More info: http://classroomcaboodle.com/teacher-resource/teaching-multiplication/
This is an important step in the process of learning the standard multiplication algorithm. Here is the process, step-by-step by Betsy Weigle of Classroom Caboodle.

Views: 456484
Classroom Caboodle

Learn More at mathantics.com
Visit http://www.mathantics.com for more Free math videos and additional subscription based content!

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mathantics

This video contains the basic of Cartesian Product and Relations will help you in various competitive exams like GATE , NET, PSU'S etc
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KNOWLEDGE GATE

This video contains the basic of Reflexive and Irreflexive Relations will help you in various competitive exams like GATE , NET, PSU'S etc
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KNOWLEDGE GATE

Peter Maasse describes the process of taking an idea from the blackboard to the commercial marketplace. Visit physicsworld.com for more videos, webinars and podcasts.
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Physics World

Dot products are a nice geometric tool for understanding projection. But now that we know about linear transformations, we can get a deeper feel for what's going on with the dot product, and the connection between its numerical computation and its geometric interpretation.
Full series: http://3b1b.co/eola
Future series like this are funded by the community, through Patreon, where supporters get early access as the series is being produced.
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3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted about new videos, subscribe, and click the bell to receive notifications (if you're into that).
If you are new to this channel and want to see more, a good place to start is this playlist: https://goo.gl/WmnCQZ
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3Blue1Brown

For any integers a and b and for any exponents n, (aâ
b)â¿=aâ¿â
bâ¿ and (a/b)â¿=aâ¿/bâ¿. These are worked examples for using these properties with integer exponents.
Watch the next lesson: https://www.khanacademy.org/math/high-school-math/math1/math1-rational-exponents/math1-radicals/v/introduction-to-square-roots?utm_source=YT&utm_medium=Desc&utm_campaign=highschoolmath
Missed the previous lesson? https://www.khanacademy.org/math/high-school-math/math1/math1-rational-exponents/math1-exp-prop-review/v/multiplying-and-dividing-powers-with-integer-exponents?utm_source=YT&utm_medium=Desc&utm_campaign=highschoolmath
High School Math on Khan Academy: Did you realize that the word "algebra" comes from Arabic (just like "algorithm" and "al jazeera" and "Aladdin")? And what is so great about algebra anyway? This tutorial doesn't explore algebra so much as it introduces the history and ideas that underpin it.
About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academyâs High School Math channel: https://www.youtube.com/channel/UCAj83VTec-NC-g0BK8zpxzw?guided_help_flow=3?sub_confirmation=1
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Khan Academy

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Shiksha House

Advanced Engineering Mathematics, Lecture 3.5: Complex inner products and Fourier series.
We begin with a review of how to define the norm in the complex plane, and then how to define the norm in the complex vector space C^n. Just like how the norm in a real vector space can be defined from an inner product, so can the norm in a complex vector space, but there are a few subtle differences. We apply this to the (complex) vector space of periodic functions. Instead of using a basis of sine and cosine waves, we can use a basis of complex exponentials. With respect to the right inner product, these functions form an orthonormal basis. This means that we can write any periodic function uniquely using complex exponentials, called its complex Fourier series. Moreover, just like for real Fourier series, we can derive simple formulas for the Fourier coefficients using the linear algebra theory we've developed -- just take the inner product of f(x) with the corresponding basis function.
Course webpage (with lecture notes, homework, worksheets, etc.): http://www.math.clemson.edu/~macaule/math4340-online.html
Prerequisite: http://www.math.clemson.edu/~macaule/math2080-online.html

Views: 1091
Professor Macauley

This video lecture will help you to understand detailed description of Dot product and Cross product with its Examples.
For any query and feedback, please write at: [email protected]
For latest updates subscribe our channel "YSR EduTech" or join me on Facebook page "YSR EduTech"

