Shared by 
Unlock all 4 pages
Get it free by sharing your own notes, buy just this one, or become a member and unlock documents with your plan.
How to unlock this document
Choose the way that suits you. Each one gives you all 4 pages to read online and the PDF to download.
Share your notes, unlock for free
2 free unlocks for every 5 approved uploads
- Upload your own lecture notes, assignments, essays or past papers
- PDF, Word, PowerPoint and Excel files all work, and you can send many at once
- We check each upload; you get a notification when it is approved
- Spend a free unlock on this document or any other, and keep it for good
- Shared under your public username, never your email
Then upload your notes from your profile.
Buy this document
$4 one-time payment
- All 4 pages of this document, yours to keep
- Download the PDF and read it any time, also offline
- No subscription and nothing to cancel
- Find it again any time under My Profile → Library
You log in or create a free account first, then pay securely.
Become a member
Unlock documents from the whole library, which keeps growing
- Choose any documents you like, up to your plan’s unlocks
- Documents you unlock stay yours, even if you cancel later
- Your unlocks start again with every renewal
- Secure checkout by Dodo Payments
You log in or create a free account first, then pay securely.
Compare the plansAlready a member, or bought this before? Log in to open it
About this document
- Pages
- 4 pages
- Price
- $4 one-time, yours to keep
- Membership
- Included in every plan
- Format
- Subject
- Computer Science, Mathematics
This document covers various optimization techniques, including linear, non-linear, integer, and dynamic programming. It also discusses PERT/CPM and non-traditional techniques like genetic algorithms. It is useful for understanding different methods of optimization.
What's inside
- Linear Programming: Graphical method, Simplex method, Duality
- Non-Linear Programming: Unconstrained optimization, Descent methods
- Integer and Dynamic Programming: Formulation, Gomory’s methods
- PERT/CPM: Network Construction, Crashing, Resource analysis
- Non-Traditional Techniques: Genetic Algorithm, Simulated Annealing
Who it is for: Students studying optimization techniques in Computer Science. (Postgraduate)
Share with classmates: WhatsApp Telegram X LinkedIn Facebook
Summary
Optimization techniques are methods for finding the best solution from a set of possible choices. Students learn about different types of optimization problems and how to solve them.
Linear Programming
Linear programming is used to optimize a linear objective function. Methods include the graphical method, simplex method, and duality in linear programming. Applications include transportation and assignment problems.
Non-Linear Programming
Non-linear programming deals with optimizing non-linear functions. Techniques include unconstrained optimization, direct search methods, and descent methods. Constrained optimization is also covered.
Integer and Dynamic Programming
Integer programming involves problems where variables must be integers. Methods include Gomory’s cutting plane and branch and bound techniques. Dynamic programming uses Bellman’s principle of optimality to solve problems.
Network Scheduling
PERT and CPM are used for network scheduling. Topics include network construction, float times, crashing, and resource analysis. Optimistic, most likely, pessimistic, and expected times are computed.
Key terms
- Simplex method
- A method for solving linear programming problems.
- Gomory’s cutting plane
- A method for solving integer programming problems.
- Bellman’s principle of optimality
- A principle used in dynamic programming to make a choice.
- PERT
- A method used for planning and controlling projects.
- Non-linear programming
- Optimization of non-linear functions.
- Network scheduling
- Planning and controlling projects using networks.
Questions this document helps with
- How do you solve linear programming problems?
- What is the difference between integer and dynamic programming?
- How do you use Bellman’s principle of optimality?
Summary written with AI from the document's text.
Ask the AI Teacher
Ask any question about this document or your course, and get a clear explanation.
Log in to ask Create a free account
Free accounts can ask 5 questions a day.