Through its concepts such as sensitivity analysis and integer programming, linear programming is becoming one of the most complex yet important areas in statistics. Below are some of the glitches with which linear programming students are often burdened when handling their homework:
- Studying the context and formulating linear programming problems from it
- Determining the feasible zones for these problems
- Using graphical methodologies to solve problems
- Understanding simplex methods such as slack variables
- Using tables to comprehend the simplest method to solve problems
Solving each of these requires hard work and extensive knowledge, which most students often lack. This could be due to the speed and rush with which their lecturers tackle the subject with the intent of completing a long syllabus thus topics are not handled comprehensively. Consequently, students fare badly in their exams, which leads to poor grading.
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It’s Sunday night, and you have been working your fingers to the bone on a linear programming assignment all weekend. You clearly know that the final document that is due on Monday morning is not going to give you the marks you need to pass your class. You begin to consider the consequences of handing in your assignment as it is.
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