Solving of integer problems by dynamic programming

Optimalization problems with integer requirements on the variables occurs in real life very often. Unfortunately, finding optimal solutions to such problems are often numerically very difficukt. The work describes several possible algorithms for solving linear integer problems. The reader is also familiarized with the method of dynamic programming and the principle of optimality. This is demonstrated in a practical example of a knapsack model where the calculation is done using tables. The goal of this work is to apply the knowledge from the application of dynamic programming on a typical linear integer problems, namely on the problem of material separation, and thus show the algorithm of calculating integer problems. Finding the optimal integer solution is accomplished in two ways: by the classical method of spreadsheet tables and by the simplified method of using Lagrange multipliers. In the conclusion there are summarized the advantages and disadvantages of solving technic