-
The Art of Linear Programming
A visual-heavy introduction to Linear Programming including basic definitions, solution via the Simplex method, the principle of duality and Integer Linear Programming. #some3
More problems: https://slama.dev/youtube/linear-programming-in-python/
Made as my entry to SoME3: https://3blue1brown.substack.com/p/some3-begins
------------------
Timetable:
0:00 - Introduction
0:26 - Basics
3:44 - Simplex Method
11:47 - Duality
14:01 - Integer Linear Programming
17:31 - Conclusion
------------------
Source code: https://github.com/xiaoxiae/videos/tree/master/18-lopt/
Music (in the order it appears in the video):
► Cases to Rest by Blue Dot Sessions: https://app.sessions.blue/browse/track/139762
► Thannoid by Blue Dot Sessions: https://app.sessions.blue/browse/track/126782
► ZigZag Heart by ...
published: 04 Jul 2023
-
Linear Programming
This precalculus video tutorial provides a basic introduction into linear programming. It explains how to write the objective function and constraints of linear programming word problems. It discusses how to find all of the corner points including the point of intersection where you have to solve the system of linear inequalities. It discusses which region to shade and how to determine the maximum profit or sales produced by a company or business and how to determine the number of items that should be produced to maximize such profit or revenue. This video contains plenty of examples and practice problems on linear programming.
Systems of Equations - Video Lessons:
https://www.video-tutor.net/system-of-equations.html
published: 16 Feb 2018
-
Linear Programming (Optimization) 2 Examples Minimize & Maximize
Learn how to work with linear programming problems in this video math tutorial by Mario's Math Tutoring. We discuss what are: constraints, feasible region and the objective function. We go through 2 examples one involving finding the minimum for an unbounded region and the other a word problem example involving maximizing profit for a bounded region.
Related Videos to Help You Succeed!:
Another Linear Programming Video I did here:
https://youtu.be/reKV1lRn_uw
Take Your Learning to the Next Level with Me!:
Subscribe to the Channel
http://bit.ly/SubscribeToMyChannelHere
Get my Learn Algebra 2 Video Course (Preview 13 free video lessons & learn more)
https://mariosmathtutoring.teachable.com/p/algebra-2-video-course
Learn Algebra 1 Video Course
https://mariosmathtutoring.teachable.com/...
published: 04 May 2020
-
Intro to Linear Programming
This optimization technique is so cool!!
Get Maple Learn ►https://www.maplesoft.com/products/learn/?p=TC-9857
Get the free Maple Calculator for your phone►https://www.maplesoft.com/products/maplecalculator/download.aspx?p=TC-9857
Play around with the exact Maple Learn document I use in the video ►https://learn.maplesoft.com/#/?docId=5586126131167232&key=4B4CFF82514F4F57AC213F59E24CB275B7F3DB27B846486D9CDA0555BD8423CD
Play around with the Maple Learn document I use in the video ►https://learn.maplesoft.com/index.html#/?d=BKPFENAKGUBUOJKIFQGKANJJEQCILUMGLIESEUBRELCPBNDLLPDTBQNPIFERNFNGHJIPMGNHJOHJGTLMAIILKQOMHOLOCGISETMS
In this video we explore the idea of Linear Programming, which is an extremely powerful constrained optimization technique. It involves maximizing or minimizing a linear ...
published: 06 Apr 2021
-
Linear Programming 1: Maximization -Extreme/Corner Points (LP)
This video explains the components of a linear programming model and shows how to solve a basic linear programming problem using graphical method.
How to draw LP constraints: https://youtu.be/uie0QbQDrK4
LP Model Solved in this video:
Max 2X + 5Y
s.t.
X + 2Y ≤ 16
5X + 3Y ≤ 45
X, Y ≥ 0
Linear Programming 2: Graphical Solution - Minimization
https://youtu.be/pP0Qag694Go
Linear Programming 3: Graphical Solution – with negative coefficients
https://youtu.be/hNqLAwyhT-4
Linear Programming 4: Slack/Surplus, Binding Constraints, Standard Form
https://youtu.be/4hp0mJgzmgc
Linear Programming 5: Alternate solutions, Infeasibility, Unboundedness, & Redundancy
https://youtu.be/_eMA0LWsRQQ
published: 29 Jul 2015
-
Linear Programming - Introduction | Don't Memorise
🎯NEET 2024 Paper Solutions with NEET Answer Key: https://www.youtube.com/watch?v=fwXYZUBp4m0&list=PLmdFyQYShrjc4OSwBsTiCoyPgl0TJTgon&index=1
📅🆓NEET Rank & College Predictor 2024: https://infinitylearn.com/neet-rank-predictor?utm_source=YouTube&utm_medium=NEETYT&utm_campaign=LIVE How are optimization problems solved in mathematics? We can use Optimization techniques, and one such technique is called Linear Programming. Watch this video to know more...
