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Learn how to use Excel Solver to solve a transportation problem, a type of linear programming problem, in six steps. Find the optimal cost or profit of your…
Learn about common sources of uncertainty and variability in linear programming problems, and how to use sensitivity analysis and shadow prices to deal with them.
Learn how to balance the trade-offs between robustness and efficiency in linear programming models. Discover concepts and methods for handling uncertainty and…
Learn about the challenges and limitations of the cutting plane method, a technique for solving fractional programming problems, and how to overcome or avoid them.
Learn how to formulate a MINLP problem for optimal design of a chemical process using linear programming. Find out what MINLP is and how to use it.
Learn how to apply, practice, and enhance the graphical method of linear programming with tips and tricks for instructors and students.
Learn how to use data-driven, model-based, and data-model integration methods to solve complex optimization problems with nonlinearities and integer variables.
Learn how to improve the convergence and accuracy of cutting plane and simplex methods for linear programming problems with these tips and tricks.
Learn how to use Excel Solver, a built-in tool in Microsoft Excel, to solve linear optimization problems in six easy steps.
Learn how to implement cutting plane method for solving integer linear programming problems and how to deal with multiple objectives or constraints.
Learn how to apply branch and bound to real-world optimization problems in linear programming, such as scheduling, packing, and traveling salesman.
Learn what branch and bound is, how it works, and what are some of the common issues that arise when using it for optimization problems.
Learn how to use cutting plane method for linear programming problems and how to extend it for uncertain or stochastic situations.