Linear Programming Graphical Method & Sensitivity Analysis

Free download скачать Linear Programming Graphical Method & Sensitivity Analysis
Published 8/2026
Created by Salman Sagheer Warsi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 46 Lectures ( 6h 54m ) | Size: 3 GB

Step-by-step graphical method, sensitivity analysis & Excel Solver - with worked examples, quizzes and worksheets
[h2]What you'll learn[/h2]
⚡ Identify and formulate Linear Programming problems and understand where the graphical method fits as a solution approach
⚡ Solve LP maximization problems confidently using the graphical method - from plotting constraints to finding the optimal solution
⚡ Perform sensitivity analysis on objective function coefficients and RHS values - find sensitivity ranges graphically with confidence.
⚡ Interpret shadow price, reduced cost, and binding constraints correctly - then verify your graphical results using Excel Solver.
⚡ Spot and fix the mistakes that cost students marks in graphical LP problems
⚡ Apply the graphical method, sensitivity analysis, and Excel Solver to a complete real-world Product Mix Optimization problem
⚡ Solve LP minimization problems graphically and apply sensitivity analysis with the same confidence as maximization
⚡ Walk into your LP exam ready - with worked examples covering real exam-style word problems
[h2]Requirements[/h2]
❗ No prior knowledge of Linear Programming or Operations Research required
❗ No specialist software needed - Excel (any version) is sufficient for the Excel sections; all graphical work is done by hand
❗ No prior Excel experience required - the course covers everything you need
❗ A willingness to practice - this course is example-driven, and working through problems alongside the lectures is strongly recommended
❗ Basic algebra helpful but not essential - the course walks through constraint plotting step by step from scratch
[h2]Description[/h2]
You can follow the lecture. You understand the theory. But when exam questions appear - different numbers, different constraints - you freeze.
This course fixes that.
Built for university students in Operations Research, Management Science, Industrial Engineering, or any course that includes Linear Programming, this is a structured, exam-ready system - not a collection of scattered videos.
What Makes This Course Different
Most LP courses teach you the method. This one also teaches you where students go wrong - and why. A dedicated section covers the most common mistakes in graphical LP and sensitivity analysis. Each mistake is explained, shown on a graph, and corrected step by step. You will not find this level of error analysis in a textbook or a standard lecture series.
Every lecture is deliberately kept short - mostly 3 to 8 minutes, with only a handful exceeding 20 minutes where the concept genuinely demands more depth. Each one covers a single idea completely. You can watch one between classes, revisit a specific concept before an exam, or work through a section in a single sitting. No 2-hour lectures you abandon halfway through.
Some core lectures are also available on my YouTube channel, Optima Decisions Lab - where they have been watched by tens of thousands of students. This course goes further: every topic is accompanied by downloadable worked-example PDFs, practice quizzes, and a structured learning path. If you have already watched the YouTube content and found it useful, this course is the natural next step.
Every section ends with a practice quiz and downloadable worked-example PDF - so you test your understanding as you go, not just before the exam.
[h2]What You Will Learn[/h2]
The course covers everything from LP fundamentals and graphical method to sensitivity analysis, common mistakes, and full exam preparation - in a deliberate sequence that builds understanding one concept at a time
What the Course Covers
The course is structured across 7 sections - from LP fundamentals through graphical method, sensitivity analysis, common mistakes, product mix examples, minimization, and exam preparation. Each section builds on the previous one in a deliberate sequence
What You Get
✨ Short, focused lectures - mostly 3 to 8 minutes, none exceeding 26- each covering one complete idea
✨ Worked-example PDFs for every major topic - downloadable and printable
✨ Section-wise practice quizzes to consolidate understanding
✨ A complete constraint plotting guide covering every case you will encounter
✨ LP vs NLP identification worksheet with corner cases
✨ Excel Solver walkthroughs alongside graphical solutions
✨ A certificate of completion
[h2]Who this course is for[/h2]
⭐ University and college students taking Operations Research, Management Science, Quantitative Methods, or Industrial Engineering courses who need to master LP for exams
⭐ Students who have tried to learn LP from textbooks but find the graphical method or sensitivity analysis confusing
⭐ Self-taught learners and YouTube viewers who want a structured, practice-driven path with worked examples, quizzes, and a certificate
⭐ Professionals in supply chain, logistics, or business analytics who want a working understanding of LP fundamentals without heavy mathematical theory
⭐ Anyone preparing for a standardized exam or professional certification that includes Linear Programming topics
[h2]Homepage[/h2]

Код:

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