To watch more High School Math videos, click here - https://bit.ly/HighSchoolMath_DMYT
Don’t Memorise brings learning to life through its captivating educational videos. To Know More, visit https://InfinityLearn.com
New videos every week. To stay updated, subscribe to our YouTube channel : http://bit.ly/DontMemoriseYouTube
Register on our...
published: 10 Oct 2018
-
What is Linear Programming (LP)? (in 2 minutes)
Overview of Linear Programming in 2 minutes.
----------------------
Additional Information on the distinction between "Polynomial" vs "Strongly Polynomial" algorithms:
An algorithm for solving LPs of the form
max c^t x s.t. Ax \le b
runs in polynomial time if its running time can be bounded by a polynomial D^r, where "r" is some integer, and D is the bit-size of the data of the problem, or in other words, D is the amount of memory that it takes to store the matrix A and the vectors b and c. On the other hand, an algorithm runs in strongly polynomial time if its running time can be bounded by a polynomial n^r m^s, where "r" and "s" are integers, "n" is the number of variables and "m" is the number of constraints.
The distinction is subtle, but is an important one. Essentially, a polynom...
published: 12 Nov 2021
-
15. Linear Programming: LP, reductions, Simplex
MIT 6.046J Design and Analysis of Algorithms, Spring 2015
View the complete course: http://ocw.mit.edu/6-046JS15
Instructor: Srinivas Devadas
In this lecture, Professor Devadas introduces linear programming.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
published: 04 Mar 2016
-
Ex 12.1 Q6 To Q10 || Linear Programming || Chapter 12 Class 12 Board Exam 2025 NCERT
Chapter 12 Linear Programming Class12
Introduction Of Linear Programming | Chapter 12 Class 12 Math |
Chapter 12 Class12 Introduction
Introduction Of Chapter 12 Class 12 Math
Class 12 Math Chapter12 Introduction
#LinearProgramming
#LinearProgrammingclass12
Ex 12.1 Q7,Q8,Q9,Q10
inear Programming Problems in One Shot! | Complete Chapter 12 for Class 12 Maths Boards 2025 ExamS
Prepare for Boards 2025 with this one-shot video on Chapter 12: Linear Programming. Includes theory and solved questions for Class 12 Maths. Watch now to ace your exam!
LPP Class 12 Maths,
Linear Programming Class 12,
Linear Programming Problems,
Chapter 12 Linear Programming,
Linear Programming in one shot,
Class 12 Maths Chapter 12,
Maths Boards 2025,
Linear Programming Theory and Questions,
Linear Programming for B...
published: 10 Jan 2025
-
Linear programming (Full Topic) simplified
published: 11 Feb 2022
18:56
The Art of Linear Programming
A visual-heavy introduction to Linear Programming including basic definitions, solution via the Simplex method, the principle of duality and Integer Linear Prog...
A visual-heavy introduction to Linear Programming including basic definitions, solution via the Simplex method, the principle of duality and Integer Linear Programming. #some3
More problems: https://slama.dev/youtube/linear-programming-in-python/
Made as my entry to SoME3: https://3blue1brown.substack.com/p/some3-begins
------------------
Timetable:
0:00 - Introduction
0:26 - Basics
3:44 - Simplex Method
11:47 - Duality
14:01 - Integer Linear Programming
17:31 - Conclusion
------------------
Source code: https://github.com/xiaoxiae/videos/tree/master/18-lopt/
Music (in the order it appears in the video):
► Cases to Rest by Blue Dot Sessions: https://app.sessions.blue/browse/track/139762
► Thannoid by Blue Dot Sessions: https://app.sessions.blue/browse/track/126782
► ZigZag Heart by Blue Dot Sessions: https://app.sessions.blue/browse/track/31462
► Maisie Dreamer by Blue Dot Sessions: https://app.sessions.blue/browse/track/31458
► Night Light by Blue Dot Sessions: https://app.sessions.blue/browse/track/189819
Software used:
► Manim (animation software): https://github.com/ManimCommunity/manim/
► Kdenlive (video cutting): https://kdenlive.org/en/
► ffmpeg (audio/video processing): https://ffmpeg.org/
► OBS (audio/video recording): https://obsproject.com/download
► arecord (audio recording): https://linux.die.net/man/1/arecord
► sox (audio processing): http://sox.sourceforge.net/
► Inkscape (vector image editing): https://inkscape.org/
► Midjourney (image generation): https://www.midjourney.com/app/
Social media:
► Website (for other things I'm up to): https://slama.dev/
► Patreon (if you'd like to support me): https://www.patreon.com/YTomS
Thanks to Matěj Kripner, Martin Balko, Lucia Zhang, Václav Rozhoň (@polylog), Kateřina Sulková, Mohit Shrestha, Teo Tuicu and Tomáš Sláma (my dad, not me) for valuable feedback.
