Home
Search results “Product matrix c”
Program to multiply two matrices in C language
 
23:32
Like, Comments, Share and SUBSCRIBE
Views: 126533 MySirG.com
Multiplication of Two Matrix in C (HINDI)
 
01:06:05
Matrix Multiplication in C HINDI Subscribe : http://bit.ly/XvMMy1 Website : http://www.easytuts4you.com FB : https://www.facebook.com/easytuts4youcom
Views: 102646 easytuts4you
C program for Matrix Multiplication
 
09:24
you can download source code from here http://tinyurl.com/opzrk9r
Views: 80288 Coding Xpertz
41 C++ PRODUCT OF TWO MATRIX BY PRIYRANJAN PRASAD
 
08:33
PRODUCT OF TWO MATRIX
Views: 4970 argus academy
2D Array Example: Product of two matrices in C++
 
09:46
Product of two matrices in C++
Views: 457 Umed Ali
C++ Matrices Tutorial Hindi - Addition, Subtraction, Product of Two Matrices with C++ Coding Example
 
18:06
C++ Tutorial in Hindi – Arrays: Matrices operation – Addition, Subtraction and Product of Two Matrices with C++ Coding Example C++ Lectures in Hindi C++ Tutorial for Beginners in Hindi Programming with C++ for CBSE, NCERT Class 12th Programming with C++
Product of two matrix by c programming-SAWIK
 
06:27
subscribe the channel for more updates...
How To Find Product Of Elements Of Array In C++
 
04:46
DESCRIPTION: *************** Write a computer program which declares a one dimensional integer array of 10 elements and initialize that array with 0. After initialization it inputs the value in each element of an array from user calculate product of all elements of an array and then displays all the elements of array and their product. I hope this is helpful video for you to learn easy way as you want. if only one person learn something by this video then i think, i am a luckiest person in the world. If you think this is little bit helpful for you then please Subscribe for more updates for your knowledge. VIDEO LINK :https://youtu.be/K5tnaiJ8vkk CHANNEL LINK : https://www.youtube.com/channel/UCOXptZdiU7evLHTWMwMNmZA VISIT ON OTHER VIDEOS OF C++ PROGRAMMING: How To Find The Sum Of Elements Of Array In C++ Video Link : https://youtu.be/5hkAOLwbU8Q How To Find The Minimum Number Of Array In C++ Video Link : https://youtu.be/9LrH5QYqpEw How To Find The Maximum Number Of Array In C++ Video Link : https://www.youtube.com/watch?v=3sphppuU0Gk How To Find Area Of Triangle By Function In C++ Video Link :https://youtu.be/KFGZ330eBGA How To Find Leap Year By C++ Video Link : https://youtu.be/nNTEyYteSCg How To Find Even Or Prime Number By Function In C++ Video Link : https://www.youtube.com/watch?v=06OJxX62S_g How To Get The IP Address Of Your System In C++ Video Link : https://www.youtube.com/watch?v=MZ9xIADNKSg How To Get The Size Of Physical RAM Of System In C++ Video Link : https://www.youtube.com/watch?v=71GxSJXxhtc How To Find Rightmost And 2nd Rightmost Digit In C++ Video Link : https://www.youtube.com/watch?v=C1656K2MQF8 How To Convert Fahrenheit Into Celsius In C++ Video Link : https://www.youtube.com/watch?v=roqwc7LDRTA How To Convert Celsius Into Fahrenheit In C++ Video Link : https://www.youtube.com/watch?v=rIAJO53hVHg How To Convert Celsius To Fahrenheit And Vice Versa In C++ Video Link : https://www.youtube.com/watch?v=qC_X0yOPCiA How To Convert Celsius To Fahrenheit And Vice Versa By Function In C++ Video Link : https://www.youtube.com/watch?v=_sZEJAQlICo How To Find Area Of Circle And Circumference In C++ Video Link : https://www.youtube.com/watch?v=ZsKKSWiEBNA How To Print ASCII TABLE In C++ Video Link : https://www.youtube.com/watch?v=iwfJhrMfsMw How To Convert Seconds Into Hours, Minutes And Seconds In C++ Video Link : https://www.youtube.com/watch?v=NJVrPikjWqw
Views: 697 Green Star Pixels
Matrix product associativity | Matrix transformations | Linear Algebra | Khan Academy
 
