SPIA 41-60
38 Questions
4 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

Navedite neke prednosti modularnosti u programiranju

Koja je svrha analize složenosti algoritama?

Algoritam se može predstaviti na više načina

Program je implementacija algoritma koja ne mora zadovoljavati uslov konačnosti

<p>False</p> Signup and view all the answers

Primjeri procedura su

Signup and view all the answers

Vremenska složenost algoritma je

Signup and view all the answers

Analiza složenosti algoritama najčešće obuhvata sljedeće analize

<p>a priori i a posteriorI</p> Signup and view all the answers

Prilikom dizajna algoritama poželjno je podijeliti procedure u logičke podfunkcije

<p>False</p> Signup and view all the answers

A posteriori analiza algoritama vrši se

Signup and view all the answers

Navedite neke prednosti modularnosti u programiranju

Signup and view all the answers

Koja je svrha analize složenosti algoritama?

Signup and view all the answers

U analizi složenosti algoritama pretpostavlja se da je vrijeme obavljanja operacija ograničeno nekom konstantom kao donjom granicom

<p>False</p> Signup and view all the answers

Analiza performansi algoritma vrši se za sljedeće slučajeve

Signup and view all the answers

Kao funkcija čega se vrši a priori analiza trajanja izvođenja algoritma?

Signup and view all the answers

A priori analiza algoritma vrši se:

<p>prije implementacije algoritma u programskom jeziku</p> Signup and view all the answers

A posteriori analiza algoritma vrši se _______ implementacije algoritma u programskom jeziku i dobija se ______________

Signup and view all the answers

A priori analiza vrši se neovisno od vrste računara, programskog jezika i kompajlera.

<p>False</p> Signup and view all the answers

O – notacijom složenosti algoritama predstavlja se

<p>najgore vrijeme izvođenja</p> Signup and view all the answers

Ako je algoritam ovisan o ulaznom argumentu n oblika polinoma m – tog stepena, onda je vrijeme izvođenja za taj algoritam

Signup and view all the answers

Vrijeme izvođenja algoritma ne ovisi o najvećoj vremenskoj konstanti

<p>False</p> Signup and view all the answers

Složenost O(1) znači da je vrijeme izvođenja

<p>ograničeno konstantom</p> Signup and view all the answers

A posteriori analiza algoritama vrši se

Signup and view all the answers

Algoritam se može predstaviti na više načina

Signup and view all the answers

Program je implementacija algoritma koja ne mora zadovoljavati uslov konačnosti

<p>True</p> Signup and view all the answers

Primjeri procedura su

Signup and view all the answers

Vremenska složenost algoritma je

Signup and view all the answers

Analiza složenosti algoritama najčešće obuhvata sljedeće analize

<p>a priori i a posteriorI</p> Signup and view all the answers

Prilikom dizajna algoritama poželjno je podijeliti procedure u logičke podfunkcije

<p>True</p> Signup and view all the answers

U analizi složenosti algoritama pretpostavlja se da je vrijeme obavljanja operacija ograničeno nekom konstantom kao donjom granicom

<p>True</p> Signup and view all the answers

Analiza performansi algoritma vrši se za sljedeće slučajeve

Signup and view all the answers

Kao funkcija čega se vrši a priori analiza trajanja izvođenja algoritma?

Signup and view all the answers

A priori analiza algoritma vrši se:

<p>prije implementacije algoritma u programskom jeziku</p> Signup and view all the answers

A posteriori analiza algoritma vrši se _______ implementacije algoritma u programskom jeziku i dobija se ______________

Signup and view all the answers

A priori analiza vrši se neovisno od vrste računara, programskog jezika i kompajlera.

<p>True</p> Signup and view all the answers

O – notacijom složenosti algoritama predstavlja se

<p>najgore vrijeme izvođenja</p> Signup and view all the answers

Ako je algoritam ovisan o ulaznom argumentu n oblika polinoma m – tog stepena, onda je vrijeme izvođenja za taj algoritam

Signup and view all the answers

Vrijeme izvođenja algoritma ne ovisi o najvećoj vremenskoj konstanti

<p>True</p> Signup and view all the answers

Složenost O(1) znači da je vrijeme izvođenja

<p>ograničeno konstantom</p> Signup and view all the answers

Study Notes

Advantages of Modularity in Programming

  • Enhances code organization and maintainability.
  • Facilitates code reuse, enabling easier updates and modifications.
  • Simplifies debugging and testing by isolating different components.
  • Promotes collaboration by allowing multiple developers to work on different modules simultaneously.

Purpose of Algorithm Complexity Analysis

  • Determines efficiency in terms of time and space required by algorithms.
  • Aids in selecting optimal algorithms based on performance for specific tasks.

Algorithm Representation

  • An algorithm can be expressed in various forms, including flowcharts, pseudocode, and programming code.

Characteristics of Programs

  • A program is an implementation that may not meet the condition of termination.

Time Complexity of Algorithms

  • Time complexity refers to the computational time required as the size of input data increases.
  • It is often expressed using Big O notation to classify performance.

Analysis of Algorithm Complexity

  • Complexity analysis typically involves a priori and a posteriori evaluations.
  • A priori analysis is performed irrespective of hardware or software specifics.
  • A posteriori analysis occurs post-implementation to gather execution time data.

Performances Analysis Cases

  • Performance analysis is conducted to assess the efficiency of algorithms under various scenarios.

A Priori Analysis

  • Conducted as a function of theoretical input size and characteristics.
  • Evaluates potential performance before actual execution.

A Posteriori Analysis

  • Executed after the algorithm's implementation to assess real performance metrics.

Notation of Algorithm Complexity

  • O-notation describes the upper bound of algorithm complexity, providing information on its growth rate relative to input size.

Polynomial Time Dependency

  • If an algorithm's execution time is polynomially dependent on an input of size n, its run time behaves proportionate to n raised to the power of m.

Execution Time Factors

  • The execution time of an algorithm is not affected by the largest time constant, highlighting scalability in performance evaluation.

Constant Time Complexity O(1)

  • O(1) denotes that the algorithm's execution time remains constant, regardless of the input size.

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Quiz Team

Description

Test your knowledge of programming concepts with this quiz that covers natural language, pseudocode, and flowchart diagrams. Brush up on your understanding of programming logic and explore different methods for representing code. This quiz is perfect for both beginners and experienced programmers looking to refine their skills. Get ready to dive into the world of programming and challenge yourself to think outside the box!

More Like This

Algorithm Design Techniques Quiz
6 questions
Mastering the Two Heaps Pattern
10 questions

Mastering the Two Heaps Pattern

ChivalrousSmokyQuartz avatar
ChivalrousSmokyQuartz
Algorithm Design and Analysis Quiz
5 questions
Key Concepts in Algorithm Analysis
8 questions
Use Quizgecko on...
Browser
Browser