Linear Programming Tutors

Stuck on the simplex method at 11 pm with a problem set due at 8 am? That’s exactly when MEB tutors answer.

Linear Programming Tutor Online

Linear Programming is a mathematical method for optimising a linear objective function subject to linear equality and inequality constraints, used to solve resource allocation, scheduling, and logistics problems across engineering, economics, and management.

Finding a reliable Linear Programming tutor near me is harder than it should be — most platforms offer generalists who know calculus but go quiet when you mention degeneracy, Big-M, or dual feasibility. MEB connects you with operations research tutoring specialists who know LP inside out, from standard-form formulation to sensitivity analysis. Sessions are 1:1, online, and calibrated to your exact course. Students typically leave their first session able to set up and solve a problem they couldn’t start before.

• 1:1 online sessions tailored to your university module, exam board, or graduate syllabus
• Expert-verified tutors with subject-specific knowledge in LP, integer programming, and optimisation
• Flexible time zones — US, UK, Canada, Australia, and Gulf all covered
• Structured learning plan built after a diagnostic session
• Ethical homework and assignment guidance — you understand the work before you submit it

52,000+ students across the US, UK, Canada, Australia, and the Gulf have used MEB since 2008 — including students in Operations Research subjects like Linear Programming, Simplex Method, and Convex Optimization.

Source: My Engineering Buddy, 2008–2025.

How Much Does a Linear Programming Tutor Cost?

Most Linear Programming tutoring sessions run $20–$40/hr. Graduate-level work — stochastic LP, multi-objective programming, large-scale decomposition — can reach $70–$100/hr depending on tutor expertise and timeline. Not sure if it’s worth it? Start with the $1 trial: 30 minutes of live tutoring or one problem explained in full.

Tutor availability tightens sharply in the weeks before finals and semester-end project deadlines. Book early if your exam or submission is within six weeks.

WhatsApp MEB for a quick quote — average response time under 1 minute.

Who This Linear Programming Tutoring Is For

Linear Programming trips up students at every level — not because the concept is abstract, but because the gap between understanding the theory and actually setting up and solving a real problem is wider than most courses acknowledge.

• Undergraduate students in engineering, economics, business, or computer science hitting LP for the first time
• Graduate and MBA students dealing with LP as part of a broader optimisation or supply chain module
• Students retaking after a failed first attempt — particularly common in operations research and management science programmes
• Students with a conditional university offer that depends on passing this module
• Students 4–6 weeks from an exam with real gaps in sensitivity analysis, duality, or integer programming
• Researchers and PhD students using LP as a modelling tool who need to get up to speed fast

MEB tutors have worked with students at universities including MIT, Georgia Tech, Carnegie Mellon, University of Warwick, Imperial College London, TU Delft, University of Toronto, and KAUST. Wherever you’re studying LP, the tutor will know your level.

At MEB, we’ve found that the students who struggle most with Linear Programming aren’t bad at maths — they never got a clear explanation of what the feasible region actually represents, or why the simplex method moves the way it does. One good session on the geometry fixes weeks of confusion.

1:1 Tutoring vs Self-Study vs AI vs YouTube vs Online Courses

Self-study works if you’re disciplined — but LP problem sets have a way of revealing gaps you didn’t know existed. AI tools give fast answers and can check your algebra, but they can’t watch you formulate a constraint wrong and correct it in real time. YouTube is solid for the graphical method overview; it stops helping when you hit the two-phase method or need to interpret a sensitivity report. Online courses move at a fixed pace that may not match your exam in six weeks. With a 1:1 Linear Programming tutor from MEB, the session is built around your exact formulation errors, your specific textbook, and your deadline — nothing more, nothing less.

Outcomes: What You’ll Be Able To Do in Linear Programming

After working with an MEB Linear Programming tutor online, students can formulate LP models from word problems — including multi-resource, multi-constraint scenarios — without prompting. You’ll solve standard-form problems by hand using the simplex method and verify results using Excel Solver or MATLAB. You’ll analyse a sensitivity report and explain what the shadow price and allowable range mean for a real decision. You’ll apply duality to interpret a problem from both the primal and dual perspective. And you’ll extend LP thinking to discrete optimization when integer constraints enter the picture.

