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所在平台: Udemy |
课程主页: https://www.udemy.com/course/operations-research-or/
课程评论：没有评论
课程名称：实用线性规划与整数规划 概述：本课程旨在教授一种编程技术，让您能够快速计算出复杂优化问题的最佳解决方案，通常在不到一秒的时间内即可完成。这一技术包括线性规划和整数规划！学习这些内容将帮助您： - 为工作所在的公司或组织寻找更好、更公正的解决方案 - 节省寻找良好解决方案的时间 - 更有效地利用资源 - 做出更优的商业决策 - 提升职业发展 - 让这个世界变得更美好 课程将从头到尾覆盖相关内容，因此您不需要具备任何背景知识。结束时，您将能够使用Python和Microsoft Excel解决复杂问题。此课程特别适合： - 希望提升技能的专业人士 - 希望优化公司流程的行业高管 - 学习运筹学的大学生 - 希望学习新技能的计算机科学家 您将学习如何解决实际问题并找到最佳解决方案：将其表述为线性程序或整数程序，使用Excel或Python进行建模，最终解决问题。我们将通过具体示例，如背包问题、分配问题、批量生产问题，甚至您下一次的晚宴，来展示这一过程。同时，我们还将引入许多运筹学领域的实例。 让我们开始吧！注意：本课程包含展示Microsoft产品的屏幕视频，并已获得Microsoft的许可。
I will teach you a programming technique with which you can compute optimal solutions for highly complex optimization problems. In many cases really fast, like in less than a second.This technology is linear and integer programming!Learning it can help youfind better and fairer solutions for the company or organization you work forsave time in finding a good solutionuse resources more efficientlymake better business decisionsadvance in your careerand yes, make the world a better place to be.We will do everything from A to Z, so you do not need to know anything about this topic. In the end, you will be able to solve complex problems using Python and Microsoft Excel. This course is great forProfessionals who want to improve their skillsetExecutives in the industry who want to optimize processes in their companiesUniversity students taking a course in operations researchComputer scientists who want to learn a new and extremely useful skillYou will learn how to tackle a real-world problem and solve it optimally: formulate it as a linear program or an integer program, formulate it with Excel or Python, and then solve it. We will see this with concrete examples like the knapsack problem, the assignment problem, the lot-sizing problem, and even your next dinner party! In the process, we will see many examples from the area of operations research.Let's get started!Disclaimer: This course includes screen videos showing products by Microsoft. Used with permission from Microsoft.