Views: 13123
YSR EduTech

CARTESIAN PRODUCT OF SETS
Cartesian product of sets: Let A and B be any two non–empty sets. The set of all ordered pairs (a, b) such that a A and b B is called the cartesian product of the sets A and B and is denoted by A B.
Thus, A × B = [(a, b) : a A and b B]
If A = or B = , then we define A × B = .
Example: Let A = {a, b, c} and B = {p, q}.
Then A × B = {(a, p), (a, q), (b, p), (b, q), (c, p), (c, q)}
Also B × A = {(p, a), (p, b), (p, c), (q, a), (q, b), (q, c)}
Important theorems on cartesian product of sets:
Theorem–1: For any three sets A, B, C
(i) A × (B C) = (A × B) (A × C) (ii) A × (B C) = (A × B) (A × C)
Proof: If A and B are any two non–empty sets, then A × B = B × A A = B
Ex: If A = {0, 1), and B = {1, 0}, then A × B is equal to
(a) {0, 1, 1, 0} (b) {(0, 1), (1, 0)} (c) {0, 0} (d) {(0,1),(0,0),(1,1),(1,0)}
Sol: (d) By the definition of cartesian product of sets
Clearly, A × B = {(0, 1), (0, 0), (1, 1), (1, 0)}.
Ex: If A = {2,4,5}, B = {7,8,9} then n(AB) is equal to
(a) 6 (b) 9 (c) 3 (d) 0
Sol: (b) A × B = {(2, 7), (2, 8), (2, 9), (4, 7), (4, 8), (4, 9), (5, 7), (5, 8), (5, 9)}
n(A × B) = n(A) . n(B) = 3 × 3 = 9.
Ex: If A = {x: x2 – 5x + 6 = 0}, B = {2, 4}, C = {4, 5} then A(BC) is
(a) {(2, 4), (3, 4)} (b) {(4, 2), (4, 3)}
(c) {(2, 4), (3, 4), (4, 4)} (d) {(2,2), (3,3), (4,4), (5,5)}
Sol: (a) Clearly, A = {2,3}, B = {2,4}, C = {4,5} BC = {4} A×(BC) = {(2,4), (3,4)}.
For more such resources go to https://goo.gl/Eh96EY
Website: https://www.learnpedia.in/

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Learnpedia

Discrete Mathematics
Week 05
Lecture 01 - Product Rule
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দ্বিমিক কম্পিউটিং - Dimik Computing

Mathematical Structure of Quantum Mechanics 13 by Kaveh
Inner Product
Bras and Kets Notation
Delta Function

Views: 1617
Kaveh Mozafari

Find the scalar product of pairs of vectors using both techniques.
Instructional exercise consisting of question 5 from the first paper of the 2017 SQA New Higher Mathematics examination.
Where appropriate the alternative methods for solving the problem are also given.
Set out in stages of 'try then check' the worked solution to each part of the question.
Including indications of where each mark is allocated, and the requirements for that mark, according to the marking scheme.

Views: 1646
DLBmaths

Mathematical Structure of Quantum Mechanics 2 by Kaveh in simple words
Inner Product
Bra-Ket

Views: 1353
Kaveh Mozafari

A video from the "Basic Math Video Lab" series from the City College of San Francisco, featuring mathematics instructor "Mr. P." The presentations follow the structure of the chapters from Mary Kay Beavers' basic math book Essential Mathematics.

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CCSFMathlab

Relation and Functions Mathematics CBSE Class X1 Part 2 (Cartesian Product of sets - Concepts) Maths class 11

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ExamFear Education

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Thanks For watching..

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The Mathematics World

Multiply a mixed number using partial products.

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LCUSD Media

How can you take the product of two physical quantities using vectors? In this video you learn to calculate the dot product in a algebraic way and learn the properties of the dot product. This video is part of a mini course on vectors for students of the TU Delft following mechanics courses.