Based on feedback from 40,000+ sessions collected by MEB from 2022 to 2025, 58% of students improved by one full grade after approximately 20 hours of 1:1 tutoring in subjects like Linear Programming. A further 23% achieved at least a half-grade improvement.

Source: MEB session feedback data, 2022–2025.

Try your first session for $1 — 30 minutes of live 1:1 tutoring or one homework question explained in full. No registration. No commitment. WhatsApp MEB now and get matched within the hour.

What We Cover in Linear Programming (Syllabus / Topics)

Foundations and Formulation

• Problem structure: objective function, decision variables, constraints
• Standard form and canonical form conversion
• Graphical method for two-variable LP problems
• Corner-point theorem and feasible region geometry
• Identifying unbounded, infeasible, and degenerate cases
• Slack, surplus, and artificial variables

Core texts: Introduction to Linear Programming by Bertsimas & Tsitsiklis; Linear Programming by Chvátal; Operations Research by Hillier & Lieberman.

Simplex Method and Duality

• Simplex algorithm: pivot selection, basis updates, termination
• Big-M method and two-phase simplex
• Dual LP formulation and dual simplex method
• Complementary slackness conditions
• Sensitivity analysis: ranging for objective coefficients and RHS values
• Shadow prices and their economic interpretation
• Degeneracy and cycling — recognition and prevention

Core texts: Linear Programming and Network Flows by Bazaraa, Jarvis & Sherali; Practical Linear Algebra for Machine Learning by Aston Zhang (for LP in ML contexts); Bertsimas & Tsitsiklis.

Extensions and Applications

• Transportation and assignment problems
• Network flow LP models
• Introduction to integer linear programming (ILP) and branch-and-bound
• LP relaxation and its role in dynamic programming contexts
• Multi-objective LP and goal programming
• LP modelling in supply chain, production planning, and scheduling
• Using Excel Solver, MATLAB linprog, and Python (SciPy, PuLP) to solve LP models

Core texts: Model Building in Mathematical Programming by Williams; Integer Programming by Wolsey; Hillier & Lieberman for applied cases.

What a Typical Linear Programming Session Looks Like

The tutor opens by checking where you finished last time — usually sensitivity analysis or the dual simplex — and asking you to walk through one step of a problem you attempted between sessions. That immediately shows what stuck and what didn’t. From there, you and the tutor work through a new problem on screen: the tutor formulates the first constraint live using a digital pen-pad, then hands it to you to complete the rest under their watch. If you set up a constraint wrong, the correction happens right there — not in written feedback three days later. The session closes with one practice problem assigned, a note on what to review in Bertsimas before next time, and confirmation of the next topic (often duality or branch-and-bound, depending on where you are in the course).

How MEB Tutors Help You with Linear Programming (The Learning Loop)

Diagnose: In the first session, the tutor identifies exactly where your LP reasoning breaks down — is it the formulation step, the pivot logic, the sensitivity interpretation, or the connection between primal and dual? Most students have one or two specific breakpoints, not a general weakness.

Explain: The tutor works through a problem live on the digital pen-pad, narrating every decision — why this variable enters the basis, what the shadow price is actually measuring, why degeneracy matters here. You see the thinking, not just the answer.

Practice: You attempt the next problem with the tutor watching. No shortcuts. The tutor can see the moment you hesitate on a pivot column and address it immediately.

Feedback: Every error gets a root-cause explanation — not just “that’s wrong” but “here’s the step where the reasoning diverged and why that costs marks in an exam.” Common errors in LP include incorrect standard-form conversion and misreading sensitivity ranges; the tutor knows what examiners look for.

Plan: At the end of each session, the tutor sets the next topic, recommends specific problem types to practise, and estimates how many sessions remain before the exam gap is closed.

