Gomori method. Sources. C#.

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This program is designed to solve linear programming problems using the simplex method. Its sources are written in Microsoft Visual C# and contain detailed comments.

The program automatically brings the problem to canonical form and solves it iteratively by recalculating the simplex table. If the optimal plan is not integer, then the Gomori method is used. The problem can be solved both at the maximum and at the minimum. The user has access to a detailed report on the solution of the problem.

The program supports three problem solving modes:

1. Auto
2. Step by step
3. Manual

In automatic mode, the program itself selects the enabling column and row that provide the maximum increase or decrease in the objective function. It also automatically recalculates all tables. If the optimal plan is not integer, then the program adds a new constraint (cut) and recalculates the table. This is repeated until a complete solution is found.

In step-by-step mode, each recalculated table is displayed on the screen, which is convenient for viewing intermediate results of solving the problem. The permitting column and row in this mode are selected by the program itself. And also a new constraint is automatically added if the optimal plan is not integer.

In manual mode, the user selects the enabling row and column.

The program is free and available for download here: Gomori is a program for solving linear programming problems using the simplex method. The program source contains comments in C# that will help you understand how the program works. It automatically brings the problem to canonical form and solves it using the iterative method with recalculation of the simplex table. If the optimal plan is not an integer, then the program applies the Gomori method.

The program supports problem solving modes: automatic, step-by-step and manual. In automatic mode, the program itself selects the allowing column and row, recalculates all tables and adds a new constraint if the optimal plan is not integer. In step-by-step mode, each recalculated table is displayed on the screen, and the resolving column and row are selected by the program. In manual mode, the user selects the enabling row and column.

The Gomori Method program with source code in C# is an excellent digital product for those who solve linear programming problems. It will help you quickly and efficiently solve complex problems and receive a detailed report on the solution. Beautiful html design of goods in a digital goods store will make the purchasing process more enjoyable and convenient.

The "Gomori Method" program in the C# programming language is designed to solve linear programming problems using the simplex method. It automatically brings the problem to canonical form and solves it using the iterative method with recalculation of the simplex table. If the optimal plan is not an integer, then the program applies the Gomori method.

The program supports problem solving modes: automatic, step-by-step and manual. In automatic mode, the program itself selects the allowing column and row, recalculates all tables and adds a new constraint if the optimal plan is not integer. In step-by-step mode, each recalculated table is displayed on the screen, and the resolving column and row are selected by the program. In manual mode, the user selects the enabling row and column.

The Gomori Method program is free and available for download here. The archive contains two versions of the program with sources in C# and several examples of calculations in the program. The first version of the program has a more complex interface, and the second is a lightweight version with a minimum amount of code.

The Gomori Method program in C# is designed to solve linear programming problems using the simplex method. The program automatically brings the problem to canonical form and solves it iteratively by recalculating the simplex table. If the optimal plan is not integer, then the Gomori method is used.

The program supports three problem solving modes: automatic, step-by-step and manual. In automatic mode, the program itself selects the allowing column and row, recalculates all tables and adds a new constraint if the optimal plan is not integer. In step-by-step mode, each recalculated table is displayed on the screen, and the resolving column and row are selected by the program. In manual mode, the user selects the enabling row and column.

The program has a beautiful HTML design and is available for download via this link. The archive with the program contains source code in C# with detailed comments and several calculation examples. The archive contains two versions of the program: the first is more complex, with a more complex interface, the second is a lightweight version of the first program, suitable for students who need a simple solution to the problem.

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The Gomori method is an additional algorithm used in the program to solve linear programming problems using the simplex method in the C# programming language. If, after applying the simplex method, the optimal plan is not integer, then the program automatically applies the Gomori method. This method involves adding a new constraint (cut) to the problem to eliminate the current non-integer optimal design from the set of feasible solutions. The program then recalculates the table and repeats the process until a complete solution is found. The program also allows you to solve problems with both maximum and minimum, and displays a detailed report on the solution of the problem. There are three problem solving modes: automatic, step-by-step and manual. In automatic mode, the program itself selects the enabling column and row, and also recalculates all tables. In step-by-step mode, each recalculated table is displayed on the screen for easy viewing of intermediate results of solving the problem. In manual mode, the user selects the enabling row and column. The program is free and available for download here. The archive contains two versions of the program with source codes: the first is more complex with a more complex interface, and the second is a lightweight version, which is suitable for students who need a simple solution to the problem.

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1. The Gomori method in C# is an excellent tool for solving complex optimization problems.
2. The sources of the Gomori method in C# allow you to quickly create your own optimization algorithms.
3. The implementation of the Gomori method in C# allows you to perform mathematical calculations with high accuracy and speed.
4. Programming in C# using the Gomori method greatly simplifies the optimization problem.
5. The sources of the Gomori method in C# allow you to quickly adapt the algorithm to various tasks.
6. The implementation of the Gomori method in C# has a high degree of reliability and stability.
7. Using the Gomori method in C# allows you to solve optimization problems with a large number of variables and constraints.
8. Using the Gomori method in C# significantly reduces the time required to solve complex mathematical problems.
9. The sources of the Gomori method in C# are open to changes and improvements, which allows you to improve the algorithm with each use.
10. The implementation of the Gomori method in C# has a simple and intuitive interface, which makes it accessible to a wide range of users.

Peculiarities:

The Gomory method is a great tool for solving complex mathematical problems.

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The implementation of the Gomori method in C# is simple and intuitive, even for beginners in programming.

Gomory's method makes it possible to efficiently solve linear programming and optimization problems.

Using the Gomori method in your C# projects can significantly speed up calculations and improve the accuracy of results.

The Gomory method is one of the most effective and widespread methods for solving linear programming problems.

The implementation of the Gomory method in C# makes it easy to integrate it into existing software solutions.

The Gomory method is a reliable and accurate algorithm that makes it possible to obtain the optimal solution to the problem.

Using the Gomory method in C# is an excellent choice for those who are looking for a productive and efficient solution to optimization problems.

Gomory's C# method is a great example of how mathematical methods can be effectively implemented in code.