11:59
Showing that matrix products are associative Watch the next lesson: https://www.khanacademy.org/math/linear-algebra/matrix_transformations/composition_of_transformations/v/distributive-property-of-matrix-products?utm_source=YT&utm_medium=Desc&utm_campaign=LinearAlgebra Missed the previous lesson? https://www.khanacademy.org/math/linear-algebra/matrix_transformations/composition_of_transformations/v/linear-algebra-matrix-product-examples?utm_source=YT&utm_medium=Desc&utm_campaign=LinearAlgebra Linear Algebra on Khan Academy: Have you ever wondered what the difference is between speed and velocity? Ever try to visualize in four dimensions or six or seven? Linear algebra describes things in two dimensions, but many of the concepts can be extended into three, four or more. Linear algebra implies two dimensional reasoning, however, the concepts covered in linear algebra provide the basis for multi-dimensional representations of mathematical reasoning. Matrices, vectors, vector spaces, transformations, eigenvectors/values all help us to visualize and understand multi dimensional concepts. This is an advanced course normally taken by science or engineering majors after taking at least two semesters of calculus (although calculus really isn't a prereq) so don't confuse this with regular high school algebra. About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Linear Algebra channel:: https://www.youtube.com/channel/UCGYSKl6e3HM0PP7QR35Crug?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 35169 Khan Academy
[2.e] Product Process Matrix
 
02:39
Operations Management Lecture Series, by Dr. Narendar Sumukadas Click here to view the complete series: (http://www.youtube.com/channel/UCtgSQs_Fpzi367qs1w-zCAA)
Views: 18697 Narendar Sumukadas
Kronecker Product of two matrices
 
03:22
Kronecker Product of two matrices in image processing. AXB is not equal to BXA. ......................................................... GATE lectures on SIGNAL AND SYSTEM - by Shrenik Jain https://www.youtube.com/playlist?list=PLfP-D1tg0DI1qBFREKxhFbBR8veKrYj60 DIGITAL LOGIC DESIGN - by Shrenik Jain https://www.youtube.com/playlist?list=PLfP-D1tg0DI0V04wTbaqUWvcvAE_B98Qj DSP by Shrenik Jain https://www.youtube.com/playlist?list=PLfP-D1tg0DI1VEDhEOVNHrTs_pzt684ou signal and system by SHRENIK JAIN https://www.youtube.com/playlist?list=PLfP-D1tg0DI2Fpj_oV4VvLax4JJVL_kW2 DBMS by Shrenik Jain https://www.youtube.com/playlist?list=PLfP-D1tg0DI0D1MSTRXFr1X6bb_ZI0E7W ANALOG ELECTRONICS by Shrenik Jain https://www.youtube.com/playlist?list=PLfP-D1tg0DI3HaJdHpBu7XX-m9c6mANZk OPERATING SYSTEM -by SHRENIK JAIN https://www.youtube.com/playlist?list=PLfP-D1tg0DI1U3Xe4ynk6ocVQl2qKoDoB CONTROL SYSTEM - by Shrenik Jain https://www.youtube.com/playlist?list=PLfP-D1tg0DI1Cwku-ZLD-ofrsLHd5dHQy Engineering Maths https://www.youtube.com/playlist?list=PLfP-D1tg0DI0Kavkv81ZvQI8g7VSiVIm_ VLSI - by Shrenik Jain https://www.youtube.com/playlist?list=PLfP-D1tg0DI2Sn1DVzGdIeGyuIUjhJ9zp Limits and Continuity - by Siddhant Jain https://www.youtube.com/playlist?list=PLfP-D1tg0DI3Ln9qhdNlIbRR1gAqrGXH0 INTEGRATED CIRCUIT (IC) by Shrenik Jain https://www.youtube.com/playlist?list=PLfP-D1tg0DI1yEx1fdhqA8jR5WtCJvQN5 IMAGE PROCESSING - by Shrenik Jain https://www.youtube.com/playlist?list=PLfP-D1tg0DI2F_PAG8Z6WxZgqBK0jG_-D PROBABILITY by Shrenik Jain https://www.youtube.com/playlist?list=PLfP-D1tg0DI2KD99RmEobWaLiG4bZPNPN ......................................................... ANY DOUBT ? ASK ON FB page . facebook link : https://www.facebook.com/studysimplified/ quora link : https://www.quora.com/profile/Shrenik-Jain-51
Views: 524 Shrenik Jain
Ti-84 Cross Product Program & Dot Product for Vectors (Triple Scalar Product)
 