Views: 1036
Vectors mini course

Hello Friends Welcome to GATE lectures by Well Academy
About Course
In this video Discrete Mathematics is started and lets welcome our new educator Krupa rajani. She is going to teach Discrete mathematics for GATE. Discrete maths lectures will be in Hindi and we think for english lectures in Future. The topics like GRAPH theory, SETS, RELATIONS and many more topics with GATE Examples will be Covered. our whole focus for discrete mathematics is on computer science GATE branch and as it completes we will add more lectures for other branches on Well Academy.
About Video
In this video You will learn about Cartesian Product in Discrete Mathematics
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Well Academy

Evaluate and use scalar products from a given geometrical figure of vectors.
Instructional exercise consisting of question 6 from the second paper of the 2015 SQA New Higher Mathematics examination.
Where appropriate the alternative methods for solving the problem are also given.
Set out in stages of 'try then check' the worked solution to each part of the question.
Including indications of where each mark is allocated, and the requirements for that mark, according to the marking scheme.

Views: 6165
DLBmaths

This concept is explained concisely by IITian Faculty.
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Any Time Padhai Academy

Course 3 Mathematics for Machine Learning PCA: Module 2 Inner Products
To get certificate subscribe at: https://www.coursera.org/learn/pca-machine-learning
============================
Mathematics for Machine Learning: Multivariate Calculus https://www.youtube.com/playlist?list=PL2jykFOD1AWa-I7JQfdD-ScBB6XojzmVh
============================
Youtube channel: https://www.youtube.com/user/intrigano
============================
https://scsa.ge/en/online-courses/
https://www.facebook.com/cyberassociation/
About this course: This course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. Using all these tools, we'll then derive PCA as a method that minimizes the average squared reconstruction error between data points and their reconstruction. At the end of this course, you'll be familiar with important mathematical concepts and you can implement PCA all by yourself. If you’re struggling, you'll find a set of jupyter notebooks that will allow you to explore properties of the techniques and walk you through what you need to do to get on track. If you are already an expert, this course may refresh some of your knowledge. This examples and exercises require: 1. Some ability of abstract thinking 2. Good background in linear algebra (e.g., matrix and vector algebra, linear independence, basis) 3. Basic background in multivariate calculus (e.g., partial derivatives, basic optimization) 4. Basic knowledge in python programming and numpy
Who is this class for: This is an intermediate level course. It is probably good to brush up your linear algebra and python programming before you start this course.
________________________________________
Created by: Imperial College London
Module 2 Inner Products
Data can be interpreted as vectors. Vectors allow us to talk about geometric concepts, such as lengths, distances and angles to characterise similarity between vectors. This will become important later in the course when we discuss PCA. In this module, we will introduce and practice the concept of an inner product. Inner products allow us to talk about geometric concepts in vector spaces. More specifically, we will start with the dot product (which we may still know from school) as a special case of an inner product, and then move toward a more general concept of an inner product, which play an integral part in some areas of machine learning, such as kernel machines (this includes support vector machines and Gaussian processes). We have a lot of exercises in this module to practice and understand the concept of inner products.
Learning Objectives
• Explain inner products
• Compute angles and distances using inner products
• Write code that computes distances and angles between images
• Demonstrate an understanding of properties of inner products
• Discover that orthogonality depends on the inner product
• Write code that computes basic statistics of datasets

Views: 465
intrigano

Maths Vector Algebra part 17 (Scalar Dot product) CBSE class 12 Mathematics XII

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ExamFear Education

Discrete Mathematics - The Basics of Counting :The Product Rule -Judemy bangla
Join our Group :
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Views: 1225
Judemy

Advanced Engineering Mathematics, Lecture 1.4: Inner products and orthogonality
In R^n, the length (norm) of vectors and the angles between vectors can all be defined using a dot product. This also gives rise to basic Euclidean geometry, such as the law of cosines and projections. The generalized version of the dot product in an abstract vector space, written (v,w), is called an "inner product", and it endows a vector space with a basic notion of geometry. Two vectors for which (v,w)=0 are said to be "orthogonal", which is the generalized version of perpendicular. We conclude with a few examples of inner products in spaces of periodic functions. In the latter example, the inner product is defined as an integral, and this makes either the complex exponentials, or the sines and cosine waves, into an orthonormal basis. This leads to the notion of a Fourier series, and how to write any periodic function using an infinite sum of complex exponentials, or sines and cosines.
Course webpage (with lecture notes, homework, worksheets, etc.): http://www.math.clemson.edu/~macaule/math4340-online.html
Prerequisite: http://www.math.clemson.edu/~macaule/math2080-online.html

