Python Programming: An Introduction to Computer Science
Python Programming: An Introduction to Computer Science
3rd Edition
ISBN: 9781590282779
Author: John Zelle
Publisher: Franklin Beedle & Associates
bartleby

Videos

Expert Solution & Answer
Book Icon
Chapter 9, Problem 3D

Explanation of Solution

Top-down model:

  • In python programming, the functions can be called from main code or from any other function.
  • The complexity of a program code can be reduced using a technique called “top-down design”.
  • In top-down design,
    • The programmer concentrates on the important actions that should be done firstly.
    • Here, the programmer defines all the important actions (functions) without worrying about details of how it is done.
    • The functions are handled later.
  • In top down design,
    • The complex problem is divided to smaller sub problems.
    • Then all the smaller sub problem is again applied with the dividing technique.
    • So, eventually the programmer gets the smallest possible divisions which are easy to solve.
    • Finally, all the solved sub-problems are added to get the solution for original complex problem.

Spiral model:

  • The spiral model is introduced by the scientist Barry Boehm in 1986.
  • The phases of a spiral model begin with a design goal and ends with a review progress from client...

Blurred answer
Students have asked these similar questions
Can you help me solve this problem using Master's Theorem:Solve the recurrence relation f(n) = 3af(n/a) + (n + a)2 with f(1) = 1 and a > 1 byfinding an expression for f(n) in big-Oh notation.
here is example 7.6## Example 7.6 Suppose the sample population is χ 2 (2), which is non-normal but with same variance 4. ▶ Repeat the simulation, but replacing the N(0, 4) samples with χ 2 (2) samples. ▶ Calculate the empirical confidence level.(Empirical confidence level) n <- 20 alpha <- 0.05 UCL <- replicate(1000, expr = { x <- rchisq(n,df=2) (n-1)*var(x)/qchisq(alpha,df=n-1) }) sum(UCL >4) mean(UCL > 4) ## t.test function n <- 20 x <- rnorm(n,mean=2) result <- t.test(x,mu=1) result$statistic result$parameter result$p.value result$conf.int result$estimate
using r language
Knowledge Booster
Background pattern image
Computer Science
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781285867168
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Text book image
C++ for Engineers and Scientists
Computer Science
ISBN:9781133187844
Author:Bronson, Gary J.
Publisher:Course Technology Ptr
Text book image
Systems Architecture
Computer Science
ISBN:9781305080195
Author:Stephen D. Burd
Publisher:Cengage Learning
Text book image
CMPTR
Computer Science
ISBN:9781337681872
Author:PINARD
Publisher:Cengage
Text book image
Programming Logic & Design Comprehensive
Computer Science
ISBN:9781337669405
Author:FARRELL
Publisher:Cengage
Text book image
COMPREHENSIVE MICROSOFT OFFICE 365 EXCE
Computer Science
ISBN:9780357392676
Author:FREUND, Steven
Publisher:CENGAGE L
The Top Down Approach to Software Development; Author: Christopher Kalodikis;https://www.youtube.com/watch?v=v9M8LA2uM48;License: Standard YouTube License, CC-BY