04:47
Vector Cross Products are a big thing in Calculus 3, but they can be tedious to calculate due to all the repetitive arithmetic. So I’ve made a program to calculate a cross product for you or use to check an answer. You can easily expand it to use for the Triple Scalar Product of 3 vectors. Download the program http://www.mediafire.com/download/vrj42rkepyqb61c/A2CROSS.8xp ➤Dot products are simple: -2nd STAT -Left arrow to "MATH" -option 5 is sum( -type your 2 vectors in curly braces separated by commas -sum( {1,2,3}{3,4,5} -Press Enter & you’ve got the answer ➤Cross Products program: Input "{A,B,C}=",L3 Input "{D,E,F}=",L4 Disp "AXB=",{L3(2)L4(3)-L3(3)L4(2),L3(3)L4(1)-L3(1)L4(3),L3(1)L4(2)-L3(2)L4(1)} You could paste these 3 lines into the cemetech editor and create your own program https://www.cemetech.net/sc/ ➤When running the program you must enter the vectors in curly braces (the last one is optional) -So when it prompts "{A,B,C}=" you enter "{1,2,3" The program’s answer is a list NOT an actual vector (e.g. {2 4 5} (Notice no commas) If you need to use it as a vector, copy it manually ➤Scalar Triple Product: -is defined by a•(bXc) or b•(aXc) -so do a cross product first -then dot product that answer with the third vector Cross Product Definition http://www.mathportal.org/linear-algebra/vectors/cross-product.php Slightly Modified source https://answers.yahoo.com/question/index?qid=20110207191241AAOr0XA
Views: 24006 TanUv90
1  Product Process Matrix
 
01:24
Product Process Matrix
Views: 377 Sanjay C
Write a Matrix as a Product of Elementary Matrices
 
08:29
This video explains how to write a matrix as a product of elementary matrices. Site: mathispower4u.com Blog: mathispower4u.wordpress.com
Views: 100264 Mathispower4u
How to Install a Ductless Mini-Split Air Conditioner - Blueridge
 
09:16
Shop at: https://www.AlpineHomeAir.com Learn how to install your own ductless mini-split air conditioner & heating system in just 9 minutes! The easiest, most affordable way to add cooling (or heating) to any room. You can DIY, and we are here to help you, from product selection, delivery, installation and pro startup.
Views: 6980376 alpinehomeair
CS2130 M4 1.5 Boolean Product
 
06:45
the Boolean product of two Boolean matrices.
Views: 2969 Alison Weber
Transpose of a matrix product | Matrix transformations | Linear Algebra | Khan Academy
 
08:50
Taking the transpose of the product of two matrices Watch the next lesson: https://www.khanacademy.org/math/linear-algebra/matrix_transformations/matrix_transpose/v/linear-algebra-transposes-of-sums-and-inverses?utm_source=YT&utm_medium=Desc&utm_campaign=LinearAlgebra Missed the previous lesson? https://www.khanacademy.org/math/linear-algebra/matrix_transformations/matrix_transpose/v/linear-algebra-determinant-of-transpose?utm_source=YT&utm_medium=Desc&utm_campaign=LinearAlgebra Linear Algebra on Khan Academy: Have you ever wondered what the difference is between speed and velocity? Ever try to visualize in four dimensions or six or seven? Linear algebra describes things in two dimensions, but many of the concepts can be extended into three, four or more. Linear algebra implies two dimensional reasoning, however, the concepts covered in linear algebra provide the basis for multi-dimensional representations of mathematical reasoning. Matrices, vectors, vector spaces, transformations, eigenvectors/values all help us to visualize and understand multi dimensional concepts. This is an advanced course normally taken by science or engineering majors after taking at least two semesters of calculus (although calculus really isn't a prereq) so don't confuse this with regular high school algebra. About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Linear Algebra channel:: https://www.youtube.com/channel/UCGYSKl6e3HM0PP7QR35Crug?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 64355 Khan Academy
Boolean product
 
07:51
Discrete structureshttps://www.youtube.com/playlist?list=PLJo7y1Pu7hNgAX52SDIYrVprQxfXRAacs
Views: 8088 Random Tutorial
Cross product, determinant method
 
03:32
Description
Views: 65531 General Physics - Lowe
Matrix Multiplication - Associativity
 
09:09
In this video, we explore the associative property for matrix multiplication. We continue with our Fruit Store example. This time, we find the total wholesale cost of selling all of the fruit packages for the months of July, August and September. We start with a table of the wholesale cost of each fruit item, which we write as a column matrix. We find that the cost matrix C, which describes the wholesale cost for each month is the product of: C = M x P x W But for associativity, we discover that it doesn't matter how we group this operation, as long as we keep the order of the matrices in the same. So: C = (M x P) x W Or C = M x (P x W) Thanks for watching. Please give me a "thumbs up" if you have found this video helpful. Please ask me a maths question by commenting below and I will try to help you in future videos. Follow me on Twitter! twitter.com/MasterWuMath
Newbiehack Product - 4x4 Keypad - Introduction, Explanation and Code!
 
