Reduction (complexity) | Proof techniques

Gadget (computer science)

In computational complexity theory, a gadget is a subset of a problem instance that simulates the behavior of one of the fundamental units of a different computational problem. Gadgets are typically used to construct reductions from one computational problem to another, as part of proofs of NP-completeness or other types of computational hardness. The component design technique is a method for constructing reductions by using gadgets. traces the use of gadgets to a 1954 paper in graph theory by W. T. Tutte, in which Tutte provided gadgets for reducing the problem of finding a subgraph with given degree constraints to a perfect matching problem. However, the "gadget" terminology has a later origin, and does not appear in Tutte's paper. (Wikipedia).

Gadget (computer science)
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Computer Science Terminology

Learn computer science terminology. We'll take a dive into understanding some of the terms used in computer science and software development. The video starts with the basics and then gets more advanced. Video from Forrest Knight. Check out his channel: https://www.youtube.com/channel/UC

From playlist Computer Science Concepts

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Computer Basics: What Is a Computer?

Computers are all around us, and they play an important role in our lives. But what exactly is a computer? We're going to answer that question and give you an overview of some of the different types of computers you might use. 0:00 Intro 0:22 Ones and zeros 0:39 Hardware and software 1:0

From playlist Starting out with Technology

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COMPUTER SCIENCE TERMINOLOGY

Welcome to part one of computer science terminology, where we take a dive into understanding some of the terms used in computer science and software development. We've started with the basics and will continue to get more complex as this series progresses. --------------------------------

From playlist Computer Science

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Quantum Computer in a Nutshell (Documentary)

The reservoir of possibilities offered by the fundamental laws of Nature, is the key point in the development of science and technology. Quantum computing is the next step on the road to broaden our perspective from which we currently look at the Universe. The movie shows the history of pr

From playlist Quantum computing

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Machine Learning

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Machine Learning

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System Design: How to store passwords in the database?

Weekly system design newsletter: https://bit.ly/3tfAlYD Checkout our bestselling System Design Interview books: Volume 1: https://amzn.to/3Ou7gkd Volume 2: https://amzn.to/3HqGozy Other things we made: Digital version of System Design Interview books: https://bit.ly/3mlDSk9 Twitter: htt

From playlist Computer Science Fundamentals

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Computer Science Basics: Programming Languages

We use computers every day, but how often do we stop and think, “How do they do what they do?” This video series explains some of the core concepts behind computer science. To view the entire playlist, visit https://www.youtube.com/playlist?list=PLpQQipWcxwt-Q9izCl0mm-QZ4seuBdUtr. We hop

From playlist Computer Science Basics

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Computer Science Basics: Hardware and Software

We use computers every day, but how often do we stop and think, “How do they do what they do?” This video series explains some of the core concepts behind computer science. To view the entire playlist, visit https://www.youtube.com/playlist?list=PLpQQipWcxwt-Q9izCl0mm-QZ4seuBdUtr. We hop

From playlist Computer Science Basics

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How Does Facial Recognition Work? | Earth Lab

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From playlist Earth Lab Originals - Fresh from the BBC Earth Lab

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(ML 19.1) Gaussian processes - definition and first examples

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From playlist Machine Learning

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Introduction to Query-to-Communication Lifting - Mika Goos

Computer Science/Discrete Mathematics Seminar II Topic: Introduction to Query-to-Communication Lifting Speaker: Mika Goos Affiliation: Member, School of Mathematics Date: November 20, 2018 For more video please visit http://video.ias.edu

From playlist Mathematics

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Problems and Solutions With "Simple" Interactive Devices

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From playlist Course | Human-Computer Interaction Seminar (2006-2007)

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O'Reilly Webcasts: Getting Started with .NET Gadgeteer

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From playlist O'Reilly Webcasts 2

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Amazing Science Toys/Gadgets 9

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From playlist Amazing Science Toys/Gadgets

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The Polynomial Method in Communication Complexity - Pei Wu

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From playlist Mathematics

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10/10/09 Eugenio Culurciello - What Makes Your Gameboy Work

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From playlist Science on Saturday at Yale

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Shapes and geometry of surfaces by Mahan Mj

WHEN: 4pm to 6pm Sunday, 26 November 2017 WHERE: J. N.Planetarium, Sri T. Chowdaiah Road, High Grounds, Bangalore Almost all shapes that we see around in space are examples of surfaces. We shall describe a method dating back to the 19th century of understanding these. Time-permitting, we

From playlist Kaapi With Kuriosity (A Monthly Public Lecture Series)

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A nearly optimal lower bound on the approximate degree of AC00- Mark Bun

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From playlist Mathematics

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The Computer Science Wizard Book

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From playlist Book Reviews

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Binary 4 – Floating Point Binary Fractions 1

This is the fourth in a series of videos about the binary number system which is fundamental to the operation of a digital electronic computer. In particular, this video covers the representation of real numbers using floating point binary notation. It begins with a description of standard

From playlist Binary

Related pages

AC0 | Glossary of graph theory | Semidefinite programming | Hardness of approximation | Constraint satisfaction problem | Polynomial-time approximation scheme | Degree (graph theory) | Graph theory | Many-one reduction | NC (complexity) | Graph coloring | Berman–Hartmanis conjecture | P versus NP problem | 2-satisfiability | Computational complexity theory | Matching (graph theory) | Reduction (complexity) | W. T. Tutte | Linear programming