books books
  • Tools
  • Log In
  1. Trace
  2. lecture7

Sidebar

Books

Algorithms and Complexity Theory
  • Main
  • Regulament
  • Lectures:
    • 3 Problems Challenge
    • Problems and Algorithms + Turing Machines
    • Computing
    • Multitape TMs + Universal TMs
    • Undecidable problems
    • Reductions
    • Undecidability Results
    • Computational resources
    • Complexity across computational models
    • "Hard?" problems
    • Polynomial-time reductions
    • P vs. NP
    • Hardness and completeness
    • Recurrence relations
    • The Master Method
    • Quicksort
    • Amortized Analysis
    • Algebraic Data Types
    • Structural Induction
  • Labs:
    • Math recap
    • Turing Machines
    • Computing
    • Reduceri
    • Mai multe reduceri
    • NotaČ›ii asimptotice
    • Hard Problems
    • Polynomial-time reductions
    • Hardness and Completeness
    • Recurrence relations
    • Recurrence relations (part 2)
    • Amortized Analysis
    • Structural Induction
Formal Languages and Automata
  • LFA 2023-2024
  • Echipa
  • Regulament
  • Lectures
  • Proiect
    • Etapa 1
    • Etapa 2
  • Labs
    • 1. DFA intro
    • 2. Programming introduction - Python
    • 3. Regular Expressions
    • 4. Regex Representation in Python
    • 5. Regex to NFA to DFA conversions
    • 6. DFA Minimisation
    • 7. Closure properties
    • 8. Pumping lemma
    • 9. Push Down Automata
    • 10. Context-Free Grammars
    • 11. Closure properties for Context-Free Languages
Programming Paradigms
  • PP 2023-2024
  • 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 Definition
    • 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
    • Homework 3
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
Homework
  • Submission Guidelines
  • Homework 1: Sets as functions
  • Homework 2: Sets as trees
  • Homework 3: Five-in-a-row
  • Edit this page
  • Backlinks

This is an old revision of the document!

Computational Resources + Complexity Across Models

08. Computational resources (lecture notes)

08. Computational resources (slides)

09. Complexity across models (lecture notes)

09. Complexity across models (slides)

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