Views: 1154
Professor Macauley

mathematics for first semester diploma students

Views: 13422
dte edusat

This video covers the the topics : Ordered pairs and Cartesian Product for JEE Main.
Complete Chapter playlist Sets, Relations and Functions for JEE Main and Advanced.
https://www.youtube.com/playlist?list=PLFcidHFGx2VSuPDMuc0mpBj9X5Tv308Eq
Visit https://vineetloomba.com for free IIT-JEE Preparation. Free Notes and Assignments on Physics, Chemistry and Maths.
For More Videos follow me at https://www.facebook.com/vineetiitr/
Comment the topics on which you want a video on.

Views: 1753
Er. Vineet Loomba - B.Tech. IIT Roorkee

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: 738711
patrickJMT

How to multiply vectors? You can multiply vectors and find a perpendicular vector by using the cross product. This video shows you the Amsterdam method to calculate the cross product and teaches you the right hand rule to determine the direction of the resulting vector. This video is part of a mini course on vectors for students of the TU Delft following mechanics courses.

Views: 6099
Vectors mini course

Course 3 Mathematics for Machine Learning PCA: Module 2 Inner Products
To get certificate subscribe at: https://www.coursera.org/learn/pca-machine-learning
============================
Mathematics for Machine Learning: Multivariate Calculus https://www.youtube.com/playlist?list=PL2jykFOD1AWa-I7JQfdD-ScBB6XojzmVh
============================
Youtube channel: https://www.youtube.com/user/intrigano
============================
https://scsa.ge/en/online-courses/
https://www.facebook.com/cyberassociation/
About this course: This course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. Using all these tools, we'll then derive PCA as a method that minimizes the average squared reconstruction error between data points and their reconstruction. At the end of this course, you'll be familiar with important mathematical concepts and you can implement PCA all by yourself. If you’re struggling, you'll find a set of jupyter notebooks that will allow you to explore properties of the techniques and walk you through what you need to do to get on track. If you are already an expert, this course may refresh some of your knowledge. This examples and exercises require: 1. Some ability of abstract thinking 2. Good background in linear algebra (e.g., matrix and vector algebra, linear independence, basis) 3. Basic background in multivariate calculus (e.g., partial derivatives, basic optimization) 4. Basic knowledge in python programming and numpy
Who is this class for: This is an intermediate level course. It is probably good to brush up your linear algebra and python programming before you start this course.
________________________________________
Created by: Imperial College London
Module 2 Inner Products
Data can be interpreted as vectors. Vectors allow us to talk about geometric concepts, such as lengths, distances and angles to characterise similarity between vectors. This will become important later in the course when we discuss PCA. In this module, we will introduce and practice the concept of an inner product. Inner products allow us to talk about geometric concepts in vector spaces. More specifically, we will start with the dot product (which we may still know from school) as a special case of an inner product, and then move toward a more general concept of an inner product, which play an integral part in some areas of machine learning, such as kernel machines (this includes support vector machines and Gaussian processes). We have a lot of exercises in this module to practice and understand the concept of inner products.
Learning Objectives
• Explain inner products
• Compute angles and distances using inner products
• Write code that computes distances and angles between images
• Demonstrate an understanding of properties of inner products
• Discover that orthogonality depends on the inner product
• Write code that computes basic statistics of datasets

Views: 535
intrigano

TN SCERT Proudly Presents...
Standard Eleven... New Text Book - Mathematics Video Lesson