26:57
Please watch: "Buildyourcnc CNC Router on Love Yurts" https://www.youtube.com/watch?v=90KkIO-67Qk --~-- Patrick's Tip Jar: bitcoin:1Gtawd29Sgu5CdvfUnkRg1YBfowCawjFdH Ether:0xa962365100011B79097A7bb9DD51A53eE98266bb If you have found this video to be helpful, consider making a tip. Thanks. This is an introduction and demonstration of the 4x4 keypad that is being offered by NewbieHack.com: http://newbiehack.com/Categories/input-device. the functions and features of the keypad is fully explained. The keypad is connected to an AVR microcontroller and code is written to make it work! Equipment that I use to make videos: Canon EOS Rebel: http://amzn.to/2rJSeh0 Macro Lens: http://amzn.to/2qaSKmK Microphone: http://amzn.to/2qO2RB4 3D Mouse to rotate/zoom/move the object (Must have for CAD!!!): http://amzn.to/2ruFnSn The drafting pencil I use on these videos: http://amzn.to/2qioYg2
Views: 14589 Patrick Hood-Daniel
Product of Matrix class -7 | Business Mathematics | Excercise solved | By free ki pathshala
 
16:01
Today;s Topic is :- Product of Matrix class -7 | Business Mathematics | Excercise solved | By free ki pathshala ---------------------------------------------------------------------------------------------------------------- Matrices and determinant :- https://www.youtube.com/watch?v=WNH9XsVMGrI&list=PLGeio_2Vs0yg3kpGzkCsqaBASuNBa477b ---------------------------------------------------------------------------------------------------------------- INTRODUCTION OF GST :- PART 1 - https://www.youtube.com/watch?v=86rs5viTGXc MODEL OF GST - https://www.youtube.com/watch?v=nviTVBJX4rs QUICK REVISION OF COMPANY LAW - https://www.youtube.com/watch?v=g44I6QebHOc Matrices shortcuts and tricks Multiplication of matrices tricks to multiply matrices matrix multiplication Class 11 matrices class 12 matrices Matrices multiplication inverse 3x3 2x2 3x2 Unit II: Algebra 1. Matrices Concept, notation, order, equality, types of matrices, zero and identity matrix, transpose of a matrix, symmetric and skew symmetric matrices. Operation on matrices: Addition and multiplication and multiplication with a scalar. Simple properties of addition, multiplication and scalar multiplication. Noncommutativity of multiplication of matrices and existence of non-zero matrices whose product is the zero matrix (restrict to square matrices of order 2).Concept of elementary row and column operations. Invertible matrices and proof of the uniqueness of inverse, if it exists; 2. Determinants Determinant of a square matrix (up to 3 x 3 matrices), properties of determinants, minors, co-factors and applications of determinants in finding the area of a triangle. Adjoint and inverse of a square matrix. Consistency, inconsistency and number of solutions of system of linear equations by examples, solving system of linear equations in two or three variables (having unique solution) using inverse of a matrix. Introduction and Examples DEFINITION: A matrix is defined as an ordered rectangular array of numbers. They can be used to represent systems of linear equations, as will be explained below. Here are a couple of examples of different types of matrices: Symmetric Diagonal Upper Triangular Lower Triangular Zero Identity Symmetric Matix Diagonal Matrix Upper Triangular Matix Lower Triangular Matix Zero Matix Identity Matix And a fully expanded m×n matrix A, would look like this: n×n matrix ... or in a more compact form: m×n simplified Top Matrix Addition and Subtraction DEFINITION: Two matrices A and B can be added or subtracted if and only if their dimensions are the same (i.e. both matrices have the same number of rows and columns. Take: matrices A&B Addition If A and B above are matrices of the same type then the sum is found by adding the corresponding elements aij + bij . Here is an example of adding A and B together. Sum of matrices A&B Subtraction If A and B are matrices of the same type then the subtraction is found by subtracting the corresponding elements aij − bij. Here is an example of subtracting matrices. Subtraction of A&B Now, try adding and subtracting your own matrices. Addition/subtraction Top Matrix Multiplication DEFINITION: When the number of columns of the first matrix is the same as the number of rows in the second matrix then matrix multiplication can be performed. Here is an example of matrix multiplication for two 2×2 matrices. Matrix multiplication 2×2 Here is an example of matrix multiplication for two 3×3 matrices. Matrix multiplication 3×3 Now lets look at the n×n matrix case, Where A has dimensions m×n, B has dimensions n×p. Then the product of A and B is the matrix C, which has dimensions m×p. The ijth element of matrix C is found by multiplying the entries of the ith row of A with the corresponding entries in the jth column of B and summing the n terms. The elements of C are: Matrix multiplication for n×n Note: That A×B is not the same as B×A Now, try multiplying your own matrices. Matrix multiplication Top Transpose of Matrices DEFINITION: The transpose of a matrix is found by exchanging rows for columns i.e. Matrix A = (aij) and the transpose of A is: AT = (aji) where j is the column number and i is the row number of matrix A. For example, the transpose of a matrix would be: ................................................................................................................ Source 1 :- www.bensound.com ----------------------------------------------------------------------------------------------------------- IMPORTANT:- If you want to know about any other topic of B.com please comment me in any video , i will definately replied within 12 hours. ----------------------------------------------------------------------------------------------------------- ........... THANKS FOR WATCHING...........
Views: 171 Free Ki Pathshala
Matrix multiplication (part 1)
 
