This document provides an overview of Gaussian elimination for solving systems of linear equations. It begins with examples of single and multi-variable linear equations. It then introduces the concept of representing a system of equations using an augmented matrix and describes row operations that can be performed on the matrix without changing the solution. The document walks through using Gaussian elimination to solve a sample system of 3 equations in 3 variables. It concludes with more details on the elimination process, including performing a "backward pass" to solve for the variables.
I have added to the original presentation in response to one of the comments.... the result of 'x' is correct on slide 7, take a look at the new version of this ppt to clear up any confusion about why...
I have added to the original presentation in response to one of the comments.... the result of 'x' is correct on slide 7, take a look at the new version of this ppt to clear up any confusion about why...
For more instructional resources, CLICK me here!
https://tinyurl.com/y9muob6q
LIKE and FOLLOW me here!
https://tinyurl.com/ycjp8r7u
https://tinyurl.com/ybo27k2u
For more instructional resources, CLICK me here!
https://tinyurl.com/y9muob6q
LIKE and FOLLOW me here!
https://tinyurl.com/ycjp8r7u
https://tinyurl.com/ybo27k2u
These are the slides from the review session. THE FILE IS BIG AND MAY HAVE BEEN CORRUPTED. IF YOU CAN'T SEE IT THROUGH THE FLASH INTERFACE, JUST CLICK THE "DOWNLOAD" LINK and view it on your own computer.
memperkenalkan konsep perkalian kepada anak kelas 2 merupakan perjuangan yang sangat sulit. Ini merupakan pondasi pertama untuk menuju level berikutnya...
Solucion de problemas de ecuaciones difrenciales hasta 19JAVIERTELLOCAMPOS
Este archivo contiene problemas resueltos del curso de ecuaciones diferenciales, cada problema esta resuelto paso a paso para su mejor comprensión del lector
Este archivo contiene problemas resueltos del curso de ecuaciones diferenciales, cada problema esta resuelto paso a paso para su mejor comprensión del lector
Streamlining assessment, feedback, and archival with auto-multiple-choiceMatthew Leingang
Auto-multiple-choice (AMC) is an open-source optical mark recognition software package built with Perl, LaTeX, XML, and sqlite. I use it for all my in-class quizzes and exams. Unique papers are created for each student, fixed-response items are scored automatically, and free-response problems, after manual scoring, have marks recorded in the same process. In the first part of the talk I will discuss AMC’s many features and why I feel it’s ideal for a mathematics course. My contributions to the AMC workflow include some scripts designed to automate the process of returning scored papers
back to students electronically. AMC provides an email gateway, but I have written programs to return graded papers via the DAV protocol to student’s dropboxes on our (Sakai) learning management systems. I will also show how graded papers can be archived, with appropriate metadata tags, into an Evernote notebook.
Integration by substitution is the chain rule in reverse.
NOTE: the final location is section specific. Section 1 (morning) is in SILV 703, Section 11 (afternoon) is in CANT 200
Lesson 24: Areas and Distances, The Definite Integral (handout)Matthew Leingang
We can define the area of a curved region by a process similar to that by which we determined the slope of a curve: approximation by what we know and a limit.
Lesson 24: Areas and Distances, The Definite Integral (slides)Matthew Leingang
We can define the area of a curved region by a process similar to that by which we determined the slope of a curve: approximation by what we know and a limit.
At times it is useful to consider a function whose derivative is a given function. We look at the general idea of reversing the differentiation process and its applications to rectilinear motion.
At times it is useful to consider a function whose derivative is a given function. We look at the general idea of reversing the differentiation process and its applications to rectilinear motion.
Uncountably many problems in life and nature can be expressed in terms of an optimization principle. We look at the process and find a few good examples.
Uncountably many problems in life and nature can be expressed in terms of an optimization principle. We look at the process and find a few good examples.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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/
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
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.
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.
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
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.
Leading Change strategies and insights for effective change management pdf 1.pdf
Lesson 9: Gaussian Elimination
1. Lesson 9
Gaussian Elimination (KH, Section 1.6)
Math 20
October 10, 2007
Announcements
Problem Set 4 will be on the course web site today. Due
10/17
Prob. Sess.: Sundays 6–7 (SC B-10), Tuesdays 1–2 (SC 116)
OH Mon 1–2, Tues 3–4, Weds 1–3 (SC 323)
Midterm I 10/18, Hall A 7–8:30pm
Review Session (ML), 10/16, 7:30–9:30 Hall E
2. Systems of Linear equations
Any set (system) of equations involving one or more variables, in
which each equation involves a linear combination of the variables.
