MATHEMATICAL PROGRAMMING

Channel 1
SIMONE SAGRATELLA Lecturers' profile

Program - Frequency - Exams

Course program
1. Real valued functions of more than one variable (10 ore) 2. Limits and continuity for functions of than one variable (10 ore) 3. Differentiability for functions of more than one variable (10 ore) 4. Convexity of sets and functions in R^n (5 ore) 5. Maximum and minimum points for functions of more than one variable(10 ore) 6. Mathematical programming models(15 ore) 7. Linear programming (15 ore) 8. Methods for nonlinear programming problems (15 ore)
Prerequisites
having successfully attended the courses: Fondamenti di Matematica; Geometria
Books
lecture notes
Frequency
none
Exam mode
written test oral practical solution
Bibliography
liuzzi giampaolo; sciandrone marco - complementi di matematica. funzioni di piu' variabili reali COMPLEMENTI DI MATEMATICA. FUNZIONI DI PIU' VARIABILI REALI LIUZZI GIAMPAOLO; SCIANDRONE MARCO
Lesson mode
lectures practical solutions
Channel 2
GIAMPAOLO LIUZZI Lecturers' profile

Program - Frequency - Exams

Course program
1. Real valued functions of more than one variable (10 ore) 2. Limits and continuity for functions of than one variable (10 ore) 3. Differentiability for functions of more than one variable (10 ore) 4. Convexity of sets and functions in R^n (5 ore) 5. Maximum and minimum points for functions of more than one variable(10 ore) 6. Mathematical programming models(15 ore) 7. Linear programming (15 ore) 8. Methods for nonlinear programming problems (15 ore)
Prerequisites
having successfully attended the courses: Fondamenti di Matematica; Geometria
Books
G.Liuzzi, M.Sciandrone, "Complementi di Matematica" (Hoepli editore) Teaching notes by Prof. M. Roma
Teaching mode
The course is taught completely in presence
Frequency
Participation to the lectures is optional
Exam mode
In order to pass the exam the student needs a note greater or equal than 18/30. The student has to show a sufficient knowledge on all the topics of the course and has to be able to fomulate a linear programming model. To get the maximum note, 30/30 cum laude, the student has to show an excellent knowledge on all the topics of the course being able to logically link them.
Lesson mode
The course is taught completely in presence
  • Lesson code1022722
  • Academic year2024/2025
  • CourseComputer and System Engineering
  • CurriculumAutomatica
  • Year2nd year
  • Semester1st semester
  • SSDMAT/09
  • CFU9
  • Subject areaAttività formative affini o integrative