SlideShare a Scribd company logo
1 of 14
[object Object],[object Object],[object Object],[object Object]
Solve linear programming problems.   Objective
optimization linear programming constraint feasible region New Vocabulary
Check It Out!  Example 1  Graph the feasible region for the following constraints.  (Hint:  Find the vertices) x  ≥ 0 y  ≥ 1.5  2.5 x  + 5 y  ≤ 20 3 x  + 2 y  ≤ 12
Yum’s Bakery bakes two breads,  A  and  B . One batch of  A  uses 5 pounds of oats and 3 pounds of flour. One batch of  B  uses 2 pounds of oats and 3 pounds of flour. The company has 180 pounds of oats and 135 pounds of flour available. Write the constraints for the problem and graph the feasible region. Example 1: Graphing a Feasible Region
Graph the feasible region.
The feasible region is a quadrilateral with vertices at (0, 0), (36, 0), (30, 15), and (0, 45). Check  A point in the feasible region, such as (10, 10), satisfies all of the constraints.  
Why would we want to find a feasible region? objective function:
 
 
Yum’s Bakery wants to maximize its profits from bread sales. One batch of  A  yields a profit of $40. One batch of  B  yields a profit of $30. Use the profit information and the data from Example 1 to find how many batches of each bread the bakery should bake. Example 2: Solving Linear Programming Problems
Example 2 Continued Step 1  Let  P  = the profit from the bread.  Write the objective function:  P  = 40 x  + 30 y   Step 2  Recall the constraints and the graph from Example 1. x  ≥ 0 y  ≥ 0  5 x  + 2 y  ≤ 180 3 x  + 3 y  ≤ 135
Example 2 Continued Step 3  Evaluate the objective function at the vertices of the feasible region. Yum’s Bakery should make 30 batches of bread  A  and 15 batches of bread  B  to maximize the amount of profit. ( x ,  y ) 40 x  + 30 y P($) (0, 0) 40(0) + 30(0) (0, 45) (30, 15) (36, 0)
Ticket out the Door Use your own words to define Vertex Principle of Linear Programming.

More Related Content

Viewers also liked

Gcec Slideshow Oct 09
Gcec Slideshow Oct 09Gcec Slideshow Oct 09
Gcec Slideshow Oct 09NCIIA
 
Temario de equipos trabajo final (1)
Temario de equipos trabajo final (1)Temario de equipos trabajo final (1)
Temario de equipos trabajo final (1)Colectivo Inteligente
 
Introductiontochaddexchange ppt
Introductiontochaddexchange pptIntroductiontochaddexchange ppt
Introductiontochaddexchange pptCHADD, Inc.
 
Addthis & Bookmark Button For Blogger Post
Addthis & Bookmark Button For Blogger PostAddthis & Bookmark Button For Blogger Post
Addthis & Bookmark Button For Blogger Postmalekakhatun
 
Historia dibujada de la arq occidental-cap 9
Historia dibujada de la arq occidental-cap 9Historia dibujada de la arq occidental-cap 9
Historia dibujada de la arq occidental-cap 9Colectivo Inteligente
 
Our digital future & world of work View from Estonia
Our digital future & world of work View from Estonia Our digital future & world of work View from Estonia
Our digital future & world of work View from Estonia Pogled kroz prozor
 
Frameworks and models of digital competence
Frameworks and models of digital competenceFrameworks and models of digital competence
Frameworks and models of digital competencePogled kroz prozor
 
What’s in it for education, training, youth and sport?
What’s in it for education, training, youth and sport?What’s in it for education, training, youth and sport?
What’s in it for education, training, youth and sport?Pogled kroz prozor
 

Viewers also liked (15)

Gcec Slideshow Oct 09
Gcec Slideshow Oct 09Gcec Slideshow Oct 09
Gcec Slideshow Oct 09
 
3.4 Pp
3.4 Pp3.4 Pp
3.4 Pp
 
Temario de equipos trabajo final (1)
Temario de equipos trabajo final (1)Temario de equipos trabajo final (1)
Temario de equipos trabajo final (1)
 
Introductiontochaddexchange ppt
Introductiontochaddexchange pptIntroductiontochaddexchange ppt
Introductiontochaddexchange ppt
 
