This document provides an overview of matrices and matrix operations. It begins by stating the objectives of understanding matrix characteristics, applying basic matrix operations, knowing inverse matrices up to 3x3, and solving simultaneous linear equations up to 3 variables. It then defines what a matrix is, discusses matrix dimensions and types of matrices. The document outlines various matrix operations including addition, subtraction, multiplication and scalar multiplication. It provides examples of how to perform these operations. It also covers the transpose of a matrix and inverse matrices.
It contains the basics of matrix which includes matrix definition,types of matrices,operations on matrices,transpose of matrix,symmetric and skew symmetric matrix,invertible matrix,
application of matrix.
matrices
The beginnings of matrices goes back to the second century BC although traces can be seen back to the fourth century BC. However it was not until near the end of the 17th Century that the ideas reappeared and development really got underway.
It is not surprising that the beginnings of matrices and determinants should arise through the study of systems of linear equations. The Babylonians studied problems which lead to simultaneous linear equations and some of these are preserved in clay tablets which survive.
It contains the basics of matrix which includes matrix definition,types of matrices,operations on matrices,transpose of matrix,symmetric and skew symmetric matrix,invertible matrix,
application of matrix.
matrices
The beginnings of matrices goes back to the second century BC although traces can be seen back to the fourth century BC. However it was not until near the end of the 17th Century that the ideas reappeared and development really got underway.
It is not surprising that the beginnings of matrices and determinants should arise through the study of systems of linear equations. The Babylonians studied problems which lead to simultaneous linear equations and some of these are preserved in clay tablets which survive.
In mathematics, a matrix (plural matrices) is a rectangular array of numbers, symbols, or expressions, arranged in rows and columns. For example, the dimensions of the matrix below are 2 × 3 (read "two by three"), because there are two rows and three columns.
Applications of matrices are found in most scientific fields. In every branch of physics, including classical mechanics, optics, electromagnetism, quantum mechanics, and quantum electrodynamics, they are used to study physical phenomena, such as the motion of rigid bodies.
The following presentation consists of information about the application of matrices. The ppt particularly focuses on the its use in cryptography i.e. encoding and decoding of messages.
Basic Concept of discrete math. I discuss a few topic of basic discrete math. I think you get a clear concept. Topics are definition,story of discrete math, Importance of discrete math, and many other basic topic.
In mathematics, a matrix (plural matrices) is a rectangular array of numbers, symbols, or expressions, arranged in rows and columns. For example, the dimensions of the matrix below are 2 × 3 (read "two by three"), because there are two rows and three columns.
Applications of matrices are found in most scientific fields. In every branch of physics, including classical mechanics, optics, electromagnetism, quantum mechanics, and quantum electrodynamics, they are used to study physical phenomena, such as the motion of rigid bodies.
The following presentation consists of information about the application of matrices. The ppt particularly focuses on the its use in cryptography i.e. encoding and decoding of messages.
Basic Concept of discrete math. I discuss a few topic of basic discrete math. I think you get a clear concept. Topics are definition,story of discrete math, Importance of discrete math, and many other basic topic.
Application of matrix
1. Encryption, its process and example
2. Decryption, its process and example
3. Seismic Survey
4. Computer Animation
5. Economics
6. Other uses...
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Classification Matrices execute measurements, for example, Log-Loss, Accuracy, AUC(Area under Curve), and so on. Another case of metric for assessment of AI calculations is exactness, review, which can be utilized for arranging calculations principally utilized via web indexes.
Matrix is the structure squares of information science. They show up in different symbols across dialects. From Numpy clusters in Python to data frames in R, to lattices in MATLAB. The Matrix in its most essential structure is an assortment of numbers masterminded in a rectangular or cluster like the style
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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3. INDEX
OBJECTIVES
DIMENSIONS
TYPES OF MATRICES
OPERATION ON MATRICES
- Addition
- Subtraction
- Multiplication
- Scalar Multiplication
SOLVING MATRICES PROBLEMS
TRANSPOSE OF MATRIX
WHAT IS A MATRIX
TUTORIAL A
SOLVING SIMULTANEOUS EQUATION
INVERSE MATRIX
4. OBJECTIVES:
- Know characteristics of matrices
- Apply basic operations on matrices
- Know the inverse matrices (up to
3X3)
- Solve simultaneous linear equations
up to 3 variables
5. OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
Matrix : A rectangular arrangement of
numbers in rows and columns
Order/Dimensions/Size of a
matrix is the number of the rows
and columns
Entries /Elements are the numbers
in the matrix
6. OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
row
2
3
4
0
1
2
column
(# no. of row) x ( #
no. of column)
DIMENSIONS OF THE MATRIX :
So……..
This is a 2 X 3 matrix
7. OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
A matrix with m rows and n columns is
called a matrix with dimensions m x n
Example : Find the dimensions of the
matrix.