13:41
Multiplying two 2x2 matrices. Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/multiplying_a_matrix_by_a_matrix?utm_source=YTdescription&utm_medium=YTdescription&utm_campaign=YTdescription
Views: 1044259 Khan Academy
Linear Algebra 11t: The Inverse of a Product of Two Matrices
 
08:23
This course is on Lemma: http://lem.ma Lemma looking for developers: http://lem.ma/jobs Other than http://lem.ma, I recommend Strang http://bit.ly/StrangYT, Gelfand http://bit.ly/GelfandYT, and my short book of essays http://bit.ly/HALAYT Questions and comments below will be promptly addressed. Linear Algebra is one of the most important subjects in mathematics. It is a subject with boundless practical and conceptual applications. Linear Algebra is the fabric by which the worlds of geometry and algebra are united at the most profound level and through which these two mathematical worlds make each other far more powerful than they ever were individually. Virtually all subsequent subjects, including applied mathematics, physics, and all forms of engineering, are deeply rooted in Linear Algebra and cannot be understood without a thorough understanding of Linear Algebra. Linear Algebra provides the framework and the language for expressing the most fundamental relationships in virtually all subjects. This collection of videos is meant as a stand along self-contained course. There are no prerequisites. Our focus is on depth, understanding and applications. Our innovative approach emphasizes the geometric and algorithmic perspective and was designed to be fun and accessible for learners of all levels. Numerous exercises will be provided via the Lemma system (under development) We will cover the following topics: Vectors Linear combinations Decomposition Linear independence Null space Span Linear systems Gaussian elimination Matrix multiplication and matrix algebra The inverse of a matrix Elementary matrices LU decomposition LDU decomposition Linear transformations Determinants Cofactors Eigenvalues Eigenvectors Eigenvalue decomposition (also known as the spectral decomposition) Inner product (also known as the scalar product and dot product) Self-adjoint matrices Symmetric matrices Positive definite matrices Cholesky decomposition Gram-Schmidt orthogonalization QR decomposition Elements of numerical linear algebra I’m Pavel Grinfeld. I’m an applied mathematician. I study problems in differential geometry, particularly with moving surfaces.
Views: 4512 MathTheBeautiful
The Cross Product
 
08:05
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! In this video, I give the formula for the cross product of two vectors, discuss geometrically what the cross product is, and do an example of finding the cross product. For more free math videos, visit http://PatrickJMT.com
Views: 695838 patrickJMT
C++ Program to calculate Product of two Matrices
 
12:49
C++ Program to calculate Product of two Matrices Hello! I am vaibhav sharma. Plz subscibe to my Channel Write down in the comment section that which type of question you want me to code.
Views: 113 #AskVaibhav
How To Program Product System on Turbo C/C++
 
05:41
PROG TECH IS A CHANNEL ALL ABOUT PROCESS ON MAKING SYSTEMS AND OTHER STUFF THAT MAY INCLUDES PROGRAMMING LANGUAGES. ----- PLEASE SUBSCRIBE FOR MORE! :))
Views: 12 Prog Tech
Matrix Multiplication
 
13:20
Motivation for the definition of matrix multiplication. Alternative ways of thinking about matrix multiplication.
Views: 1386 Sheldon Axler
Interview Question: Matrix Product
 
34:04
Coding interview question from http://www.byte-by-byte.com/matrixproduct In this video, I show how to find the path through a matrix with the greatest product. Do you have a big interview coming up with Google or Facebook? Do you want to ace your coding interviews once and for all? If so, Byte by Byte has everything that you need to go to get your dream job. We've helped thousands of students improve their interviewing and we can help you too. Stuck on Dynamic Programming? Check out our free ebook: www.dynamicprogrammingbook.com Need an interview coach? Send in an application: www.byte-by-byte.com/coaching You can also find me on Twitter: https://twitter.com/ByteByByteBlog Facebook: https://www.facebook.com/bytebybyteblog Email: [email protected]
Views: 2068 Byte By Byte
Inverse of 3x3 matrix
 
14:45
Inverse of 3x3 matrix example. Visit http://Mathmeeting.com to see all all video tutorials covering the inverse of a 3x3 matrix.
Views: 1570604 Math Meeting
Unizor - Matrix Multiplication - 3x3 Case
 
