• 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
i+1
i+1

Jumping Jiving GCD - the School of Mathematics, Applied
Jumping Jiving GCD - the School of Mathematics, Applied

Step back and look at the Science
Step back and look at the Science

Mobile Robot Path Planning in Static Environments using Particle
Mobile Robot Path Planning in Static Environments using Particle

(pdf)
(pdf)

CPSC445_term_projects_2008-v2
CPSC445_term_projects_2008-v2

... Please turn your written reports into Jiang Du ([email protected]). Make sure your name is on the cover sheet and you include an “executive summary” which outlines the problem you addressed, your approach, and a summary of your results/conclusions. If you wish, you can work in teams of 2-4 people. B ...
Fast Matrix Rank Algorithms and Applications - USC
Fast Matrix Rank Algorithms and Applications - USC

Aalborg Universitet Trigonometric quasi-greedy bases for Lp(T;w) Nielsen, Morten
Aalborg Universitet Trigonometric quasi-greedy bases for Lp(T;w) Nielsen, Morten

Proof - Computer Science
Proof - Computer Science

Query Answering for OWL-DL with Rules
Query Answering for OWL-DL with Rules

Information Integration Over Time in Unreliable
Information Integration Over Time in Unreliable

... scores for sources s1 and s2 , it is reasonable to output “5551234” as the value of e. In addition, there is some chance that “555-4444” is an old value and s3 has never updated. However, consider scenario two. In this scenario, at previous time slices, s3 agreed with s1 and s2 . In this case, we ar ...
AWA* - A Window Constrained Anytime Heuristic Search
AWA* - A Window Constrained Anytime Heuristic Search

Towards NP−P via Proof Complexity and Search
Towards NP−P via Proof Complexity and Search

Automatic Distillation of Musical Structures: Learning the Grammar of Music
Automatic Distillation of Musical Structures: Learning the Grammar of Music

Performance Analysis of a Heterogeneous Traffic Scheduler
Performance Analysis of a Heterogeneous Traffic Scheduler

Iteration complexity of randomized block
Iteration complexity of randomized block

... uniform probabilities for minimizing ℓ1 -regularized smooth convex problems. They first transform the problem into a box constrained smooth problem by doubling the dimension and then apply a coordinate gradient descent method in which each coordinate is chosen with equal probability. Nesterov [13] h ...
CS 170 Spring 2008 - Solutions to Midterm #1
CS 170 Spring 2008 - Solutions to Midterm #1

Slides
Slides

Seven Challenges in Parallel SAT Solving
Seven Challenges in Parallel SAT Solving

Algorithms for Determining Tournament Payout Structures
Algorithms for Determining Tournament Payout Structures

Ant colony optimization - Donald Bren School of Information and
Ant colony optimization - Donald Bren School of Information and

IMT3701 Cryptology
IMT3701 Cryptology

Solving 3D incompressible Navier-Stokes equations on hybrid CPU
Solving 3D incompressible Navier-Stokes equations on hybrid CPU

... Reynolds number Re is the ratio of the characteristic inertial and viscous forces. As Re increases, non-linear effects arising from the non-linear convection term ∇ · (V ⊗ VT ) become more important and the flow exhibits fluctuations at smaller scales requiring higher resolution. We restrict ourself ...
Synchronization
Synchronization

Lecture notes #5 - EECS: www
Lecture notes #5 - EECS: www

< 1 ... 4 5 6 7 8 9 10 11 12 ... 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