• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Lecture 2. Marginal Functions, Average Functions - www
Lecture 2. Marginal Functions, Average Functions - www

... the firm should raise output when marginal revenue is greater than marginal cost, and it should lower output when marginal revenue is less than marginal cost. This makes sense, because, on the margin, profit goes up with x, if the extra revenue is greater than the extra cost and vice versa. The abov ...
02157 Functional Programming - A brief introduction to Lambda
02157 Functional Programming - A brief introduction to Lambda

... scope of an abstraction λx.M in t; otherwise it is free. If x has at least one free occurrence in t, then it is called a free variable of t. ...
recursive functions
recursive functions

... A formal system designed to investigate function definition function application recursion Can be called the smallest universal programming language. It is universal in the sense that any computable function can be expressed within this formalism. Thus, it is equivalent in expressive power to Turing ...
Sect_03_04_Notes
Sect_03_04_Notes

Haskell exercises set 1
Haskell exercises set 1

Principles of Programming Languages - 815338A
Principles of Programming Languages - 815338A

... determine the types of undeclared variables • It is strongly typed (whereas Scheme is essentially typeless) and has no type coercions • Does not have imperative-style variables • Its identifiers are untyped names for values • Includes exception handling and a module facility for ...
Lect_8_9
Lect_8_9

... All Haskell values are "first-class" - they may be passed as arguments to functions, returned as results, placed in data structures, etc. Haskell types, on the other hand, are not first-class. Types describe values, and the association of a value with its type is called a typing. ...
Lecture_6_4-r - Arizona State University
Lecture_6_4-r - Arizona State University

... If you think about this problem, you may remember seeing it in Brief Calculus and/or in algebra. The example above would have been very difficult using the direct substitution method but can be solved using the Lagrange multiplier method fairly easily. 3. Find the maximum and minimum values of f  x ...
This article discusses the programming language LISP. The
This article discusses the programming language LISP. The

PROGRAMMING LANGUAGES 6.5 Higher Order Functions A
PROGRAMMING LANGUAGES 6.5 Higher Order Functions A

... The last line is printed by the ML interpreter, and indicates the inferred type of plus. The type declaration is required to disambiguate the overloaded + operator. Though one may think of plus as a function of two arguments, the ML definition says that all functions take a single argument.What we h ...
ppt - Dave Reed
ppt - Dave Reed

Lambda Calculus as a Programming Language
Lambda Calculus as a Programming Language

Discussion
Discussion

Functional Imperative Style
Functional Imperative Style

Functional Programming
Functional Programming

... each full-recursive call requires a new activation record on the run-time stack with tail-recursion, don't need to retain current activation record when make call  can discard the current activation record, push record for new recursive call  thus, no limit on recursion depth (each recursive call ...
CSC 533: Programming Languages Spring 2017
CSC 533: Programming Languages Spring 2017

... LISP is very simple and orthogonal §  only 2 kinds of data objects 1.  atoms (identifiers, strings, numbers, …) 2.  lists (of atoms and sublists) unlike arrays, lists do not have to store items of same type/size do not have to be stored contiguously do not have to provide random access §  all comput ...
Theorems for free! - Computing Science
Theorems for free! - Computing Science

... just a reformulation of Reynolds' abstraction theorem: terms evaluated in related environments yield related values [Rey83]. The key idea is that types may be read as relations. This result will be explained in Section 2 and stated more formally in Section 6. Some further applications of parametrici ...
PowerPoint
PowerPoint

Notes on Simply Typed Lambda Calculus
Notes on Simply Typed Lambda Calculus

... Notes on Simply Typed Lambda Calculus∗ Ralph Loader† February, 1998 The purpose of this course is to provide an introduction to λ-calculi, specifically the simply typed lambda calculus (λ→ ). λ-calculi are formalisms that are useful in computer science. They are languages that express both computati ...
Name_______________ MAC 2233 Marginal Analysis Worksheet 1.
Name_______________ MAC 2233 Marginal Analysis Worksheet 1.

... a. Algebraically derive the profit function P and simplify it. b. Evaluate and interpret. c. Evaluate and interpret. 9. (Armstrong & Davis, section 3.2 problem 29) The Vroncom Company determines that the pricedemand function for their handheld computer device is ...
Multiple Integrals - Penn Math
Multiple Integrals - Penn Math

... There is a theorem which says that the limit as the size of the rectangles Rk goes to 0 then the Riemann sum approaches the integral. You can see from the picture why Fubini’s theorem works. You can do the same sort of thing if the region is not a rectangle. ...
Section 15.2 Limits and Continuity
Section 15.2 Limits and Continuity

Recitation 2
Recitation 2

curried functions - Universitatea "Politehnica"
curried functions - Universitatea "Politehnica"

slides
slides

< 1 ... 3 4 5 6 7 8 9 10 11 ... 18 >

Lambda calculus

Lambda calculus (also written as λ-calculus) is a formal system in mathematical logic for expressing computation based on function abstraction and application using variable binding and substitution. First formulated by Alonzo Church to formalize the concept of effective computability, lambda calculus found early successes in the area of computability theory, such as a negative answer to Hilbert's Entscheidungsproblem. Lambda calculus is a conceptually simple universal model of computation (Turing showed in 1937 that Turing machines equaled the lambda calculus in expressiveness). The name derives from the Greek letter lambda (λ) used to denote binding a variable in a function. The letter itself is arbitrary and has no special meaning. Lambda calculus is taught and used in computer science because of its usefulness in showcasing functional thinking and iterative reduction.Because of the importance of the notion of variable binding and substitution, there is not just one system of lambda calculus, and in particular there are typed and untyped variants. Historically, the most important system was the untyped lambda calculus, in which function application has no restrictions (so the notion of the domain of a function is not built into the system). In the Church–Turing Thesis, the untyped lambda calculus is claimed to be capable of computing all effectively calculable functions. The typed lambda calculus is a variety that restricts function application, so that functions can be applied only if they are capable of accepting the given input's ""type"" of data.Today, the lambda calculus has applications in many different areas in mathematics, philosophy, linguistics, and computer science. It is still used in the area of computability theory, although Turing machines are also an important model for computation. Lambda calculus has played an important role in the development of the theory of programming languages. Counterparts to lambda calculus in computer science are functional programming languages, which essentially implement the lambda calculus (augmented with some constants and datatypes). Beyond programming languages, the lambda calculus also has many applications in proof theory. A major example of this is the Curry–Howard correspondence, which gives a correspondence between different systems of typed lambda calculus and systems of formal logic.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report