Sessions run on Google Meet with a digital pen-pad or iPad and Apple Pencil. Before your first session, share your course syllabus or problem set, your most recent exam or homework attempt, and your exam date. The tutor uses that to set the diagnostic problem and build your first session plan from scratch. Start with the $1 trial — 30 minutes of live tutoring that also serves as your first diagnostic.

Students consistently tell us that the moment Linear Programming clicks is when they stop treating the simplex tableau as a procedure and start seeing it as a record of which corner of the feasible region they’re standing on. That shift takes one session to engineer when the explanation is targeted.

Tutor Match Criteria (How We Pick Your Tutor)

Not every strong mathematician makes a strong LP tutor. MEB matches on four criteria.

Subject depth: The tutor must have demonstrable experience with your specific level — undergraduate intro LP, graduate-level optimisation, or applied LP in a domain like supply chain or finance. A tutor who knows the graphical method is not the same as one who can walk you through convex optimization and LP duality.

Tools: Every MEB LP tutor works on Google Meet with a digital pen-pad or iPad and Apple Pencil — the maths must be shown live, not typed into a chat box.

Time zone: Matched to your region. US, UK, Gulf, Canada, and Australia are all covered with tutors in compatible working hours.

Goals: Exam score improvement, conceptual depth, homework and assignment completion, or research modelling support — the tutor brief reflects your actual objective, not a generic “help with LP.”

Unlike platforms where you fill out a form and wait, MEB responds in under a minute, 24/7. Tutor match takes under an hour. The $1 trial means you test before you commit. Everything runs over WhatsApp — no logins, no intake forms.

Study Plans (Pick One That Matches Your Goal)

After the diagnostic session, the tutor builds a plan from one of three starting points. Catch-up (1–3 weeks): you’re behind and need to close a specific gap — formulation errors, simplex mechanics, or sensitivity analysis — before an exam. Exam prep (4–8 weeks): structured revision covering all LP topics, past paper practice, and timed problem sets calibrated to your exam format. Weekly support: ongoing sessions aligned to your semester schedule, working through each topic as your course introduces it. The tutor decides which pace fits after the first session.

Pricing Guide

Standard Linear Programming tutoring runs $20–$40/hr and covers undergraduate through taught-graduate level. Specialist work — stochastic LP, decomposition methods, LP in operations research research projects — runs up to $100/hr. Rate factors include topic complexity, level, your timeline, and tutor availability in your time zone.

Availability is genuinely limited in the four weeks before finals. If your exam is within six weeks, book now rather than later.

For students targeting top-tier MBA programmes, engineering graduate schools, or professional roles in logistics and supply chain, MEB has tutors with industry and research backgrounds in applied optimisation — share your specific goal and MEB will match the right tier.

Start with the $1 trial — 30 minutes, no registration, no commitment. WhatsApp MEB for a quick quote.

MEB has covered 2,800+ subjects since 2008 — from introductory Linear Programming to advanced decision modelling and game theory — with tutors matched to your exact level and course structure.

Source: My Engineering Buddy, 2008–2025.

FAQ

Is Linear Programming hard?

The concepts are accessible, but the gap between understanding the theory and correctly setting up and solving a real problem is bigger than most courses prepare you for. Formulation errors and simplex pivot mistakes are the two most common failure points — both are fixable with targeted practice.

How many sessions are needed?

Most students need 4–8 sessions to move from confused to confident across core LP topics. If you’re only stuck on one area — sensitivity analysis or the dual simplex, for example — two or three focused sessions are often enough. The tutor estimates this after the diagnostic.

Can you help with homework and assignments?

MEB tutoring is guided learning — you understand the work, then submit it yourself. See our Academic Integrity policy and Why MEB page for full details on what we help with and what we don’t. Tutors explain the method; you apply it to your own submission.

Will the tutor match my exact syllabus or exam board?

Yes. When you contact MEB, share your course name, university, and the topics you’re covering. The tutor match is made on that basis. LP looks different in an engineering optimisation course versus a business school OR module — the tutor assigned will know the difference.