25:09
Let's consider a three-dimensional square matrices and apply exactly the same logic as in a 2-dimensional case of the previous lecture. If matrix A=[aij], i,j ∈ [1,2,3] matrix B=[bij], i,j ∈ [1,2,3] matrix C=A·B=[cij], i,j ∈ [1,2,3] vector u=(u1,u2,u3) vector v=B·u=(v1,v2,v3) vector w=A·v=A·(B·u)=(w1,w2,w3) then: (1) the transformation v=B·u looks like v1 = b11·u1+b12·u2+b13·u3 v2 = b21·u1+b22·u2+b23·u3 v3 = b31·u1+b32·u2+b33·u3 (2) the transformation w=A·v looks like w1 = a11·v1+a12·v2+a13·v3 = = a11·(b11·u1+b12·u2+b13·u3) + + a12·(b21·u1+b22·u2+b23·u3) + + a13·(b31·u1+b32·u2+b33·u3) = = (a11·b11+a12·b21+a13·b31)·u1 + + (a11·b12+a12·b22+a13·b32)·u2 + + (a11·b13+a12·b23+a13·b33)·u3 w2 = a21·v1+a22·v2+a23·v3 = = a21·(b11·u1+b12·u2+b13·u3) + + a22·(b21·u1+b22·u2+b23·u3) + + a23·(b31·u1+b32·u2+b33·u3) = = (a21·b11+a22·b21+a23·b31)·u1 + + (a21·b12+a22·b22+a23·b32)·u2 + + (a21·b13+a22·b23+a23·b33)·u3 w3 = a31·v1+a32·v2+a33·v3 = = a31·(b11·u1+b12·u2+b13·u3) + + a32·(b21·u1+b22·u2+b23·u3) + + a33·(b31·u1+b32·u2+b33·u3) = = (a31·b11+a32·b21+a33·b31)·u1 + + (a31·b12+a32·b22+a33·b32)·u2 + + (a31·b13+a32·b23+a33·b33)·u3 Since we want to define a matrix product C=A·B=[cij] to perform the same transformation as a composition of, first, B and then A, as derived above, the same vector w should result from a multiplication of matrix C by vector u, that is w1 = c11·u1+c12·u2+c13·u3 w2 = c21·u1+c22·u2+c23·u3 w3 = c31·u1+c32·u2+c33·u3 Comparing this with the derivation above, we conclude: c11 = a11·b11+a12·b21+a13·b31 c12 = a11·b12+a12·b22+a13·b32 c13 = a11·b13+a12·b23+a13·b33 c21 = a21·b11+a22·b21+a23·b31 c22 = a21·b12+a22·b22+a23·b32 c23 = a21·b13+a22·b23+a23·b33 c31 = a31·b11+a32·b21+a33·b31 c32 = a31·b12+a32·b22+a33·b32 c33 = a31·b13+a32·b23+a33·b33 The above is a definition of a product of two 3x3 matrices C=A·B that satisfies our requirement of representing a transformation C equivalent to a composition of transformations of these two matrices, first, B and then A. As you see, we have derived this definition based on a reasonable assumption about its properties. Exactly as in a case of two 2x2 matrices, looking at these expressions above, we can notice that the ij-th element of matrix C is a scalar product of two vectors: i-th row-vector of matrix A, denoted as Ai or ai*=(ai1,ai2,ai3), and j-th column-vector of matrix B, denoted as B j or b*j=(b1j,b2j,b3j).
Views: 54 VID.education
Closest product pair in an array | GeeksforGeeks
 
04:11
Find Complete Code at GeeksforGeeks Article: https://www.geeksforgeeks.org/closest-product-pair-array/ This video is contributed by Kartheek. Please Like, Comment and Share the Video among your friends. Install our Android App: https://play.google.com/store/apps/details?id=free.programming.programming&hl=en If you wish, translate into local language and help us reach millions of other geeks: http://www.youtube.com/timedtext_cs_panel?c=UC0RhatS1pyxInC00YKjjBqQ&tab=2 Follow us on Facebook: https://www.facebook.com/GfGVideos/ And Twitter: https://twitter.com/gfgvideos Also, Subscribe if you haven't already! :)
Views: 1586 GeeksforGeeks
If the product of the matrix   `B=[(2,6,4),(1,0,1),(-1,1,-1)]`  with a matrix A has inverse  `C...
 
07:41
To ask Unlimited Maths doubts download Doubtnut from - https://goo.gl/9WZjCW If the product of the matrix `B=[(2,6,4),(1,0,1),(-1,1,-1)]` with a matrix A has inverse `C=[(-1,0,1),(1,1,3),(2,0,2)]` then `A^-1=`
Views: 0 Doubtnut
Find The product of digits of any number in C language.
 
