Theorems in computational complexity theory

Speedup theorem

In computational complexity theory, a speedup theorem is a theorem that considers some algorithm solving a problem and demonstrates the existence of a more efficient algorithm solving the same problem. Examples: * Linear speedup theorem, that the space and time requirements of a Turing machine solving a decision problem can be reduced by a multiplicative constant factor. * Blum's speedup theorem, which provides speedup by any computable function (not just linear, as in the previous theorem). (Wikipedia).

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Introduction to additive combinatorics lecture 10.8 --- A weak form of Freiman's theorem

In this short video I explain how the proof of Freiman's theorem for subsets of Z differs from the proof given earlier for subsets of F_p^N. The answer is not very much: the main differences are due to the fact that cyclic groups of prime order do not have lots of subgroups, so one has to

From playlist Introduction to Additive Combinatorics (Cambridge Part III course)

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Calculus 1.2e - Derivative from an Equation

Approximating the rate of change at a point when given the equation for a graph. An approximation is done using a forward difference quotient, and the advantages of using a small interval and a symmetric difference quotient are discussed.

From playlist Calculus Chapter 1

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Convolution Theorem: Fourier Transforms

Free ebook https://bookboon.com/en/partial-differential-equations-ebook Statement and proof of the convolution theorem for Fourier transforms. Such ideas are very important in the solution of partial differential equations.

From playlist Partial differential equations

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Lec 13 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010

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From playlist MIT 6.172 Performance Engineering of Software Systems

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Lec 15 | MIT 6.189 Multicore Programming Primer, IAP 2007

Lecture 15: Cilk (Courtesy of Bradley Kuszmaul and Charles Leiserson. Used with permission.) License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu Subtitles are provided through the generous assistance of Rohan Pai.

From playlist MIT 6.189 Multicore Programming Primer, January (IAP) 2007

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The Difference Between Pointwise Convergence and Uniform Convergence

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys The Difference Between Pointwise Convergence and Uniform Convergence

From playlist Advanced Calculus

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Lec 22 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005

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From playlist MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503),

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From playlist Fourier

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The most powerful (and useless) algorithm

0:00 Intro 2:44 The Algorithm 6:38 Why it works 9:28 Code 10:41 Final Thoughts Our implementation of Universal Search: https://github.com/polylog-cs/universal-search/blob/main/code/universal_search.py Impromptu https://impromptu.fun/ More about universal search: -- To prove that the un

From playlist Algorithms

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NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Graphlab 2...

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From playlist NIPS 2011 Big Learning: Algorithms, System & Tools Workshop

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Multivariable Calculus | The Squeeze Theorem

We calculate a limit using a multivariable version of the squeeze theorem. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/

From playlist Multivariable Calculus

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Limit Duality Theorem

Duality Theorem In this video, I use a neat little trick to show that the limit as n goes to infinity of 2^n is infinity, by using the fact (shown before) that the limit of (1/2)^n is 0. Exponential Limit: https://youtu.be/qxlSclbmh-w Other examples of limits can be seen in the playlis

From playlist Sequences

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Math 031 041217 Radius of Convergence of a Power Series

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From playlist Course 3: Calculus II (Spring 2017)

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Ewin Tang - On quantum linear algebra for machine learning - IPAM at UCLA

Recorded 25 January 2022. Ewin Tang of the University of Washington presents "On quantum linear algebra for machine learning" at IPAM's Quantum Numerical Linear Algebra Workshop. Abstract: We will discuss quantum singular value transformation (QSVT), a simple unifying framework for quantum

From playlist Quantum Numerical Linear Algebra - Jan. 24 - 27, 2022

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Calculus 5.3 The Fundamental Theorem of Calculus

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From playlist Calculus

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21.2.3 Thread-level Parallelism

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From playlist MIT 6.004 Computation Structures, Spring 2017

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Lecture 17, Interpolation | MIT RES.6.007 Signals and Systems, Spring 2011

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From playlist MIT RES.6.007 Signals and Systems, 1987

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Rolando Somma - The Quantum Linear Systems Problem - IPAM at UCLA

Recorded 24 January 2022. Rolando Somma of Los Alamos National Laboratory presents "The Quantum Linear Systems Problem" at IPAM's Quantum Numerical Linear Algebra Workshop. Abstract: The goal of the quantum linear systems problem (QLSP) is to prepare a quantum state proportional to the sol

From playlist Quantum Numerical Linear Algebra - Jan. 24 - 27, 2022

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Fourier series + Fourier's theorem

Free ebook http://tinyurl.com/EngMathYT A basic lecture on how to calculate Fourier series and a discussion of Fourier's theorem, which gives conditions under which a Fourier series will converge to a given function.

From playlist Engineering Mathematics

Related pages

Blum's speedup theorem | Turing machine | Computational complexity theory | Linear speedup theorem | Theorem | Algorithm | Amdahl's law