------------------
[EN] Gerard Sierksma; Yori Zwols (2015). Linear and Integer Optimization: Theory and Practice
https://www.taylorfrancis.com/books/mono/10.1201/b18378/linear-integer-optimization-gerard-sierksma-gerard-sierksma-yori-zwols
[CZ] Přednáška Jiřího Sgalla: Lineární programování a kombinatorická optimalizace
https://iuuk.mff.cuni.cz/~sgall/vyuka/LP/
[EN] George B. Dantzig (1982): Reminiscences about the origins of linear programming
https://apps.dtic.mil/sti/pdfs/ADA112060.pdf
https://wn.com/The_Art_Of_Linear_Programming
A visual-heavy introduction to Linear Programming including basic definitions, solution via the Simplex method, the principle of duality and Integer Linear Programming. #some3
More problems: https://slama.dev/youtube/linear-programming-in-python/
Made as my entry to SoME3: https://3blue1brown.substack.com/p/some3-begins
------------------
Timetable:
0:00 - Introduction
0:26 - Basics
3:44 - Simplex Method
11:47 - Duality
14:01 - Integer Linear Programming
17:31 - Conclusion
------------------
Source code: https://github.com/xiaoxiae/videos/tree/master/18-lopt/
Music (in the order it appears in the video):
► Cases to Rest by Blue Dot Sessions: https://app.sessions.blue/browse/track/139762
► Thannoid by Blue Dot Sessions: https://app.sessions.blue/browse/track/126782
► ZigZag Heart by Blue Dot Sessions: https://app.sessions.blue/browse/track/31462
► Maisie Dreamer by Blue Dot Sessions: https://app.sessions.blue/browse/track/31458
► Night Light by Blue Dot Sessions: https://app.sessions.blue/browse/track/189819
Software used:
► Manim (animation software): https://github.com/ManimCommunity/manim/
► Kdenlive (video cutting): https://kdenlive.org/en/
► ffmpeg (audio/video processing): https://ffmpeg.org/
► OBS (audio/video recording): https://obsproject.com/download
► arecord (audio recording): https://linux.die.net/man/1/arecord
► sox (audio processing): http://sox.sourceforge.net/
► Inkscape (vector image editing): https://inkscape.org/
► Midjourney (image generation): https://www.midjourney.com/app/
Social media:
► Website (for other things I'm up to): https://slama.dev/
► Patreon (if you'd like to support me): https://www.patreon.com/YTomS
Thanks to Matěj Kripner, Martin Balko, Lucia Zhang, Václav Rozhoň (@polylog), Kateřina Sulková, Mohit Shrestha, Teo Tuicu and Tomáš Sláma (my dad, not me) for valuable feedback.
------------------
[EN] Gerard Sierksma; Yori Zwols (2015). Linear and Integer Optimization: Theory and Practice
https://www.taylorfrancis.com/books/mono/10.1201/b18378/linear-integer-optimization-gerard-sierksma-gerard-sierksma-yori-zwols
[CZ] Přednáška Jiřího Sgalla: Lineární programování a kombinatorická optimalizace
https://iuuk.mff.cuni.cz/~sgall/vyuka/LP/
[EN] George B. Dantzig (1982): Reminiscences about the origins of linear programming
https://apps.dtic.mil/sti/pdfs/ADA112060.pdf
- published: 04 Jul 2023
- views: 716529
33:20
Linear Programming
This precalculus video tutorial provides a basic introduction into linear programming. It explains how to write the objective function and constraints of linea...
This precalculus video tutorial provides a basic introduction into linear programming. It explains how to write the objective function and constraints of linear programming word problems. It discusses how to find all of the corner points including the point of intersection where you have to solve the system of linear inequalities. It discusses which region to shade and how to determine the maximum profit or sales produced by a company or business and how to determine the number of items that should be produced to maximize such profit or revenue. This video contains plenty of examples and practice problems on linear programming.
Systems of Equations - Video Lessons:
https://www.video-tutor.net/system-of-equations.html
https://wn.com/Linear_Programming
This precalculus video tutorial provides a basic introduction into linear programming. It explains how to write the objective function and constraints of linear programming word problems. It discusses how to find all of the corner points including the point of intersection where you have to solve the system of linear inequalities. It discusses which region to shade and how to determine the maximum profit or sales produced by a company or business and how to determine the number of items that should be produced to maximize such profit or revenue. This video contains plenty of examples and practice problems on linear programming.
Systems of Equations - Video Lessons:
https://www.video-tutor.net/system-of-equations.html
- published: 16 Feb 2018
- views: 1163367
15:08
Linear Programming (Optimization) 2 Examples Minimize & Maximize
Learn how to work with linear programming problems in this video math tutorial by Mario's Math Tutoring. We discuss what are: constraints, feasible region and ...
Learn how to work with linear programming problems in this video math tutorial by Mario's Math Tutoring. We discuss what are: constraints, feasible region and the objective function. We go through 2 examples one involving finding the minimum for an unbounded region and the other a word problem example involving maximizing profit for a bounded region.