Views: 1280
TN SCERT

For watching all videos in proper course & sequence, You may login FREE OF COST to
http://www.dineshmiglani.com/
For BUYING FULL COURSE for SSC , CAT, CLAT, IPM, GOVT JOB EXAM, MBA EXAMS
CONTACT Mr. Dinesh Miglani at 09215514435 or [email protected]
DINESH MIGLANI TUTORIALS is an initiative to assist students who can not afford costly coaching or require some more time to understand the concept taught in huge size class rooms. Students who are preparing for Government Jobs SSC, Banking, IBPS, SBI, Clerical, Probationary Officer, PO, RRB, Railways, Apprentice, LIC, FCI, Army, Airforce, AFCAT, NDA, CDS, MBA Entrance Exams , CAT, XAT , IIFT, IRMA, NMAT, MHCET, CMAT, MAT, ATMA, BBA, CLAT, LSAT, HOTEL MANAGEMENT, NTSE, OLYMPIADS, MCA, NIMCET, HTET, CTET , IIT, JEE have access to Qualitative and Comprehensive Video Sessions of Expert and Renowned Faculties on Quantitative Aptitude ( Maths), Reasoning ( Verbal and Nonverbal), English ( Grammar, Vocabulary, Comprehension etc ) General Knowledge, Data Interpretation, Data Analysis, Data Sufficiency, Current Affairs FREE OF COST on this channel.

Views: 25369
Dinesh Miglani Tutorials

Hello Students, In this video I will be teaching you Differential Equation. So this is Going to be our 9th Part of the "Vector" series in the Punjabi language. To see All Parts of this Please visit our playlist section.
For regular mathematics videos in the Punjabi language, please subscribe to our channel and do not forget to press the bell icon.
If you have any doubt or you want to inquire something, then please leave a comment below.
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Also get connected with Thousands of students over our other social handles:-
Facebook: https://www.facebook.com/Maths-A-to-Z-1937682429690944/
Instagram: https://www.instagram.com/jatinder_mathsatoz/

Views: 97
Jatinder- Maths A to Z

Mathematics in Bengali for Class 11 & 12 Students. Relations & Functions
#TheProgressors
To understand relation & functions, Cartesian product and Ordered pair is the basic most important concept.
To understand the concept of Relation we need to clear the basic fundamentals of Cartesian product. And to know the same we need to learn about ordered pair first.
For any queries please feel free to comment below. You can also contact us via email [email protected] or FB page https://www.facebook.com/theprogressors17/
Next Video Link: https://www.youtube.com/watch?v=3s5bjR2S0fQ&t=96s

Views: 9433
The Progressors

In this online lecture, Sir Sardaar Abdul Qadeer explain 2nd year Mathematics Chapter 07 Vector.The topic being discussed is topic exercise 7.3 Question no 12.
Punjab text board/Sindh text board/KPK text board inter part 2 Mathematics book 1st lecture is conducted in Urdu/ Hindi/English.This lecture for pre Medical/pre Engineering 12th class for mathematics chapter 07 is created for all students.Who want to prepare this topic in detail.
For more videos of Sardaar Abdul Qadeer visit http://www.youtube.com/c/GreatScience...

Views: 57
Great Science Academy

A very important definition in Linear Algebra is that of the matrix-vector product. You will certainly remember the definition after watching this video. This prelecture video is part of the linear algebra courses taught at TU Delft.

Views: 1408
Mathematics TU Delft

Class 10th Maths Polynomials Find quadratic polynomial with sum and product of zeroes as 1/4, 1. Solutions of class x.
In class 9th and 8th, we learnt that a polynomial is an expression consisting of variables and coefficients, that involves only the operations of addition, subtraction, multiplication, and non-negative integer exponents of variables.
The highest power of the variable in a polynomial is called degree of the polynomial. Hence,
A polynomial with degree1 is called linear polynomial, A polynomial with degree 2 is called quadratic polynomial, and a polynomial with degree 3 is called cubic polynomial.
A polynomial comprises of terms and if polynomial contains only one term it is called monomial, a polynomial having two terms is called binomial, and having three terms is called trinomial. If a polynomial has more than three terms we call is polynomial.
In this series of video lessons by Mathetonic we shall learn:
1. What a polynomial is.
2. Types of polynomials on basis of degree and number of terms.
3. Find zeroes of polynomials (quadratic polynomials and cubic polynomials)
4. Relationship between the zeroes and the coefficients of the polynomials.
5. Find quadratic polynomial when sum and product of the zeroes of the polynomial are given.
6. Solve the questions by splitting middle term.
7. Division algorithm of polynomial. (Divide a polynomial by another polynomial)
The mathematics channel from Jammu and Kashmir.
For any queries or question or suggestion:
Contact: [email protected]
Facebook: https://www.facebook.com/groups/215214128885154/