3.4 Pp
3.4 Pp3.4 Pp
3.4 Pp
 
Media Documentary
Media DocumentaryMedia Documentary
Media Documentary
 
3.6 Day1
3.6 Day13.6 Day1
3.6 Day1
 
Paralegal Day 2009
Paralegal Day 2009Paralegal Day 2009
Paralegal Day 2009
 
Activity Streams
Activity StreamsActivity Streams
Activity Streams
 
Elliott Kitty Alex Presentation
Elliott Kitty Alex PresentationElliott Kitty Alex Presentation
Elliott Kitty Alex Presentation
 
Addthis & Bookmark Button For Blogger Post
Addthis & Bookmark Button For Blogger PostAddthis & Bookmark Button For Blogger Post
Addthis & Bookmark Button For Blogger Post
 
Historia dibujada de la arq occidental-cap 9
Historia dibujada de la arq occidental-cap 9Historia dibujada de la arq occidental-cap 9
Historia dibujada de la arq occidental-cap 9
 
Our digital future & world of work View from Estonia
Our digital future & world of work View from Estonia Our digital future & world of work View from Estonia
Our digital future & world of work View from Estonia
 
Frameworks and models of digital competence
Frameworks and models of digital competenceFrameworks and models of digital competence
Frameworks and models of digital competence
 
What’s in it for education, training, youth and sport?
What’s in it for education, training, youth and sport?What’s in it for education, training, youth and sport?
What’s in it for education, training, youth and sport?
 

Similar to 3.4 Pp

LPP Graphical.ppt
LPP Graphical.pptLPP Graphical.ppt
LPP Graphical.pptcutmolp
 
A geometrical approach in Linear Programming Problems
A geometrical approach in Linear Programming ProblemsA geometrical approach in Linear Programming Problems
A geometrical approach in Linear Programming ProblemsRaja Agrawal
 
introduction to Operation Research
introduction to Operation Research introduction to Operation Research
introduction to Operation Research amanyosama12
 
Terminado matematica ii
Terminado matematica iiTerminado matematica ii
Terminado matematica iiyonygerardo
 
Linear programming problems
Linear programming problemsLinear programming problems
Linear programming problemsHanna Elise
 
An Introduction to Linear Programming
An Introduction to Linear ProgrammingAn Introduction to Linear Programming
An Introduction to Linear ProgrammingMinh-Tri Pham
 
Alg II 3-4 Linear Programming
Alg II 3-4 Linear ProgrammingAlg II 3-4 Linear Programming
Alg II 3-4 Linear Programmingjtentinger
 
Alg II Unit 3-4-linear programingintro
Alg II Unit 3-4-linear programingintroAlg II Unit 3-4-linear programingintro
Alg II Unit 3-4-linear programingintrojtentinger
 
Duality in Linear Programming
Duality in Linear ProgrammingDuality in Linear Programming
Duality in Linear Programmingjyothimonc
 
boolean algebra and logic simplification
boolean algebra and logic simplificationboolean algebra and logic simplification
boolean algebra and logic simplificationUnsa Shakir
 
Mat540 quiz 3 100%
Mat540 quiz 3 100%Mat540 quiz 3 100%
Mat540 quiz 3 100%Army94sfc
 

Similar to 3.4 Pp (20)

LPP Graphical.ppt
LPP Graphical.pptLPP Graphical.ppt
LPP Graphical.ppt
 
Management Science
Management Science Management Science
Management Science
 
LINEAR PROGRAMING
LINEAR PROGRAMINGLINEAR PROGRAMING
LINEAR PROGRAMING
 
A geometrical approach in Linear Programming Problems
A geometrical approach in Linear Programming ProblemsA geometrical approach in Linear Programming Problems
A geometrical approach in Linear Programming Problems
 
introduction to Operation Research
introduction to Operation Research introduction to Operation Research
introduction to Operation Research
 
Lenier Equation
Lenier EquationLenier Equation
Lenier Equation
 
Terminado matematica ii
Terminado matematica iiTerminado matematica ii
Terminado matematica ii
 
Linear programming problems
Linear programming problemsLinear programming problems
Linear programming problems
 
An Introduction to Linear Programming
An Introduction to Linear ProgrammingAn Introduction to Linear Programming
An Introduction to Linear Programming
 
Linear programing problem
Linear programing problemLinear programing problem
Linear programing problem
 
Alg II 3-4 Linear Programming
Alg II 3-4 Linear ProgrammingAlg II 3-4 Linear Programming
Alg II 3-4 Linear Programming
 