Related Videos to Help You Succeed!:
Another Linear Programming Video I did here:
https://youtu.be/reKV1lRn_uw
Take Your Learning to the Next Level with Me!:
Subscribe to the Channel
http://bit.ly/SubscribeToMyChannelHere
Get my Learn Algebra 2 Video Course (Preview 13 free video lessons & learn more)
https://mariosmathtutoring.teachable.com/p/algebra-2-video-course
Learn Algebra 1 Video Course
https://mariosmathtutoring.teachable.com/p/learn-algebra-1-video-course
Looking to raise your math score on the ACT and new SAT?
Check out my Huge ACT Math Video Course and my Huge SAT Math Video Course for sale at
https://mariosmathtutoring.teachable.com
* Organized List of My Video Lessons to Help You Raise Your Scores & Pass Your Class. Videos Arranged by Math Subject as well as by Chapter/Topic. (Bookmark the Link Below)
https://www.mariosmathtutoring.com/free-math-videos.html
Support Mario on Patreon here: https://www.patreon.com/mariosmathtutoring
https://wn.com/Linear_Programming_(Optimization)_2_Examples_Minimize_Maximize
Learn how to work with linear programming problems in this video math tutorial by Mario's Math Tutoring. We discuss what are: constraints, feasible region and the objective function. We go through 2 examples one involving finding the minimum for an unbounded region and the other a word problem example involving maximizing profit for a bounded region.
Related Videos to Help You Succeed!:
Another Linear Programming Video I did here:
https://youtu.be/reKV1lRn_uw
Take Your Learning to the Next Level with Me!:
Subscribe to the Channel
http://bit.ly/SubscribeToMyChannelHere
Get my Learn Algebra 2 Video Course (Preview 13 free video lessons & learn more)
https://mariosmathtutoring.teachable.com/p/algebra-2-video-course
Learn Algebra 1 Video Course
https://mariosmathtutoring.teachable.com/p/learn-algebra-1-video-course
Looking to raise your math score on the ACT and new SAT?
Check out my Huge ACT Math Video Course and my Huge SAT Math Video Course for sale at
https://mariosmathtutoring.teachable.com
* Organized List of My Video Lessons to Help You Raise Your Scores & Pass Your Class. Videos Arranged by Math Subject as well as by Chapter/Topic. (Bookmark the Link Below)
https://www.mariosmathtutoring.com/free-math-videos.html
Support Mario on Patreon here: https://www.patreon.com/mariosmathtutoring
- published: 04 May 2020
- views: 611565
14:23
Intro to Linear Programming
This optimization technique is so cool!!
Get Maple Learn ►https://www.maplesoft.com/products/learn/?p=TC-9857
Get the free Maple Calculator for your phone►http...
This optimization technique is so cool!!
Get Maple Learn ►https://www.maplesoft.com/products/learn/?p=TC-9857
Get the free Maple Calculator for your phone►https://www.maplesoft.com/products/maplecalculator/download.aspx?p=TC-9857
Play around with the exact Maple Learn document I use in the video ►https://learn.maplesoft.com/#/?docId=5586126131167232&key=4B4CFF82514F4F57AC213F59E24CB275B7F3DB27B846486D9CDA0555BD8423CD
Play around with the Maple Learn document I use in the video ►https://learn.maplesoft.com/index.html#/?d=BKPFENAKGUBUOJKIFQGKANJJEQCILUMGLIESEUBRELCPBNDLLPDTBQNPIFERNFNGHJIPMGNHJOHJGTLMAIILKQOMHOLOCGISETMS
In this video we explore the idea of Linear Programming, which is an extremely powerful constrained optimization technique. It involves maximizing or minimizing a linear function with constraints a list of linear inequalities. The feasible region is all points satisfying those inequalities, and the big question is which points in the feasible region (which looks like a polygon) give the optimum values? The big idea of linear programming is that the optimal values occur at the vertices, that is where the iso-value line first touches the polygon.
