• 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
Elementary Results on the Fibonacci Numbers - IME-USP
Elementary Results on the Fibonacci Numbers - IME-USP

... 2.3. Generating Functions and the Fibonacci Numbers. It is a fortunate case that many sequences may be “compactly” represented by a single, “simple” univariate function, whose Taylor-Maclaurin expansion (around 0) [5] has the i-th sequence number as the coefficient of the i-th power of the variable ...
Enhanced form of solving real coded numerical optimization
Enhanced form of solving real coded numerical optimization

Matching in Graphs - CIS @ Temple University
Matching in Graphs - CIS @ Temple University

... Assigned Available ...
decision analysis - Temple University
decision analysis - Temple University

Slide 1
Slide 1

decision analysis - CIS @ Temple University
decision analysis - CIS @ Temple University

Matching in Graphs - Temple University
Matching in Graphs - Temple University

Computing Scheme of Work 2014 –Year 3
Computing Scheme of Work 2014 –Year 3

... A.L.E.X app and Cargo-Bot are used to meet new challenges. Children are encouraged to talk about the algorithm that will be required to meet the higher levels of challenge. NRICH Logo Resources First Forward Into Logo This series introduces Logo programming for beginners. These 12 challenges are wri ...
Best Keyword Cover Search
Best Keyword Cover Search

SG Questions and Answers
SG Questions and Answers

International Electrical Engineering Journal (IEEJ)
International Electrical Engineering Journal (IEEJ)

... Abstract- Economic load dispatch (ELD) in the operation of electric power system is an essential task, since it is required to determine the optimal output of electricity generating facilities, supplying the power to meet load demand at minimum cost while satisfying transmission and operational cons ...
Elementary Properties of the Integers
Elementary Properties of the Integers

programming - The University of Winnipeg
programming - The University of Winnipeg

DECIMAL OPERATIONS EXPLORATION
DECIMAL OPERATIONS EXPLORATION

... 5. Use fractional equivalents to explore division involving two decimals. Specifically, perform each of the following calculations in three ways: first, by changing the decimals to fractional form and then dividing (notice what’s happening!); second, by writing the division as a fraction and then mu ...
rca icml
rca icml

Internet Traffic Policies and Routing
Internet Traffic Policies and Routing

Project Information - Donald Bren School of Information and
Project Information - Donald Bren School of Information and

Comparison Four Different Probability Sampling Methods based on
Comparison Four Different Probability Sampling Methods based on

TU-simplex-ellipsoid_rev
TU-simplex-ellipsoid_rev

Logarithmic Transformation-Based Gamma Random Number
Logarithmic Transformation-Based Gamma Random Number

... two illustrative algorithms for the special cases n = 2 and n = 4. In this article, we propose two algorithms to generate gamma random numbers using the ROU method. Both algorithms are based on logarithmic transformations of gamma random variables. One algorithm applies to all positive shape paramet ...
an algorithm for generating binary pseudo
an algorithm for generating binary pseudo

Axiomatic Tools versus Constructive approach to Unconventional
Axiomatic Tools versus Constructive approach to Unconventional

Exercise 1
Exercise 1

Shortest Paths in Directed Planar Graphs with Negative Lengths: a
Shortest Paths in Directed Planar Graphs with Negative Lengths: a

... All known planarity-exploiting algorithms for this problem, starting with that of Lipton, Rose, and Tarjan [1979], use planar separators, and use Bellman-Ford on a dense graph whose nodes are those comprising a planar separator. The algorithm of Henzinger et al. [1997] achieved an improvement by usi ...
Week 1: Whole Number and Decimals Unit (G.M. Chapter 1) Week 2
Week 1: Whole Number and Decimals Unit (G.M. Chapter 1) Week 2

< 1 ... 14 15 16 17 18 19 20 21 22 ... 48 >

Algorithm



In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ AL-gə-ri-dhəm) is a self-contained step-by-step set of operations to be performed. Algorithms exist that perform calculation, data processing, and automated reasoning.An algorithm is an effective method that can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing ""output"" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.The concept of algorithm has existed for centuries, however a partial formalization of what would become the modern algorithm began with attempts to solve the Entscheidungsproblem (the ""decision problem"") posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define ""effective calculability"" or ""effective method""; those formalizations included the Gödel–Herbrand–Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's ""Formulation 1"" of 1936, and Alan Turing's Turing machines of 1936–7 and 1939. Giving a formal definition of algorithms, corresponding to the intuitive notion, remains a challenging problem.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report