What happens in the first session?

The tutor works through a diagnostic problem with you to find where your reasoning breaks down — usually in the formulation step or a specific part of the simplex process. From that point, every remaining minute of the session addresses your actual gap, not a generic LP overview.

Is online tutoring as effective as in-person?

For a maths-heavy subject like LP, online tutoring with a digital pen-pad is often clearer than in-person — you see the working drawn live on screen, can zoom in, and the session is easy to record for review. Most MEB students prefer it after the first session.

Can I get Linear Programming help at midnight?

Yes. MEB operates 24/7 and tutors are matched across time zones including the US, UK, Gulf, and Australia. WhatsApp MEB at any hour and expect a response within minutes. Problem sets don’t keep office hours — neither do we.

What if I don’t like my assigned tutor?

Tell MEB via WhatsApp. A different tutor is arranged without argument or delay. The $1 trial exists precisely so you can test the match before committing to a full session block. Tutor fit matters — MEB doesn’t make it difficult to change.

What’s the difference between LP and integer programming — do you cover both?

LP deals with continuous decision variables; integer programming adds the constraint that some or all variables must be whole numbers. MEB tutors cover both, and the transition from LP to ILP — including LP relaxation and branch-and-bound — is one of the most commonly requested topics at the graduate level.

Can you help me use Excel Solver or Python to solve LP problems?

Yes. MEB tutors support Excel Solver, MATLAB’s linprog function, and Python libraries including SciPy and PuLP. If your course requires software-based solutions alongside manual methods, the tutor covers both in the same session.

How do I get started?

Three steps: WhatsApp MEB, share your course details and exam date, then start the $1 trial — 30 minutes of live 1:1 tutoring or one homework problem explained in full. You’re matched within the hour. No registration form, no waiting list.

Trust & Quality at My Engineering Buddy

Every MEB tutor goes through subject-specific vetting — not a generic screening process. Candidates submit their academic and professional background, complete a live demo session evaluated by senior MEB staff, and are only added to the active pool if they can teach the subject at exam level, not just answer questions about it. Tutors covering LP are assessed on their ability to explain the simplex method, dual theory, and sensitivity analysis from scratch to a student who is stuck. Rated 4.8/5 across 40,000+ verified reviews on Google. Ongoing session feedback is monitored, and tutors with declining ratings are removed. See MEB’s tutoring methodology for details on how sessions are structured and quality is maintained.

MEB tutoring is guided learning — you understand the work, then submit it yourself. For full details on what we help with and what we don’t, read our Academic Integrity policy and Why MEB.

MEB has served 52,000+ students across the US, UK, Canada, Australia, the Gulf, and Europe since 2008, covering 2,800+ subjects. Operations Research is one of the platform’s strongest areas — including Markov Chains tutoring, inventory management help, and constraints tutoring alongside Linear Programming. If it’s in your OR or management science curriculum, MEB covers it.

A common pattern our tutors observe is that students arrive thinking they have a “maths problem” when they actually have a modelling problem — they don’t know how to translate a word problem into constraints and an objective function. Once that translation skill is built, the algebra takes care of itself.

Explore Related Subjects

Students studying Linear Programming often also need support in:

• Genetic Algorithms
• Multi-Criteria Decision Making and Analysis (MCDA/MCDM)
• Nash Equilibrium
• Discrete Optimization
• Dynamic Programming

Next Steps

Before your first session, have ready: your course name, university, and the specific LP topics you’re stuck on; a recent homework attempt or past exam question you couldn’t complete; and your exam or submission deadline. The tutor handles the rest.

• Share your exam board or course outline and your hardest LP topic
• Share your availability and time zone
• MEB matches you with a verified tutor — usually within the hour

The first session starts with a diagnostic so every minute is used on what you actually need. Visit www.myengineeringbuddy.com for more on how MEB works.

WhatsApp to get started or email meb@myengineeringbuddy.com.