0:00 Linear Programming
1:31 The Carpenter Problem
4:20 Graphing Inequalities with Maple Learn
5:45 Feasible Region
8:29 Computing the Maximum
10:36 Iso-value lines
13:15 The Big Idea
MY DIFFERENTIAL EQUATIONS PLAYLIST: ►https://www.youtube.com/playlist?list=PLHXZ9OQGMqxde-SlgmWlCmNHroIWtujBw
Open Source (i.e free) ODE Textbook: ►http://web.uvic.ca/~tbazett/diffyqs
OTHER COURSE PLAYLISTS:
►DISCRETE MATH: https://www.youtube.com/playlist?list=PLHXZ9OQGMqxersk8fUxiUMSIx0DBqsKZS
►LINEAR ALGEBRA: https://www.youtube.com/playlist?list=PLHXZ9OQGMqxfUl0tcqPNTJsb7R6BqSLo6
►CALCULUS I: https://www.youtube.com/playlist?list=PLHXZ9OQGMqxfT9RMcReZ4WcoVILP4k6-m
► CALCULUS II: https://www.youtube.com/playlist?list=PLHXZ9OQGMqxc4ySKTIW19TLrT91Ik9M4n
►MULTIVARIABLE CALCULUS (Calc III): https://www.youtube.com/playlist?list=PLHXZ9OQGMqxc_CvEy7xBKRQr6I214QJcd
►VECTOR CALCULUS (Calc IV) https://www.youtube.com/playlist?list=PLHXZ9OQGMqxfW0GMqeUE1bLKaYor6kbHa
►LAPLACE TRANSFORM: https://www.youtube.com/watch?v=xeeM3TT4Zgg&list=PLHXZ9OQGMqxcJXnLr08cyNaup4RDsbAl1
OTHER PLAYLISTS:
► Learning Math Series
https://www.youtube.com/watch?v=LPH2lqis3D0&list=PLHXZ9OQGMqxfSkRtlL5KPq6JqMNTh_MBw
►Cool Math Series:
https://www.youtube.com/playlist?list=PLHXZ9OQGMqxelE_9RzwJ-cqfUtaFBpiho
BECOME A MEMBER:
►Join: https://www.youtube.com/channel/UC9rTsvTxJnx1DNrDA3Rqa6A/join
MATH BOOKS & MERCH I LOVE:
► My Amazon Affiliate Shop: https://www.amazon.com/shop/treforbazett
SOCIALS:
►Twitter (math based): http://twitter.com/treforbazett
►Instagram (photography based): http://instagram.com/treforphotography
https://wn.com/Intro_To_Linear_Programming
This optimization technique is so cool!!
Get Maple Learn ►https://www.maplesoft.com/products/learn/?p=TC-9857
Get the free Maple Calculator for your phone►https://www.maplesoft.com/products/maplecalculator/download.aspx?p=TC-9857
Play around with the exact Maple Learn document I use in the video ►https://learn.maplesoft.com/#/?docId=5586126131167232&key=4B4CFF82514F4F57AC213F59E24CB275B7F3DB27B846486D9CDA0555BD8423CD
Play around with the Maple Learn document I use in the video ►https://learn.maplesoft.com/index.html#/?d=BKPFENAKGUBUOJKIFQGKANJJEQCILUMGLIESEUBRELCPBNDLLPDTBQNPIFERNFNGHJIPMGNHJOHJGTLMAIILKQOMHOLOCGISETMS
In this video we explore the idea of Linear Programming, which is an extremely powerful constrained optimization technique. It involves maximizing or minimizing a linear function with constraints a list of linear inequalities. The feasible region is all points satisfying those inequalities, and the big question is which points in the feasible region (which looks like a polygon) give the optimum values? The big idea of linear programming is that the optimal values occur at the vertices, that is where the iso-value line first touches the polygon.
0:00 Linear Programming
1:31 The Carpenter Problem
4:20 Graphing Inequalities with Maple Learn
5:45 Feasible Region
8:29 Computing the Maximum
10:36 Iso-value lines
13:15 The Big Idea
MY DIFFERENTIAL EQUATIONS PLAYLIST: ►https://www.youtube.com/playlist?list=PLHXZ9OQGMqxde-SlgmWlCmNHroIWtujBw
Open Source (i.e free) ODE Textbook: ►http://web.uvic.ca/~tbazett/diffyqs
OTHER COURSE PLAYLISTS:
►DISCRETE MATH: https://www.youtube.com/playlist?list=PLHXZ9OQGMqxersk8fUxiUMSIx0DBqsKZS
►LINEAR ALGEBRA: https://www.youtube.com/playlist?list=PLHXZ9OQGMqxfUl0tcqPNTJsb7R6BqSLo6
►CALCULUS I: https://www.youtube.com/playlist?list=PLHXZ9OQGMqxfT9RMcReZ4WcoVILP4k6-m
► CALCULUS II: https://www.youtube.com/playlist?list=PLHXZ9OQGMqxc4ySKTIW19TLrT91Ik9M4n
►MULTIVARIABLE CALCULUS (Calc III): https://www.youtube.com/playlist?list=PLHXZ9OQGMqxc_CvEy7xBKRQr6I214QJcd
►VECTOR CALCULUS (Calc IV) https://www.youtube.com/playlist?list=PLHXZ9OQGMqxfW0GMqeUE1bLKaYor6kbHa
►LAPLACE TRANSFORM: https://www.youtube.com/watch?v=xeeM3TT4Zgg&list=PLHXZ9OQGMqxcJXnLr08cyNaup4RDsbAl1
OTHER PLAYLISTS:
► Learning Math Series
https://www.youtube.com/watch?v=LPH2lqis3D0&list=PLHXZ9OQGMqxfSkRtlL5KPq6JqMNTh_MBw
►Cool Math Series:
https://www.youtube.com/playlist?list=PLHXZ9OQGMqxelE_9RzwJ-cqfUtaFBpiho
BECOME A MEMBER:
►Join: https://www.youtube.com/channel/UC9rTsvTxJnx1DNrDA3Rqa6A/join
MATH BOOKS & MERCH I LOVE:
► My Amazon Affiliate Shop: https://www.amazon.com/shop/treforbazett
SOCIALS:
►Twitter (math based): http://twitter.com/treforbazett
►Instagram (photography based): http://instagram.com/treforphotography
- published: 06 Apr 2021
- views: 210321
5:43
Linear Programming 1: Maximization -Extreme/Corner Points (LP)
This video explains the components of a linear programming model and shows how to solve a basic linear programming problem using graphical method.
