Numerical linear algebra

Automatically Tuned Linear Algebra Software

Automatically Tuned Linear Algebra Software (ATLAS) is a software library for linear algebra. It provides a mature open source implementation of BLAS APIs for C and Fortran77. ATLAS is often recommended as a way to automatically generate an optimized BLAS library. While its performance often trails that of specialized libraries written for one specific hardware platform, it is often the first or even only optimized BLAS implementation available on new systems and is a large improvement over the generic BLAS available at Netlib. For this reason, ATLAS is sometimes used as a performance baseline for comparison with other products. ATLAS runs on most Unix-like operating systems and on Microsoft Windows (using Cygwin). It is released under a BSD-style license without advertising clause, and many well-known mathematics applications including MATLAB, Mathematica, Scilab, SageMath, and some builds of GNU Octave may use it. (Wikipedia).

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Advanced Linear Algebra Full Video Course

Linear algebra is central to almost all areas of mathematics. For instance, #linearalgebra is fundamental in modern presentations of geometry, including for defining basic objects such as lines, planes and rotations. Also, functional analysis may be basically viewed as the application of

From playlist Linear Algebra

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Systems of linear equations -- Elementary Linear Algebra

This lecture is on Elementary Linear Algebra. For more see http://calculus123.com.

From playlist Elementary Linear Algebra

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Linear Algebra Full Course for Beginners to Experts

Linear algebra is central to almost all areas of mathematics. For instance, linear algebra is fundamental in modern presentations of geometry, including for defining basic objects such as lines, planes and rotations. Also, functional analysis may be basically viewed as the application of l

From playlist Linear Algebra

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[Linear Algebra] Solving Systems of Equations Practice

We do some practice questions for solving systems of equations. Visit our website: http://bit.ly/1zBPlvm Subscribe on YouTube: http://bit.ly/1vWiRxW Like us on Facebook: http://on.fb.me/1vWwDRc Submit your questions on Reddit: http://bit.ly/1GwZZrP #LinearAlgebra #Algebra #UniversityMath

From playlist Linear Algebra

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Linear Transformations: Onto

Linear Algebra: Continuing with function properties of linear transformations, we recall the definition of an onto function and give a rule for onto linear transformations.

From playlist MathDoctorBob: Linear Algebra I: From Linear Equations to Eigenspaces | CosmoLearning.org Mathematics

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Linear Algebra for Computer Scientists. 7. Linear Combinations of Vectors

This computer science video is one of a series on linear algebra for computer scientists. In this video you will learn about linear combinations of vectors, that is, you will learn how to create new vectors by scaling then adding other vectors together. You will also learn that some sets

From playlist Linear Algebra for Computer Scientists

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[Linear Algebra] Solution Sets for Systems of Equations

We learn how to find a solution set for a system of equations. Visit our website: http://bit.ly/1zBPlvm Subscribe on YouTube: http://bit.ly/1vWiRxW Like us on Facebook: http://on.fb.me/1vWwDRc Submit your questions on Reddit: http://bit.ly/1GwZZrP #LinearAlgebra #Algebra #UniversityMath

From playlist Linear Algebra

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[Linear Algebra] Solving Systems of Equations

We learn how to solve systems of equations. Visit our website: http://bit.ly/1zBPlvm Subscribe on YouTube: http://bit.ly/1vWiRxW Like us on Facebook: http://on.fb.me/1vWwDRc Submit your questions on Reddit: http://bit.ly/1GwZZrP #LinearAlgebra #Algebra #UniversityMath #Lecture *--Playli

From playlist Linear Algebra

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Lecture 36: Alan Edelman and Julia Language

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Alan Edelman, Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k Prof

From playlist MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018

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What is linear algebra?

This is part of an online course on beginner/intermediate linear algebra, which presents theory and implementation in MATLAB and Python. The course is designed for people interested in applying linear algebra to applications in multivariate signal processing, statistics, and data science.

From playlist Linear algebra: theory and implementation

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Michael Joswig - What is Mathematical Software

What Is Mathematical Software? A short answer to this question is: Mathematical Software is what mathematics receives as a benefit from the digital age. This is relevant because Mathematical Software is useful in many ways. For instance, Mathematical Software serves as a tool to support

From playlist Research Spotlight

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The BLAS and LAPACK Libraries in Computational Chemistry

Prof. T. Daniel Crawford of Virginia Tech discusses the Basic Linear Algebra Subprograms (BLAS) and Linear Algebra PACKage (LAPACK), two libraries that are widely used in computational chemistry. This lecture was given as part of the Software Summer School at Virginia Tech in July 2013.

From playlist Scientific Computing

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Drone Simulation and Control, Part 5: Tuning the PID controller

In the last video, we learned how accurate, nonlinear models are great for simulation but they don’t lend themselves well to linear analysis and design. This video takes the nonlinear model of the Parrot Minidrone and builds a linearizable model that can be used for tuning the 6 PID contr

From playlist Drone Simulation and Control

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드론 프로그래밍– PID 제어기 튜닝

[한글 자막] 드론 제어 시스템 설계 프로세스에 대해 배울 수 있습니다. 쿼드콥터 모델을 빌드, 시뮬레이션하고 테스트를 수행합니다. 드론 프로그래밍 1편 - 제어 시스템 설계: https://youtu.be/h4GRJ38TU6U 드론 프로그래밍 2편 - 쿼드콥터 호버링 제어 시스템: https://youtu.be/GK1t8YIvGM8 드론 프로그래밍 3편 - 비행체 모델 설계와 시뮬레이션: https://youtu.be/3Gtb5Eq1Lvk 드론 프로그래밍 4편 - 시뮬레이션 모델 개발: https://yout

From playlist 드론 프로그래밍

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The Computer Chronicles - Business Applications Part 2 (1987)

Special thanks to archive.org for hosting these episodes. Downloads of all these episodes and more can be found at: http://archive.org/details/computerchronicles

From playlist Computer Chronicles Episodes on Software

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Lattice Supersymmetry - I by Simon Catterall

Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography DATE:27 January 2018 to 03 February 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore The program "Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography" aims to

From playlist Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography

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How to become an Artificial Intelligence Engineer | AI Engineer Skills | Python Tutorial | Edureka

🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai This Edureka live video on "how to become an Artificial Intelligence engineer video is a part of the Python Tutorial series that will provide

From playlist Artificial Intelligence Tutorial For Beginners | Edureka

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Linear algebra: Prove the Sherman-Morrison formula for computing a matrix inverse

This is part of an online course on beginner/intermediate linear algebra, which presents theory and implementation in MATLAB and Python. The course is designed for people interested in applying linear algebra to applications in multivariate signal processing, statistics, and data science.

From playlist Linear algebra: theory and implementation

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Starting a Productivity Revolution in Parallel Computation

(November 4, 2009) Anwar Ghuloum of Intel Corporation discusses Intel's Ct technology, which aims to provide a tool for developers to write parallel programs productively and create an infrastructure for implementation of other data parallel domain-specific libraries and languages. Stan

From playlist Engineering

Related pages

Dot product | SageMath | Norm (mathematics) | Basic Linear Algebra Subprograms | Heuristic (computer science) | MATLAB | Linear algebra | Scilab | GNU Octave | LAPACK