3. Systems of Linear equations
Any set (system) of equations involving one or more variables, in
which each equation involves a linear combination of the variables.
Example
Here is a single linear equation in one variable:
4x + 2 = 6
4.
5. Systems of Linear equations
Any set (system) of equations involving one or more variables, in
which each equation involves a linear combination of the variables.
Example
Here is a single linear equation in one variable:
4x + 2 = 6
Solution
Subtract 2 from each side and you get 4x = 4. Divide both sides
by 4 and you get x = 1.
6. Two equations in two variables
Example
Solve 2x + y = 3, x + 2y = 0.
7.
8. Two equations in two variables
Example
Solve 2x + y = 3, x + 2y = 0.
Solution
x = 2, y = −1.
9. Three equations in three variables
Example
Solve the system of linear equations
2x2 − 3x3 = 4
−2x1 + x2 + 2x3 = −6
2x1 + x3 = 0
10. Three equations in three variables
Example
Solve the system of linear equations
2x2 − 3x3 = 4
−2x1 + x2 + 2x3 = −6
2x1 + x3 = 0
The more variables you get, the bigger the need for a systematic
way of solving systems of linear equations.
11. The Matrix viewpoint on SLEs
A system of m equations in n variables looks like:
a11 x1 + a12 x2 + . . . + a1n xn = b1
a21 x1 + a22 x2 + . . . + a2n xn = b2
. . . .
..
. . . .
.
. . . .
am1 x1 + am2 x2 + . . . + amn xn = bm
The operative data are the coefficients and the right-hand sides.
We can summarize it like this:
a11 a12 . . . a1n x1 b1
a21 a22 . . . a2n x2 b2
. . = . , or Ax = b
. . ..
. . . . .
.
. . . . .
am1 am2 . . . amn xn bn
12.
13. The augmented matrix
In fact, we can express the whole system of linear equations in a
single matrix, called the augmented matrix:
a11 a12 . . . a1n b1
a21 a22 . . . a2n b2
. . .. . .
. . . .
.
. . . .
am1 am2 . . . amn bm
14.
15. Operations on systems of equations
Here are some facts about systems of equations.
1. Transposing equations doesn’t change their solution.
2. Scaling an equation doesn’t change its solution.
3. If a set of numbers satisfies two equations, then it also satisfies
the equation which is one plus a scalar multiple of the other.
16. Operations on systems of equations
Here are some facts about systems of equations.
1. Transposing equations doesn’t change their solution.
2. Scaling an equation doesn’t change its solution.
3. If a set of numbers satisfies two equations, then it also satisfies
the equation which is one plus a scalar multiple of the other.
A simpler form might be
3’. If a set of numbers satisfies two equations, it satisfies the sum
of the two equations.
17.
18. Row Operations
The operations on systems of linear equations are reflected in the
augmented matrix, too.
1. Transposing (switching) rows in an augmented matrix does
not change the solution.
2. Scaling any row in an augmented matrix does not change the
solution.
3. Adding to any row in an augmented matrix any multiple of
any other row in the matrix does not change the solution.
19. The Process of Gaussian Elimination
We’ll solve the system of linear equations
2x2 − 3x3 = 4
−2x1 + x2 + 2x3 = −6
2x1 + x3 = 0
The augmented matrix is
0 2 −3 4
−2 1 2 −6
20 1 0
21. Transpose the first and third equations:
2 −3 ←−
0 4 2 0 1 0
−2 1 − 6 −2 1 − 6
2 2
←− −3
2 0 1 0 0 2 4
Now we can add the first row to the second and get another zero
in that column.
2 0 1 0 20 1 0
−2 1 − 6 ← +− − 6
2 0 1 3
2 −3 0 2 −3
0 4 4
22. We add (-2) times the second row to the third row.
20 1 0 20 1 0
−6 − 6
0 1 3 0 1 3
−2
0 2 −3 ←+
− −9
4 00 16
23. We add (-2) times the second row to the third row.
20 1 0 20 1 0
−6 − 6
0 1 3 0 1 3
−2
0 2 −3 ←+
− −9
4 00 16
This matrix is in row echelon form. The corresponding SLE can
be solved by back-substitution.
24.
25.
20 1 0
− 6
0 1 3
−9
00 16
Since −9x3 = 16, we have x3 = − 16 . Substituting this into the
9
second equation gives
−6
48 54 2
x2 − = −6 = − =− .