How to draw...
This video explains the components of a linear programming model and shows how to solve a basic linear programming problem using graphical method.
How to draw LP constraints: https://youtu.be/uie0QbQDrK4
LP Model Solved in this video:
Max 2X + 5Y
s.t.
X + 2Y ≤ 16
5X + 3Y ≤ 45
X, Y ≥ 0
Linear Programming 2: Graphical Solution - Minimization
https://youtu.be/pP0Qag694Go
Linear Programming 3: Graphical Solution – with negative coefficients
https://youtu.be/hNqLAwyhT-4
Linear Programming 4: Slack/Surplus, Binding Constraints, Standard Form
https://youtu.be/4hp0mJgzmgc
Linear Programming 5: Alternate solutions, Infeasibility, Unboundedness, & Redundancy
https://youtu.be/_eMA0LWsRQQ
https://wn.com/Linear_Programming_1_Maximization_Extreme_Corner_Points_(Lp)
This video explains the components of a linear programming model and shows how to solve a basic linear programming problem using graphical method.
How to draw LP constraints: https://youtu.be/uie0QbQDrK4
LP Model Solved in this video:
Max 2X + 5Y
s.t.
X + 2Y ≤ 16
5X + 3Y ≤ 45
X, Y ≥ 0
Linear Programming 2: Graphical Solution - Minimization
https://youtu.be/pP0Qag694Go
Linear Programming 3: Graphical Solution – with negative coefficients
https://youtu.be/hNqLAwyhT-4
Linear Programming 4: Slack/Surplus, Binding Constraints, Standard Form
https://youtu.be/4hp0mJgzmgc
Linear Programming 5: Alternate solutions, Infeasibility, Unboundedness, & Redundancy
https://youtu.be/_eMA0LWsRQQ
- published: 29 Jul 2015
- views: 1032309
3:49
Linear Programming - Introduction | Don't Memorise
🎯NEET 2024 Paper Solutions with NEET Answer Key: https://www.youtube.com/watch?v=fwXYZUBp4m0&list=PLmdFyQYShrjc4OSwBsTiCoyPgl0TJTgon&index=1
📅🆓NEET Rank & Colle...
🎯NEET 2024 Paper Solutions with NEET Answer Key: https://www.youtube.com/watch?v=fwXYZUBp4m0&list=PLmdFyQYShrjc4OSwBsTiCoyPgl0TJTgon&index=1
📅🆓NEET Rank & College Predictor 2024: https://infinitylearn.com/neet-rank-predictor?utm_source=YouTube&utm_medium=NEETYT&utm_campaign=LIVE How are optimization problems solved in mathematics? We can use Optimization techniques, and one such technique is called Linear Programming. Watch this video to know more...
To watch more High School Math videos, click here - https://bit.ly/HighSchoolMath_DMYT
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📅🆓NEET Rank & College Predictor 2024: https://infinitylearn.com/neet-rank-predictor?utm_source=YouTube&utm_medium=NEETYT&utm_campaign=LIVE How are optimization problems solved in mathematics? We can use Optimization techniques, and one such technique is called Linear Programming. Watch this video to know more...
To watch more High School Math videos, click here - https://bit.ly/HighSchoolMath_DMYT
Don’t Memorise brings learning to life through its captivating educational videos. To Know More, visit https://InfinityLearn.com
New videos every week. To stay updated, subscribe to our YouTube channel : http://bit.ly/DontMemoriseYouTube
Register on our website to gain access to all videos and quizzes:
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- published: 10 Oct 2018
- views: 351862
2:37
What is Linear Programming (LP)? (in 2 minutes)
Overview of Linear Programming in 2 minutes.
----------------------
Additional Information on the distinction between "Polynomial" vs "Strongly Polynomial" alg...
Overview of Linear Programming in 2 minutes.
----------------------
Additional Information on the distinction between "Polynomial" vs "Strongly Polynomial" algorithms:
An algorithm for solving LPs of the form
max c^t x s.t. Ax \le b
runs in polynomial time if its running time can be bounded by a polynomial D^r, where "r" is some integer, and D is the bit-size of the data of the problem, or in other words, D is the amount of memory that it takes to store the matrix A and the vectors b and c. On the other hand, an algorithm runs in strongly polynomial time if its running time can be bounded by a polynomial n^r m^s, where "r" and "s" are integers, "n" is the number of variables and "m" is the number of constraints.
