MATHEMATICAL PROGRAMMING
Course objectives
General outcomes: The course aims to provide advanced knowledge of mathematics more directly connected to the learning of basic optimization techniques. In particular, optimization topics concern the mathematical modeling of decision problems and solution algorithms for specific classes of optimization problems. A) knowledge and understanding: Acquire basic knowledge in the filed of mathematical analysis especially in connection with the study of properties of functions of many variables, with the definition of simple decision models, with the solution of simple minimum problems of for functions of many variables. B) applying knowledge and understanding: Ability to study the continuity and differentiability of a function of many variables and to solve some exercises connected with the determination of minimum points of linear or non linear problems. D) E) communication and learning skills: Ability of understanding the nature of some decisional problems by studying the properties of a function of many variables; ability to find the most suitable solution method to solve linear or nonlinear problems
Program - Frequency - Exams
Course program
Prerequisites
Books
Teaching mode
Frequency
Exam mode
Lesson mode
Program - Frequency - Exams
Course program
Prerequisites
Books
Teaching mode
Frequency
Exam mode
Lesson mode
Program - Frequency - Exams
Course program
Prerequisites
Books
Teaching mode
Frequency
Exam mode
Lesson mode
- Lesson code1022722
- Academic year2025/2026
- CourseComputer and Control Engineering
- CurriculumInformatica
- Year2nd year
- Semester1st semester
- SSDMAT/09
- CFU9
- Subject areaAttività formative affini o integrative