Views: 3339
Mathematics Class 9th and 10th

Course 3 Mathematics for Machine Learning PCA: Module 2 Inner Products
To get certificate subscribe at: https://www.coursera.org/learn/pca-machine-learning
============================
Mathematics for Machine Learning: Multivariate Calculus https://www.youtube.com/playlist?list=PL2jykFOD1AWa-I7JQfdD-ScBB6XojzmVh
============================
Youtube channel: https://www.youtube.com/user/intrigano
============================
https://scsa.ge/en/online-courses/
https://www.facebook.com/cyberassociation/
About this course: This course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. Using all these tools, we'll then derive PCA as a method that minimizes the average squared reconstruction error between data points and their reconstruction. At the end of this course, you'll be familiar with important mathematical concepts and you can implement PCA all by yourself. If you’re struggling, you'll find a set of jupyter notebooks that will allow you to explore properties of the techniques and walk you through what you need to do to get on track. If you are already an expert, this course may refresh some of your knowledge. This examples and exercises require: 1. Some ability of abstract thinking 2. Good background in linear algebra (e.g., matrix and vector algebra, linear independence, basis) 3. Basic background in multivariate calculus (e.g., partial derivatives, basic optimization) 4. Basic knowledge in python programming and numpy
Who is this class for: This is an intermediate level course. It is probably good to brush up your linear algebra and python programming before you start this course.
________________________________________
Created by: Imperial College London
Module 2 Inner Products
Data can be interpreted as vectors. Vectors allow us to talk about geometric concepts, such as lengths, distances and angles to characterise similarity between vectors. This will become important later in the course when we discuss PCA. In this module, we will introduce and practice the concept of an inner product. Inner products allow us to talk about geometric concepts in vector spaces. More specifically, we will start with the dot product (which we may still know from school) as a special case of an inner product, and then move toward a more general concept of an inner product, which play an integral part in some areas of machine learning, such as kernel machines (this includes support vector machines and Gaussian processes). We have a lot of exercises in this module to practice and understand the concept of inner products.
Learning Objectives
• Explain inner products
• Compute angles and distances using inner products
• Write code that computes distances and angles between images
• Demonstrate an understanding of properties of inner products
• Discover that orthogonality depends on the inner product
• Write code that computes basic statistics of datasets

Views: 313
intrigano

Mathematics Class 10th Polynomials Find quadratic polynomial with sum and product of rootsas 4,1. Solution of ncert cbse jkbose Mathematics Class X
In class 9th and 8th, we learnt that a polynomial is an expression consisting of variables and coefficients, that involves only the operations of addition, subtraction, multiplication, and non-negative integer exponents of variables.
The highest power of the variable in a polynomial is called degree of the polynomial. Hence,
A polynomial with degree1 is called linear polynomial, A polynomial with degree 2 is called quadratic polynomial, and a polynomial with degree 3 is called cubic polynomial.
A polynomial comprises of terms and if polynomial contains only one term it is called monomial, a polynomial having two terms is called binomial, and having three terms is called trinomial. If a polynomial has more than three terms we call is polynomial.
In this series of video lessons by Mathetonic we shall learn:
1. What a polynomial is.
2. Types of polynomials on basis of degree and number of terms.
3. Find zeroes of polynomials (quadratic polynomials and cubic polynomials)
4. Relationship between the zeroes and the coefficients of the polynomials.
5. Find quadratic polynomial when sum and product of the zeroes of the polynomial are given.
6. Solve the questions by splitting middle term.
7. Division algorithm of polynomial. (Divide a polynomial by another polynomial)
The mathematics channel from Jammu and Kashmir.
For any queries or question or suggestion:
Contact: [email protected]
Facebook: https://www.facebook.com/groups/215214128885154/