The distinction is subtle, but is an important one. Essentially, a polynomial time algorithm is allowed to take more time as the size of the coefficients of A grows (while keeping the dimensions of A constant), but a strongly polynomial time algorithm is not.
(I glossed over some details here. For example in the definition of strong polynomial time algorithms, we assume that the basic arithmetic operations take a constant time no matter the size of the operands.)
The interior point method is a polynomial time algorithm, but not a strongly polynomial time one (e.g., https://arxiv.org/abs/1708.01544).
----------------------
Typos:
- "Schedueling" should be "Scheduling"
--------------
Timestamps:
- 0:00 Motivating Example
- 0:39 Definition
- 1:07 Applications
- 1:42 Code
- 2:00 Open Problems
---------------
Credit:
🐍 Manim and Python : https://github.com/3b1b/manim
🐵 Blender3D: https://www.blender.org/
🗒️ Emacs: https://www.gnu.org/software/emacs/
Music/Sound: www.bensound.com, Zapsplat.com
This video would not have been possible without the help of Gökçe Dayanıklı.
https://wn.com/What_Is_Linear_Programming_(Lp)_(In_2_Minutes)
Overview of Linear Programming in 2 minutes.
----------------------
Additional Information on the distinction between "Polynomial" vs "Strongly Polynomial" algorithms:
An algorithm for solving LPs of the form
max c^t x s.t. Ax \le b
runs in polynomial time if its running time can be bounded by a polynomial D^r, where "r" is some integer, and D is the bit-size of the data of the problem, or in other words, D is the amount of memory that it takes to store the matrix A and the vectors b and c. On the other hand, an algorithm runs in strongly polynomial time if its running time can be bounded by a polynomial n^r m^s, where "r" and "s" are integers, "n" is the number of variables and "m" is the number of constraints.
The distinction is subtle, but is an important one. Essentially, a polynomial time algorithm is allowed to take more time as the size of the coefficients of A grows (while keeping the dimensions of A constant), but a strongly polynomial time algorithm is not.
(I glossed over some details here. For example in the definition of strong polynomial time algorithms, we assume that the basic arithmetic operations take a constant time no matter the size of the operands.)
The interior point method is a polynomial time algorithm, but not a strongly polynomial time one (e.g., https://arxiv.org/abs/1708.01544).
----------------------
Typos:
- "Schedueling" should be "Scheduling"
--------------
Timestamps:
- 0:00 Motivating Example
- 0:39 Definition
- 1:07 Applications
- 1:42 Code
- 2:00 Open Problems
---------------
Credit:
🐍 Manim and Python : https://github.com/3b1b/manim
🐵 Blender3D: https://www.blender.org/
🗒️ Emacs: https://www.gnu.org/software/emacs/
Music/Sound: www.bensound.com, Zapsplat.com
This video would not have been possible without the help of Gökçe Dayanıklı.
- published: 12 Nov 2021
- views: 19910
1:22:27
15. Linear Programming: LP, reductions, Simplex
MIT 6.046J Design and Analysis of Algorithms, Spring 2015
View the complete course: http://ocw.mit.edu/6-046JS15
Instructor: Srinivas Devadas
In this lecture, ...
MIT 6.046J Design and Analysis of Algorithms, Spring 2015
View the complete course: http://ocw.mit.edu/6-046JS15
Instructor: Srinivas Devadas
In this lecture, Professor Devadas introduces linear programming.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
https://wn.com/15._Linear_Programming_Lp,_Reductions,_Simplex
MIT 6.046J Design and Analysis of Algorithms, Spring 2015
View the complete course: http://ocw.mit.edu/6-046JS15
Instructor: Srinivas Devadas
In this lecture, Professor Devadas introduces linear programming.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
- published: 04 Mar 2016
- views: 204812
31:28
Ex 12.1 Q6 To Q10 || Linear Programming || Chapter 12 Class 12 Board Exam 2025 NCERT
Chapter 12 Linear Programming Class12
Introduction Of Linear Programming | Chapter 12 Class 12 Math |
Chapter 12 Class12 Introduction
Introduction Of Chapter 1...
Chapter 12 Linear Programming Class12
Introduction Of Linear Programming | Chapter 12 Class 12 Math |
Chapter 12 Class12 Introduction
Introduction Of Chapter 12 Class 12 Math
Class 12 Math Chapter12 Introduction
#LinearProgramming
#LinearProgrammingclass12
Ex 12.1 Q7,Q8,Q9,Q10
inear Programming Problems in One Shot! | Complete Chapter 12 for Class 12 Maths Boards 2025 ExamS
Prepare for Boards 2025 with this one-shot video on Chapter 12: Linear Programming. Includes theory and solved questions for Class 12 Maths. Watch now to ace your exam!