03:44
Product(multiplication) of digits of any given number by user based on C language. please like and subscribe our channel. for free pdf books please visit on my site http://www.books4learn.yolasite.com
Views: 51 source zone
Vector triple product expansion (very optional) | Vectors and spaces | Linear Algebra | Khan Academy
 
14:25
A shortcut for having to evaluate the cross product of three vectors Watch the next lesson: https://www.khanacademy.org/math/linear-algebra/vectors_and_spaces/dot_cross_products/v/normal-vector-from-plane-equation?utm_source=YT&utm_medium=Desc&utm_campaign=LinearAlgebra Missed the previous lesson? https://www.khanacademy.org/math/linear-algebra/vectors_and_spaces/dot_cross_products/v/dot-and-cross-product-comparison-intuition?utm_source=YT&utm_medium=Desc&utm_campaign=LinearAlgebra Linear Algebra on Khan Academy: Have you ever wondered what the difference is between speed and velocity? Ever try to visualize in four dimensions or six or seven? Linear algebra describes things in two dimensions, but many of the concepts can be extended into three, four or more. Linear algebra implies two dimensional reasoning, however, the concepts covered in linear algebra provide the basis for multi-dimensional representations of mathematical reasoning. Matrices, vectors, vector spaces, transformations, eigenvectors/values all help us to visualize and understand multi dimensional concepts. This is an advanced course normally taken by science or engineering majors after taking at least two semesters of calculus (although calculus really isn't a prereq) so don't confuse this with regular high school algebra. About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Linear Algebra channel:: https://www.youtube.com/channel/UCGYSKl6e3HM0PP7QR35Crug?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 167312 Khan Academy
Ansof Matrix | PRODUCT MARKET EXPANSION GRID |Hindi |
 
06:59
Let's Make Your Business Digital With Lapaas. Join Our Most Advanced Digital Marketing Course. That will cover 23 Modules of Business And Digital Marketing like SEO, SEM, Email Marketing, Social Media Marketing, Affiliate Marketing , Digital Identity Creation, blogging, advanced analytics, blogging, video production, Photoshop, business Knowhow, etc To Know More Call +919540065704 or Visit https://lapaas.com/ Lapaas - Best Digital Marketing Institute 455 Shahbad Daulatpur, Delhi-110042 Nearest Metro Station Samaypur Badli Or Rithala Share, Support, Subscribe!!! Youtube: https://www.youtube.com/IntellectualIndies Twitter: https://twitter.com/Intellectualins Facebook: https://www.facebook.com/IntellectualIndies Facebook Myself: https://www.facebook.com/princesahilkhanna Instagram: https://www.instagram.com/intellectualindies/ Website: sahilkhanna.in About : Intellectual Indies is a YouTube Channel, Intellectual Indies is all about improving Mentally, Emotionally, Psychologically, Spiritually & Physically. #Marketing #Marketing101 #GrowBusiness
Views: 15188 Intellectual Indies
Covariance and correlation
 
05:56
This video explains what is meant by the covariance and correlation between two random variables, providing some intuition for their respective mathematical formulations. Check out https://ben-lambert.com/econometrics-course-problem-sets-and-data/ for course materials, and information regarding updates on each of the courses. Quite excitingly (for me at least), I am about to publish a whole series of new videos on Bayesian statistics on youtube. See here for information: https://ben-lambert.com/bayesian/ Accompanying this series, there will be a book: https://www.amazon.co.uk/gp/product/1473916364/ref=pe_3140701_247401851_em_1p_0_ti
Views: 235482 Ben Lambert
Matrix Groups: Part 3
 
15:26
Based on pages 7 to 9 of my notes. Inner product for n-tuples over K=R,C, H are described using appropriate conjugations. Also, the isometries of these standard inner products naturally give rise to On(K) which produces at once the seemingly distinct matrix groups O(n) over R, U(n) over C and Sp(n) over H; that is orthogonal, unitary and symplectic matrices
Views: 253 James Cook
Find the product of two matrices
 
05:07
Find the product of two matrices
Views: 556 Homer Colunga
Vector dot product and vector length | Vectors and spaces | Linear Algebra | Khan Academy
 