Alg II Unit 3-4-linear programingintro
Alg II Unit 3-4-linear programingintroAlg II Unit 3-4-linear programingintro
Alg II Unit 3-4-linear programingintro
 
Flair furniture LPP problem
Flair furniture LPP problemFlair furniture LPP problem
Flair furniture LPP problem
 
Duality in Linear Programming
Duality in Linear ProgrammingDuality in Linear Programming
Duality in Linear Programming
 
Direct proportion
Direct proportionDirect proportion
Direct proportion
 
Operation research
Operation research Operation research
Operation research
 
Operations research
Operations researchOperations research
Operations research
 
Decision making
Decision makingDecision making
Decision making
 
boolean algebra and logic simplification
boolean algebra and logic simplificationboolean algebra and logic simplification
boolean algebra and logic simplification
 
Mat540 quiz 3 100%
Mat540 quiz 3 100%Mat540 quiz 3 100%
Mat540 quiz 3 100%
 

Recently uploaded

SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGSujit Pal
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 

Recently uploaded (20)

SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAG
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 

3.4 Pp

  • 1.
  • 2. Solve linear programming problems. Objective
  • 3. optimization linear programming constraint feasible region New Vocabulary
  • 4. Check It Out! Example 1 Graph the feasible region for the following constraints. (Hint: Find the vertices) x ≥ 0 y ≥ 1.5 2.5 x + 5 y ≤ 20 3 x + 2 y ≤ 12
  • 5. Yum’s Bakery bakes two breads, A and B . One batch of A uses 5 pounds of oats and 3 pounds of flour. One batch of B uses 2 pounds of oats and 3 pounds of flour. The company has 180 pounds of oats and 135 pounds of flour available. Write the constraints for the problem and graph the feasible region. Example 1: Graphing a Feasible Region
  • 7. The feasible region is a quadrilateral with vertices at (0, 0), (36, 0), (30, 15), and (0, 45). Check A point in the feasible region, such as (10, 10), satisfies all of the constraints. 
  • 8. Why would we want to find a feasible region? objective function:
  • 9.  
  • 10.  
  • 11. Yum’s Bakery wants to maximize its profits from bread sales. One batch of A yields a profit of $40. One batch of B yields a profit of $30. Use the profit information and the data from Example 1 to find how many batches of each bread the bakery should bake. Example 2: Solving Linear Programming Problems
  • 12. Example 2 Continued Step 1 Let P = the profit from the bread. Write the objective function: P = 40 x + 30 y Step 2 Recall the constraints and the graph from Example 1. x ≥ 0 y ≥ 0 5 x + 2 y ≤ 180 3 x + 3 y ≤ 135
  • 13. Example 2 Continued Step 3 Evaluate the objective function at the vertices of the feasible region. Yum’s Bakery should make 30 batches of bread A and 15 batches of bread B to maximize the amount of profit. ( x , y ) 40 x + 30 y P($) (0, 0) 40(0) + 30(0) (0, 45) (30, 15) (36, 0)
  • 14. Ticket out the Door Use your own words to define Vertex Principle of Linear Programming.

Editor's Notes

  1. We have been solving linear inequalities. i.e. Word Problem from homework. I see that there are many solutions, but what is the BEST one?
  2. Optimization: how to find the maximum or minimum of a quantity. Linear Programming: method of finding a maximum or minimum value (optimization) of a function given the constraints. Constraint : an INEQUALITY that restricts one of the variables Feasible Region : POSSIBLE SOLUTION
  3. Have students graph on whiteboards and hold up. Intercepts: (8, 0) (0, 4) (4, 0), (6, 0) ** Must be careful with shading
  4. Have students switch who has board and graph. DON’T FORGET TO COPY DOWN ALL IMPORTANT INFO FROM PROBLEM. Write inequalities on board.
  5. Intercepts: (0, 90) (36, 0) Intercepts: (0, 45) (45, 0)
  6. We need
  7. Objective Function: The objective function may have a minimum, a maximum, neither, or both depending on the feasible region. **Typically a linear equation ** What is being maximized or minimized
  8. Objective Function: The objective function may have a minimum, a maximum, neither, or both depending on the feasible region. **Typically a linear equation Why do you need the feasible region from Example 1 to solve the problem? Why do you think the vertices as well as points inside the feasible region can be used to evaluate the function? ** What is being maximized or minimized?
  9. Recall: What does the Vertex Principle tell us? Set up chart
  10. Call up students to fill in answers 0, 1350, 1650, 1440 WORKSHEET