Views: 313
Mathematics Class 9th and 10th

Hello Students, In this video I will be teaching you all about the dreaded "Vectors" where we learn about the the dot product/scaler product method of vectors. So lets jump into our 6th Part of the "Vector" series exclusively in Punjabi language. To see All Parts of the series please visit our playlist section.
For regular mathematics videos in the Punjabi language, please subscribe to our channel and do not forget to press the bell icon so you don't miss out.
If you have any doubt or you want to inquire something, then please leave a comment below.
------------------------------------------------------------------------------------------
Also connect with Thousands of fellow maths lovers like you over our other social handles:-
Facebook: https://www.facebook.com/Maths-A-to-Z-1937682429690944/
Instagram: https://www.instagram.com/jatinder_mathsatoz/

Views: 127
Jatinder- Maths A to Z

Video Lecture on Product Law of Logarithms from Logarithm chapter of Mathematics Class 11 for HSC,JEE Main & Advanced,NEET.
Watch Previous 2 Videos of Chapter Logarithm:-
1) Definition of Logarithm - Logarithm - Mathematics Class 11 | Ekeeda.com - https://youtu.be/A4_KEe0sMgU
2) Properties of Logarithm - Logarithm - Mathematics Class 11 | Ekeeda.com - https://youtu.be/EQ3mVYxQaco
Watch Next 2 Videos of Chapter Logarithm:-
1) Quotient Law of Logarithms - Logarithms Law - Logarithm - Mathematics Class 11 | Ekeeda.com - https://youtu.be/Qpx44nWJogA
2) Exponent Law of Logarithms - Logarithms Law - Logarithm - Mathematics Class 11 | Ekeeda.com - https://youtu.be/BNlrE7A3tF4
Access the complete playlist of Mathematics Class 11 http://gg.gg/Mathematics-Class-11
Subscribe to Ekeeda Channel to access more videos http://gg.gg/Subscribe-Now
#ProductLawofLogarithms
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Thanks For Watching. You can follow and Like us on following social media.
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Happy Learning : )

Views: 286
Ekeeda

Always remember that the result of the product rule for differentiation is the sum of two terms. After watching this video, you will never forget. This prelecture video is part of the calculus courses taught at TU Delft.

Views: 1530
Mathematics TU Delft

In this online lecture, Sir Sardaar Abdul Qadeer explain 2nd year Mathematics Chapter 07 Vector.The topic being discussed is topic exercise 7.2 Question no 09 to 12.
Punjab text board/Sindh text board/KPK text board inter part 2 Mathematics book 1st lecture is conducted in Urdu/ Hindi/English.This lecture for pre Medical/pre Engineering 12th class for mathematics chapter 07 is created for all students.Who want to prepare this topic in detail.
For more videos of Sardaar Abdul Qadeer visit http://www.youtube.com/c/GreatScience...

Views: 61
Great Science Academy

On this episode, we present combinatorics for computer science and discrete mathematics for computer science, rule of sum and product...
About Discrete Math
Discrete mathematics is the study of mathematical structures that are fundamentally discrete rather than continuous. In contrast to real numbers that have the property of varying "smoothly", the objects studied in discrete mathematics – such as integers, graphs, and statements in logic[1] – do not vary smoothly in this way, but have distinct, separated values.[2] Discrete mathematics therefore excludes topics in "continuous mathematics" such as calculus and analysis. Discrete objects can often be enumerated by integers. More formally, discrete mathematics has been characterized as the branch of mathematics dealing with countable sets[3] (sets that have the same cardinality as subsets of the natural numbers, including rational numbers but not real numbers). However, there is no exact definition of the term "discrete mathematics."[4] Indeed, discrete mathematics is described less by what is included than by what is excluded: continuously varying quantities and related notions

Views: 2065
Deliberate Think