CSC204 Principles of Programming Languages Chapter 15-16
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Questions and Answers

What is the fundamental basis of the design of functional programming languages?

  • The Von Neumann architecture
  • Mathematical functions (correct)
  • Object-oriented programming
  • Imperative languages
  • Which of the following is NOT a characteristic of functional programming languages?

  • They are more reliable
  • They are more readable
  • They have state
  • They have variables (correct)
  • What is a prominent area of application for Lisp?

  • Web development
  • Knowledge representation, machine learning, and speech modeling (correct)
  • Database processing
  • Financial modeling
  • Which of the following is an advantage of functional programming languages?

    <p>They are more readable</p> Signup and view all the answers

    What is a characteristic of imperative languages?

    <p>They have variables and state</p> Signup and view all the answers

    Which of the following is NOT a functional programming language?

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

    What is the primary goal of the design of Functional Programming Languages?

    <p>To mimic mathematical functions to the greatest extent possible</p> Signup and view all the answers

    In Functional Programming Languages, how is repetition typically specified?

    <p>Through recursion</p> Signup and view all the answers

    What is a mathematical function?

    <p>A mapping of members of one set to another set</p> Signup and view all the answers

    What is the primary difference between the computation process in Functional Programming Languages and imperative languages?

    <p>The basic process of computation is fundamentally different</p> Signup and view all the answers

    What type of programming languages are Logic Programming Languages classified as?

    <p>Declarative languages</p> Signup and view all the answers

    What is the purpose of recursion and conditional expressions in mathematical functions?

    <p>To control the flow of the function</p> Signup and view all the answers

    What is a characteristic of programs in Logic Programming Languages?

    <p>They are collections of facts and rules</p> Signup and view all the answers

    What is the purpose of lambda expressions in mathematical functions?

    <p>To define the mapping of the function</p> Signup and view all the answers

    What is a higher-order function?

    <p>A function that takes functions as parameters or yields a function as its result</p> Signup and view all the answers

    What is a main application of Logic Programming Languages?

    <p>Relational Database Management Systems (RDBMSs)</p> Signup and view all the answers

    What is function composition?

    <p>A function that takes two functions as parameters and yields a function as its result</p> Signup and view all the answers

    What is the form of function composition?

    <p>h = f ° g</p> Signup and view all the answers

    What is the result of function composition h = f ° g, given f(x) = x + 2 and g(x) = 3x?

    <p>h(x) = 3x + 2</p> Signup and view all the answers

    What is the main difference between mathematical functions and imperative programming languages?

    <p>Mathematical functions use recursion, while imperative programming languages use iteration</p> Signup and view all the answers

    Study Notes

    Functional Programming Languages

    • Functional programming languages are based on mathematical functions, whereas imperative languages are based on the Von Neumann architecture.
    • Functional languages are argued to be more readable, reliable, and correct than imperative languages.
    • Common functional languages include Lisp, ML, Haskell, OCaml, and F#.
    • Functional languages do not have variables or state like imperative languages do.

    Mathematical Functions

    • A mathematical function is a mapping of a domain set to a range set.
    • A function definition specifies the domain and range sets, along with the mapping.
    • Mathematical functions are evaluated using recursion and conditional expressions, unlike imperative languages which use sequencing and iterative repetition.
    • Mathematical functions always map a particular element of the domain to the same element of the range.

    Lambda Expressions

    • A lambda expression specifies the parameter(s) and the mapping of a function.
    • Lambda expressions are applied to parameter(s) by placing the parameter(s) after the expression.
    • Example: (λ(x) x * x * x)(2) evaluates to 8.

    Higher-Order Functions

    • A higher-order function takes functions as parameters or yields a function as its result, or both.
    • Function Composition is a common kind of higher-order function.
    • It takes two functions as parameters and yields a function whose value is the first actual parameter function applied to the result of the second.

    Fundamentals of Functional Programming Languages

    • The objective of functional programming language design is to mimic mathematical functions.
    • Repetition is specified with recursion rather than iteration.
    • The basic process of computation is fundamentally different in a functional programming language than in an imperative language.
    • Variables are not necessary in functional programming languages, unlike imperative languages.

    Logic Programming Languages

    • Logic programming expresses programs in the form of symbolic logic and uses a logical inferencing process to produce results.
    • Logic programming languages are declarative languages that state the specifications of the desired results rather than detailed procedures.
    • Programs in logic programming languages are collections of facts and rules.
    • Prolog is a main example of a logic programming language, with applications in Relational Database Management Systems (RDBMSs), Expert Systems, and Natural-Language Processing.

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    Description

    This quiz covers chapters 15 and 16 of CSC204, introducing functional and logic programming languages, including mathematical functions and fundamentals of functional programming languages.

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