books books
  • Tools
  • Log In
  1. Trace
  2. lab06-mindfa
  3. laborator-lfa

Sidebar

Books

Algorithms and Complexity Theory
  • Main
  • Regulament
  • Lectures:
    • TBA
  • Labs:
    • Laboratorul 1 - Text editor
    • Laboratorul 2 - Notații asimptotice și analiză amortizată
    • Laboratorul 3 - Analiză Amortizată și TDA-uri
    • Laboratorul 4 - Inducție structurală
    • Laboratorul 5 - Analiză Probabilistă în Hashing
    • Laboratorul 6 - Recurențe
    • Laboratorul 7 - Recurențe 2
    • Laboratorul 8 - Arbori Binari de Căutare
    • Laboratorul 9 - Arbori Echilibrați
    • Laboratorul 10 - Probleme "dificile"
    • Laboratorul 11 - Reduceri Polinomiale
    • Laboratorul 12 - Abordări practice pentru probleme NP-Complete
Formal Languages and Automata
  • LFA 2024-2025
  • Echipa
  • Regulament
  • Proiect
    • Etapa 1
    • Etapa 2
  • Labs
    • 1. DFA
    • 2. Programming introduction - Python
    • 3. RegEx
    • 4. RegEx -> NFA
    • 5. Minimal DFAs
    • 6. Closure properties
    • 7. Pumping lemma and its complement
    • 8. Push Down Automaton
    • 9. Context-Free Grammars
    • 10. Closure properties for Context-Free Languages
    • 11. Pumping Lemma for Context-Free Languages and Recap
Programming Paradigms
  • PP 2025
  • Team
  • Rules
  • Plagiarism
  • Resurse
    • Scala Environment
    • Scala Cheatsheet
    • Haskell Environment
    • Ghid de utilizare Hoogle
    • Haskell Cheatsheet
  • Labs
    • L01: Recursion
    • L02: Higher order functions
    • L03: Algebraic datatype definitions
    • L04: Lists in Scala
    • L05: Data types in Scala
    • L06: For expressions
    • L07: Lambda calculus
    • L08: Intro to Haskell
    • L09: Lazy evaluation
    • L10: Functors & Monads
    • L11: Classes, Applicatives and more Monads
  • Homeworks
    • Homework 1
    • Homework 2
Functional Programming
  • Functional Programming 2024
  • Team
  • Rules
  • Plagiarism
Lecture notes
  • TBA
Labs
  • Lab 01: Scala IDEs
  • Lab 02: Recursion
  • Lab 03: Higher-order functions
  • Lab 04: Type definitions
  • Lab 05: Functional vs OO decomposition
  • Lab 06: List applications
  • Lab 07: Matrices
  • Lab 08: Games
  • Lab 09: Covariance & contravariance
Homework
  • Submission Guidelines
  • Homework 1: Sets as functions
  • Homework 2: Sets as trees
  • Homework 3: Five-in-a-row
  • Edit this page
  • Backlinks

Laborator LFA

Lab. 1 Introduction to Python

books

books

 

cc by sa

Except where otherwise noted, content on this wiki is licensed under the following license:
CC Attribution-Share Alike 3.0 Unported