The main objective of the course: learning process optimization methods in engineering systems of heat and gas supply and ventilation using a computer. As a result of studying the course the student should know and be able optimization techniques to develop and apply software packages. Course material is based on the knowledge obtained by students in the study of mathematics, engineering, technical and specialized disciplines that define the curriculum of the university.

Higher mathematics. Physics. Chemistry. Heat and Mass Transfer. Programming and Computer Science.

Introduction. The purpose and objectives of discipline, its relationship with other disciplines of mathematical, algorithmic and general engineering training. Counts. General information about graphs, classification, characteristics and properties. Focused, undirected, isomorphic, flat graphs. Degrees and half-degrees vertices. Trees. Cyclomatic number of the graph. Transportation grid. Mesh model. Algorithm for the Maximum Flow in the transport grid. Optimization problem in systems of heat and gas supply and ventilation. Optimization methods and their classification. Dimensional search engine optimization. Method dichotomy (half-division). The functions of several variables. Partial derivatives. Stationary points of functions of several variables and their geometric interpretation. Multidimensional search engine optimization. The method of differentiation, the method of nets and simplex method. Linear programming.

1.Блох Л.С. Номографія практична, 1971. – 320 с.
2.Адлер Ю.П. и др. Планирование эксперимента при поиске оптимальных условий. М.:, “Высшая школа”, 1976. – 279 с.

current control - 40 points, control measures - 60 points
Current control:
- practical training
- control work
Final control:
- test