Math & Optimizations: Solving Optimization Problems Using Integer Programming
Math
| Expert
- 10 videos | 53m 16s
- Includes Assessment
- Earns a Badge
Integer programming is a mathematical optimization model that helps find optimal solutions to our problems. Integer programming problems find more applications than linear programming and are an important tool in a developer's toolkit. Examine how to solve optimizations problems using integer programming through this course. Start by comparing the integer programming optimization model and linear programming. You'll then move on to the LP relaxation technique and how it can be used to obtain the starting point of an integer programming solution. You'll also explore the Pulp Python library through different case studies consisting of integer programming problems. Upon completing this course, you'll be able to apply integer programming to solve optimization problems.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseRecognize the assumptions and benefits of integer optimization modelsFormulate the integer programming model for becca luxury goodsUse lp relaxation to find a starting point for the integer programming solutionSolve integer programming problems using pulp
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Formulate the integer programming model for a capital budgeting problemSolve the capital budgeting problem using pulpFormulate the integer programming model for a manufacturing and distribution problemSolve the manufacturing and distribution problem using pulpSummarize the key concepts covered in this course
IN THIS COURSE
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2m 11s
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5m 39s
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5m 19s
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9m 7s
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6m 42s
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6m 17s
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6m 23s
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6m 9s
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3m 39s
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1m 50s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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