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所在平台: Udemy |
课程主页: https://www.udemy.com/course/numerical-optimization-and-operations-research-in-python/
课程评论：没有评论
**课程名称：** Python中的数值优化与运筹学 **课程概述：** 本课程旨在通过应用数值优化和运筹学概念，帮助您高效地利用数据支持决策。课程结合了理论基础和Python实践代码，旨在为您提供解决复杂问题的专业或学术技能。 **学习内容：** * **理论：** * 数学优化的基本原理 * 线性规划 (LP) * 整数与混合整数线性规划 (MILP) * 处理不可行情况 * 多目标层次（字典序）公式 * 构造性启发式和局部搜索 * **软件：** * Pyomo * Google OR-Tools * HiGHS * **问题：** * 背包问题 * 产品组合问题 * 运输问题 * 批量定货问题 * 作业车间调度问题 * 设施选址问题 * 旅行商问题 * 有容量限制的车辆路径问题 **行业级技能：** 学习结束后，您将能够独立构建和解决优化问题，这在物流、金融等行业是备受追捧的能力。您还可以将模型转化为可扩展的程序，即使团队成员不熟悉优化，也能使用。 **目标人群：** * 希望将优化技能纳入工具箱的数据科学家和工程师。 * 希望利用优化进行决策的物流、供应链管理或金融领域的专业人士。 * 寻求运筹学和优化理论实践应用的学者和学生。 **课程特色：** * 超过4小时的视频讲座，清晰生动地讲解概念。 * 13+个交互式Python Notebooks，提供实践练习（含解决方案）。 * 精选文章和外部参考资料，提升学习体验。 * 社区论坛，供学员交流和建立社交联系。 * 终身访问课程材料，包括未来更新。 **学习目标：** 踏上Python优化决策之旅，无论是为了职业发展、学术研究，还是解决复杂问题的乐趣，本课程都将为您开启新的可能。
Numerical Optimization and Operations Research in PythonUse data efficiently to support decision-making by applying numerical optimization and operations research concepts seen throughout this comprehensive course. It combines theoretical foundations and practical coding applications, designed to empower you with the skills needed to tackle complex problems in a professional or academic context.You will learn:Theory:Principles of Mathematical OptimizationLinear programming (LP)Integer and Mixed-integer linear programming (MILP)Handle infeasible scenariosMulti-objective hierarchical (lexicographic) formulationsConstructive Heuristics and Local SearchSoftware:PyomoGoogle OR-ToolsHiGHSProblems:KnapsackProduct-MixTransportationLot-SizingJob-Shop SchedulingFacility DispersionTraveling SalesmanCapacitated Vehicle Routing ProblemIndustry-Grade Skills: By the end of this course, you'll be able to formulate and solve your own optimization problems, a highly sought-after competency in industries ranging from logistics to finance. You'll also be able to convert your models into scalable programs for your company or team even though they are not familiar with optimization.Who is this course for?Data scientists and engineers who want to add optimization skills to their toolkit.Professionals in logistics, supply chain management, or finance, who are looking to leverage optimization for decision-making.Academics and students seeking a practical application of operations research and optimization theories.Course Features:More than 4 hours of comprehensive video lectures explaining concepts in a clear and engaging manner.13+ Interactive Python notebooks for hands-on practice (and corresponding solutions).Carefully selected articles and external references to improve your learning experience.Access to a community forum for discussion and networking with fellow learners.Lifetime access to course materials, including future updates.Embark on this journey to master decision-making using optimization in Python. Whether you aim to advance your career, academically explore operations research, or simply enjoy the thrill of solving complex problems, this course is your gateway to new possibilities.