1
9
7
3
2
4
)
a
2
9
3
7
0
5
)
b
3
8
1
)
c
5
1
2
3
4
8
10
9
7
)
d
2 X 3 3 X 2
1 X 3 3 X 3
8. OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
Find the dimensions of the following matrix
5
)
a
7
1
)
b
2
3
4
9
)
c
1 X 1
2 X 1
2 X 2
10. No of rows = No of column
2
3
4
5
T 2 X 2
Square
matrix
5
3
4
0
2
6
1
4
8
A 3 X 3
Square
matrix
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
11. All entries = 0 EXCEPT at least one
Of the diagonal entries
1
0
0
0
5
0
0
0
3
T
diago
nal
0
0
1
0
5
0
3
0
0
T
Diagon
al
Matrix
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
12. Diagonal entries = 1
All other entries = 0
1
0
0
0
1
0
0
0
1
I
0
0
1
0
1
0
1
0
0
I
1
0
0
1
I
0
1
1
0
I
exampl
e
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
13. Element in row change into column
and element in column change into rows
1
8
1
6
5
7
4
2
3
B
1
6
4
8
5
2
1
7
3
T
B
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
16. -Both matrix must have the same
dimensions to do addition
operation
-To add matrices, we add the
corresponding elements
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
17. Example :
4
5
1
2
A
8
7
6
5
B
Find A + B
B
A 2 + 5 1 + 6
5 + 7 4+ 8
12
12
7
7
B
A
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
CALC
GEO
18. Find A + B
4
5
3
2
)
B
and
A
a
3
2
3
9
4
2
9
8
7
2
3
8
) B
and
A
b
7
7
B
A
12
10
4
11
7
6
B
A
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
19. -Both matrix must have the same
dimensions to do subtraction operation
-To subtract matrices, we subtract the
corresponding elements
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
20. Example :
4
5
1
2
A
8
7
6
5
B
Find A - B
B
A 2 -
5
1 -
6
5 -
7
4- 8
4
2
5
3
B
A
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
GEO
21. Find A - B
4
5
3
2
)
B
and
A
a
3
2
3
9
4
2
9
8
7
2
3
8
) B
and
A
b
1
3
B
A
6
6
10
7
1
10
B
A
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
23. Example :
6
3
4
2
5
Solve
5 X
2
5 X -
4
5 X -
3
5 X 6
30
15
20
10
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
GEO
24. Solve the following :
12
9
3
4
)
a
16
12
9
8
7
2
3
8
5
)
b
45
40
35
10
15
40
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
25. Look at the dimension of matrices A and B to do
MULTIPLICATIONS
must be same
size of product
If the numbers of columns of A does
NOT EQUAL the number of rows of B,
then…
A X B is
UNDEFINED..!!
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
26. Example :
7
4
3
1
5
2
A
8
3
2
B
and
Find A X B.
8
3
2
7
4
3
1
5
2
B
X
A
2 X 3 3 X 1
sam
e
Size of product =
2 X 1
VERY
IMPORTANT!!
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
27.
AXB (2 x 2) + (5x 3) + (1x 8)
(3x2) + (4x3) + (7x8)
56
12
6
8
15
4
AXB
74
27
AXB
8
3
2
7
4
3
1
5
2
B
X
A
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
GEO
28. .
.
12
6
4
5
7
8
2
5
1
2
3
9
) AXB
Find
B
and
A
a
.
.
7
5
6
4
5
8
) PXQ
Find
Q
and
P
b
22
8
20
9
81
60
AXB
5
PXQ
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
31. 17 x - 15
=19
17 x = 15 +
19
17 x =
34
x = 34/17
x = 2
6 y + 13 =
1
6 y = 13 -
1
6y = 12
y =
12/6
y =
2
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
43. 2 X 2
3 X 3
Formula :
adjA
A
A
1
1
.
.
6
5
4
5 1
A
Find
A
)
4
(
5
)
6
(
5
A
20
30
A
10
A
Example :
1. Determinant A
GEO
2 X 2
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
44. 2. Minor A
6
5
4
5
A
6
5
4
5
M What you can
see??
6
11
m 5
12
m
4
21
m 5
22
m
5
4
5
6
Minor
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
45. 3. Cofactor A
5
4
5
6
Minor
5
4
5
6
Cofactor
4. Adjoint A
5
5
4
6
A
Adj
adjA
A
A
1
1
5
5
4
6
10
1
1
A
5. Inverse A
2
1
2
1
5
2
5
3
10
1
GEO
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
46. Formula :
Example :
.
sin
.
3
1
7
2
3
5
1
1
2
1
Matrix
Inverse
g
u
by
A
Find
A
1. Determinant A
7
7
3
1
7
3
5
2
3
5
1
2
1
1
2
A
3
3
2
A
7
2
1
7
5
1
1
3
7
2
2
1
1
5
3
35
14
18
A
15
4
21
33
A
3 X 3
adjA
A
A
1
1
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
47. 2. Minor
3
1
7
2
3
5
1
1
2
A
11
2
1
3
3
3
1
2
3
11
11
11
m
m
m
1
2
7
3
5
3
7
2
5
12
12
12
m
m
m
26
3
7
1
5
1
7
3
5
13
13
13
m
m
m
2
1
1
3
1
3
1
1
1
21
21
21
m
m
m
1
7
1
3
2
3
7
1
2
22
22
22
m
m
m
5
1
7
1
2
1
7
1
2
23
23
23
m
m
m
5
3
1
2
1
2
3
1
1
31
31
31
m
m
m
1
5
1
2
2
2
5
1
2
32
32
32
m
m
m
11
33
5
1
3
2
33
3
5
1
2
33
m
m
m
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables
50. Cramer’s Rule Formula :
A
A
z
A
A
y
A
A
x z
y
x
INVERSE MATRIX CRAMER’S RULE
Inverse Matrix Formula :
adjA
A
A
1
1
OBJECTIVES :
-Know
characteristics
of matrices
-Apply basic
operations on
matrices
-Know the
inverse
matrices (up to
3X3)
-Solve
simultaneous
linear
equations up to
3 variables