Linear Programming (MAE631K): Διαφορά μεταξύ των αναθεωρήσεων
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Χωρίς σύνοψη επεξεργασίας |
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! Learning outcomes | ! Learning outcomes | ||
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The course learning outcomes are: the introduction of the students to linear programming formulation, the comprehension of the mathematical properties of linear programming problems, the understanding of the theory underlying the simplex algorithm, the understanding of the dual theory and its interpretation, the use of LINDO software package to solve linear programming problems | The course learning outcomes are: the introduction of the students to linear programming | ||
formulation, the comprehension of the mathematical properties of linear programming | |||
problems, the understanding of the theory underlying the simplex algorithm, the | |||
understanding of the dual theory and its interpretation, the use of LINDO software package | |||
to solve linear programming problems | |||
Upon successful completion of the course the student will be able to: | |||
# to model linear programming problems. | |||
# to solve linear programming problems with the Simplex method. | |||
# to apply the appropriate modifications of Simplex method when it is necessary. | |||
# to validate and interpret the results obtained when linear programming problems are solved using LINDO software | |||
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! General Competences | ! General Competences | ||
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* Synthesis of data and information, with the use of the necessary technology. | * Synthesis of data and information, with the use of the necessary technology. | ||
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=== Syllabus === | === Syllabus === | ||
* Linear programming problems formulation | * Linear programming problems formulation | ||
Αναθεώρηση της 19:20, 14 Δεκεμβρίου 2024
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General
| School |
School of Science |
|---|---|
| Academic Unit |
Department of Mathematics |
| Level of Studies |
Undergraduate |
| Course Code |
ΜΑΕ631K |
| Semester |
6 |
| Course Title |
Linear Programming |
| Independent Teaching Activities |
Lectures (Weekly Teaching Hours: 3, Credits: 6) |
| Course Type |
Special Background |
| Prerequisite Courses | - |
| Language of Instruction and Examinations |
Greek |
| Is the Course Offered to Erasmus Students |
Yes |
| Course Website (URL) | See eCourse, the Learning Management System maintained by the University of Ioannina. |
Learning Outcomes
| Learning outcomes |
The course learning outcomes are: the introduction of the students to linear programming formulation, the comprehension of the mathematical properties of linear programming problems, the understanding of the theory underlying the simplex algorithm, the understanding of the dual theory and its interpretation, the use of LINDO software package to solve linear programming problems Upon successful completion of the course the student will be able to:
|
|---|---|
| General Competences |
|
Syllabus
- Linear programming problems formulation
- Graphical solution
- The Simplex Method
- The Big M method
- The Two-Phase Simplex Method
- Dual theory
- Sensitivity analysis
- Transportation problem
- Assignment problem
Teaching and Learning Methods - Evaluation
| Delivery |
Face-to-face | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Use of Information and Communications Technology |
Lindo Software, Email, class web | ||||||||||
| Teaching Methods |
| ||||||||||
| Student Performance Evaluation |
LANGUAGE OF EVALUATION: Greek
|
Attached Bibliography
See the official Eudoxus site or the local repository of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus:
- Βασιλείου Β. και Τσαντας Ν., Εισαγωγή Στην Επιχειρησιακή Έρευνα, Εκδόσεις Ζητη 2000.
- Κολετσος Κ., Στογιαννης Δ. Επιχειρησιακή Έρευνα Θεωρία, Αλγόριθμοι Και Εφαρμογές, Εκδόσεις, Συμεών, 2021.
- Κουνιας Σ. και Φακινος Φ., Γραμμικός Προγραμματισμός, Εκδόσεις Ζητη, Θεσσαλονίκη 1999.
- Παπαρριζος Π., Γραμμικός Προγραμματισμός. Εκδόσεις Ζυγός, Θεσσαλονίκη 1999.
- Σισκος Γ., Γραμμικός Προγραμματισμός, Εκδόσεις Νέων Τεχνολογιών, Αθήνα 1998.
- Υψηλαντης Π. Μέθοδοι και Τεχνικές Λήψης Αποφάσεων, Εκδόσεις Προπομπός, 2015.
- Φακινου Δ. Και Οικονομου Α., Εισαγωγή Στην Επιχειρησιακή Έρευνα- Θεωρία Και Ασκήσεις, Αθήνα 2003.
- Βertsimas D. And J. N. Τsitsiklis Introduction to Linear Optimization, Athena Scientific, 1997.
- Κουνετάς, Κ., Χατζησταμούλου, Ν., 2015. Εισαγωγή Στην Επιχειρησιακή Έρευνα Και Στον Γραμμικό Προγραμματισμό. Λύσεις Προβλημάτων Με Το Πρόγραμμα R. [Ηλεκτρ. Βιβλ.] Αθήνα: Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο Στο: Http://Hdl.Handle.Net/11419/5699.
- Gass S. Linear Programming Methods and Applications, Mcgraw-Hill 1985.
- Hadley G. Linear Programming, Addison-Wesley Publishing Company, Inc, 1965.
- Hillier F. S. And G. J. Lieberman Introduction Operations Research. The Mcgraw-Hill Companies, 2001.
- RardinL. R. Βελτιστοποίηση στην Επιχειρησιακή Έρευνα, ΕκδοσειςΚλειδαριθμος, 2022.
- TahaH., Εισαγωγή Στην Επιχειρησιακή Έρευνα, 10η Έκδοση, Eκδόσεις Α. Τζιολα & YιοιA.E., 2017.
- Winston W. L., Operations Research (Applications And Algorithms). Duxbury Press (International Thomson Publishing) 1994.
- [Περιοδικό / Journal] Mathematical Programming Journal, Series A and Series B.
- [Περιοδικό / Journal] INFORMS Transactions on Education (ITE).