE" c. If the population of a city is greater…arrow_forward
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