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रैखिक प्रोग्रामन ( Linear Programming Problem )
इस वीडियो में, हम रैखिक प्रोग्रामन (Linear Programming) के सिद्धांतों और तकनीकों के बारे में विस्तार से समझेंगे। रैखिक प्रोग्रामन एक गणितीय विधि है जिसका उपयोग किसी भी उद्देश्य को अधिकतम या न्यूनतम करने के लिए किया जाता है, जबकि कुछ सीमाएँ या बाधाएँ (constraints) दी गई होती हैं। यह विशेष रूप से आर्थिक, औद्योगिक और प्रबंधन समस्याओं को हल करने में उपयोगी है।
वीडियो के प्रमुख बिंदु:
रैखिक प्रोग्रामन क्या है?
रैखिक प्रोग्रामन के मूल सिद्धांत और उद्देश्य।
वेरिएबल्स, उद्देश्य कार्य (Objective Function) और सीमाएँ (Constraints)।
रैखिक समीकरण और असमानताएँ
रैखिक समीकरणों और असमानताओं का परिचय और उनका उपयोग कैसे किया जाता है।
ग्राफिकल विधि (Graphical Method)
सरल समस्याओं के लिए ग्राफिकल विधि का उपयोग करके समाधान खोजना।
सीमा रेखाएँ (Constraint Lines) और feasible region की पहचान करना।
सIMPLEX विधि
जब ग्राफिकल विधि का उपयोग संभव नहीं हो, तो SIMPLEX विधि का उपयोग कैसे किया जाता है।
रैखिक प्रोग्रामन के अनुप्रयोग
रैखिक प्रोग्रामन का व्यावसायिक, औद्योगिक, और आर्थिक समस्याओं में उपयोग।
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प्रश्नवाली-12, रैखिक प्रोगामन | One Shot Revision | Linear Programming | Class-12th Maths | कक्षा-12
https://wn.com/Ex_12.1_Q6_To_Q10_||_Linear_Programming_||_Chapter_12_Class_12_Board_Exam_2025_Ncert
Chapter 12 Linear Programming Class12
Introduction Of Linear Programming | Chapter 12 Class 12 Math |
Chapter 12 Class12 Introduction
Introduction Of Chapter 12 Class 12 Math
Class 12 Math Chapter12 Introduction
#LinearProgramming
#LinearProgrammingclass12
Ex 12.1 Q7,Q8,Q9,Q10
inear Programming Problems in One Shot! | Complete Chapter 12 for Class 12 Maths Boards 2025 ExamS
Prepare for Boards 2025 with this one-shot video on Chapter 12: Linear Programming. Includes theory and solved questions for Class 12 Maths. Watch now to ace your exam!
LPP Class 12 Maths,
Linear Programming Class 12,
Linear Programming Problems,
Chapter 12 Linear Programming,
Linear Programming in one shot,
Class 12 Maths Chapter 12,
Maths Boards 2025,
Linear Programming Theory and Questions,
Linear Programming for Boards,
CBSE Class 12 Maths,
Linear Programming Problems Class 12 Solutions,
Class 12 Maths Exam Preparation,
Boards 2025 Maths,
रैखिक प्रोग्रामन ( Linear Programming Problem )
इस वीडियो में, हम रैखिक प्रोग्रामन (Linear Programming) के सिद्धांतों और तकनीकों के बारे में विस्तार से समझेंगे। रैखिक प्रोग्रामन एक गणितीय विधि है जिसका उपयोग किसी भी उद्देश्य को अधिकतम या न्यूनतम करने के लिए किया जाता है, जबकि कुछ सीमाएँ या बाधाएँ (constraints) दी गई होती हैं। यह विशेष रूप से आर्थिक, औद्योगिक और प्रबंधन समस्याओं को हल करने में उपयोगी है।
वीडियो के प्रमुख बिंदु:
रैखिक प्रोग्रामन क्या है?
रैखिक प्रोग्रामन के मूल सिद्धांत और उद्देश्य।
वेरिएबल्स, उद्देश्य कार्य (Objective Function) और सीमाएँ (Constraints)।
रैखिक समीकरण और असमानताएँ
रैखिक समीकरणों और असमानताओं का परिचय और उनका उपयोग कैसे किया जाता है।
ग्राफिकल विधि (Graphical Method)
सरल समस्याओं के लिए ग्राफिकल विधि का उपयोग करके समाधान खोजना।
सीमा रेखाएँ (Constraint Lines) और feasible region की पहचान करना।
सIMPLEX विधि
जब ग्राफिकल विधि का उपयोग संभव नहीं हो, तो SIMPLEX विधि का उपयोग कैसे किया जाता है।
रैखिक प्रोग्रामन के अनुप्रयोग
रैखिक प्रोग्रामन का व्यावसायिक, औद्योगिक, और आर्थिक समस्याओं में उपयोग।
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प्रश्नवाली-12, रैखिक प्रोगामन | One Shot Revision | Linear Programming | Class-12th Maths | कक्षा-12
- published: 10 Jan 2025
- views: 134