=⇒ x2 =
9 9 9 3
Finally, we have
16 8
2x1 − = 0 =⇒ x1 = .
9 9
26. More Gaussian Elimination: The “backward pass”
Starting with the last matrix above, we scale the last row by − 1 :
9
201 0
20 1 0
−6
− 6 0 1 3
0 1 3
− 16
1
−9 |− 001
00 16 9
9
27. More Gaussian Elimination: The “backward pass”
Starting with the last matrix above, we scale the last row by − 1 :
9
201 0
20 1 0
−6
− 6 0 1 3
0 1 3
− 16
1
−9 |− 001
00 16 9
9
Now we can zero out the third column above that bottom entry,
by adding (-3) times the third row to the second row, then adding
(-1) times the third row to the first row.
16
← − −+
−−
201 0 200 9
−6
−6 ←+
−
0 1 3 0 1 0
9
− 16 − 16
001 001
−3 −1
9 9
28. The top row can be scaled by 1 , and we finally have
2
16 1 8
|2
200 100
9 9
−6 −6
0 1 0 0 1 0
9 9
− 16 − 16
001 001
9 9
This matrix is said to be in reduced row echelon form.
29. The top row can be scaled by 1 , and we finally have
2
16 1 8
|2
200 100
9 9
−6 −6
0 1 0 0 1 0
9 9
− 16 − 16
001 001
9 9
This matrix is said to be in reduced row echelon form.
And there you go; the solutions are staring you in the face!
30. Gaussian Elimination
1. Locate the first nonzero column. This is pivot column, and
the top row in this column is called a pivot position.
Transpose rows to make sure this position has a nonzero entry.
If you like, scale the row to make this position equal to one.
2. Use row operations to make all entries below the pivot
position zero.
3. Repeat Steps 1 and 2 on the submatrix below the first row
and to the right of the first column. Finally, you will arrive at
a matrix in row echelon form. (up to here is called the
forward pass)
4. Scale the bottom row to make the leading entry one.
5. Use row operations to make all entries above this entry zero.
6. Repeat Steps 4 and 5 on the submatrix formed above and to
the left of this entry. (These steps are called the backward
pass)
31.
32. So to solve a SLE:
Form the augmented matrix.
reduce this matrix to (R)REF.
read off the solution.
33. Meet the Mathematician
German
“the prince of
mathematicians”
Proved FTA four times
Invented least-squares
method
Predicted motion of
planets
Carl Friedrich Gauss
1777–1855
34. Questions
Suppose the matrix
0 3 −6 6 4 −5
3 −7 8 −5 8 9
3 −9 12 −9 6 15
is given as the augmented matrix to a system of linear equations.
How do we interpret the solution from the RREF?
35.
36.
37. Questions
Suppose the matrix
0 3 −6 6 4 −5
3 −7 8 −5 8 9
3 −9 12 −9 6 15
is given as the augmented matrix to a system of linear equations.
How do we interpret the solution from the RREF?
1 0 −2 3 0 −24
0 1 −2 2 0 −7
00 0 01 4
38. The system of linear equations is
− 2x3 + 3x4 = −24
x1
x2 − 2x3 + 2x4 = −7
x5 = 4
39. The system of linear equations is
− 2x3 + 3x4 = −24
x1
x2 − 2x3 + 2x4 = −7
x5 = 4
or
x1 = −24 + 2s − 3t
x2 = −7 + 2s − 2t
x3 = s
x4 = t
x5 = 4
Here s and t can be anything we want and we can construct a
solution out of them. x3 and x4 are known as free variables; they
can take any value.
40. The system of linear equations is
− 2x3 + 3x4 = −24
x1
x2 − 2x3 + 2x4 = −7
x5 = 4
or
x1 = −24 + 2s − 3t
x2 = −7 + 2s − 2t
x3 = s
x4 = t
x5 = 4
Here s and t can be anything we want and we can construct a
solution out of them. x3 and x4 are known as free variables; they
can take any value.
We see free variables in the RREF as the columns with no leading
entry.
41. Question
What if the RREF of the matrix were
1 0 −2 3 0 −24
0 1 −2 2 0 −7
00 0 00 1
What would be the solutions to the associated system now?
42. Question
What if the RREF of the matrix were
1 0 −2 3 0 −24
0 1 −2 2 0 −7
00 0 00 1
What would be the solutions to the associated system now?
Answer.
The bottom row represents the equation 0 = 1, which has no
solution. This system of equations is inconsistent.