09:10
Definitions of the vector dot product and vector length Watch the next lesson: https://www.khanacademy.org/math/linear-algebra/vectors_and_spaces/dot_cross_products/v/proving-vector-dot-product-properties?utm_source=YT&utm_medium=Desc&utm_campaign=LinearAlgebra Missed the previous lesson? https://www.khanacademy.org/math/linear-algebra/vectors_and_spaces/subspace_basis/v/linear-algebra-basis-of-a-subspace?utm_source=YT&utm_medium=Desc&utm_campaign=LinearAlgebra Linear Algebra on Khan Academy: Have you ever wondered what the difference is between speed and velocity? Ever try to visualize in four dimensions or six or seven? Linear algebra describes things in two dimensions, but many of the concepts can be extended into three, four or more. Linear algebra implies two dimensional reasoning, however, the concepts covered in linear algebra provide the basis for multi-dimensional representations of mathematical reasoning. Matrices, vectors, vector spaces, transformations, eigenvectors/values all help us to visualize and understand multi dimensional concepts. This is an advanced course normally taken by science or engineering majors after taking at least two semesters of calculus (although calculus really isn't a prereq) so don't confuse this with regular high school algebra. About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Linear Algebra channel:: https://www.youtube.com/channel/UCGYSKl6e3HM0PP7QR35Crug?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 640312 Khan Academy
Dominic Williamson: Anyons and matrix product operator algebras
 
37:45
Quantum tensor network states provide a natural framework for the representation of ground states of gapped, topologically ordered systems. From the technological point of view, such systems could be instrumental in creating fault tolerant architectures for quantum computation. From the theoretical point of view, such systems are fascinating due to the fact that all the relevant physics is encoded in the entanglement structure of the corresponding many body wavefunction. This is captured in the tensor network framework by a matrix product operator symmetry of the underlying tensors. In our work we present a systematic study of those matrix product operators, and show how this relates entanglement properties of projected entangled-pair states to the formalism of fusion tensor categories. From the matrix product operators we construct a C*-algebra and find that emergent topological superselection sectors can be identified with the central idempotents of this algebra. This allows us to construct projected entangled-pair states containing an arbitrary number of anyons. Physical properties such as topological spin, the S matrix, fusion and braiding relations are readily extracted from the idempotents. As the matrix product operator symmetries are acting purely on the virtual level of the tensor network, the ensuing Wilson loops are not fattened when perturbing the system. This opens up the possibility of simulating topological theories away from commuting projector fixed point Hamiltonians and studying topological phase transitions due to anyon condensation. We explicitly describe how discrete gauge theories and string-net models fit into the general formalism. Our approach leads to a new description of topological quantum computation where the relevant information is carried by virtual degrees of freedom in a tensor network, reminiscent of the PEPS description of measurement-based quantum computation.
Views: 340 Microsoft Research
If the product C = A B is invertible find A^-1 (A inverse) Linear Algebra 2-5-12
 
02:07
Introduction to Linear Algebra Strang 4th edition 2-5-12 If the product C = A B is invertible (A and B are square), then A itself is invertible. Find a formula for A-I that involves C-1 and B
Views: 335 Marx Academy
The Boston Consulting Group Matrix and the Product Life Cycle
 
13:45
Continuing our series of videos on the ISMM Diploma in Sales and Marketing, this webcast looks at Unit U502, in particular at the Boston Consulting Group Matrix and the Product Life Cycle. Both of these models are useful when analysing marketing communications and product portfolios.
Views: 3740 LAMMORE
Evaluating Product Lines Using the BCG Matrix
 
03:51
Watch the latest from New Venture Mentor: "How to Beat Your Bigger Competitors in Attracting and Retaining Top Talent" https://www.youtube.com/watch?v=b4OD44N7a6k --~-- This video gives a brief description of the Boston Consulting Group (BCG) Matrix method of analyzing various product lines within a business.
Views: 61631 Cate Costa
Product Review: Truth Treatments Skin Care
 
08:38
Sign up for my newsletter for discounts and insider information at http://www.thebeautyshaman.com Products used: Transdermal C Serum: https://bit.ly/2DuxGTn Transdermal C Balm: https://bit.ly/2xSalVC Sample kit: https://bit.ly/2N0SdP1 5% Retinol Gel: https://bit.ly/2xMqVX2 Omega 6 Healing Cream: https://bit.ly/2OPXsCU Makeup: Foundation: Chanel Vitalumiere Aqua http://amzn.to/2gtBiax Blush: Modern Mandarin MAC http://amzn.to/2i1mlzU Lipstick: Dubonnet MAC http://amzn.to/2i3py29 Eyeshadow: Bronze (in crease) http://amzn.to/2kCN1b0 Eyeliner: Technakohl Brownborder http://amzn.to/2i20k42 Mascara: Mabelline Great Lash http://amzn.to/2xxe0pJ This video is not sponsored
Views: 4741 Suzanne Beauty Shaman
eigenvalues of a product of matrices
 
09:00
eigenvalues of a product of matrices, characteristics polynomial of A.B and B.A,
13E A Matrix Equation for the Dot Product
 
03:01
Writing the Euclidean inner product in the form of matrix multiplication.
Views: 1499 Juan Klopper