Mass Balancing using Excel Solver

根据您提供的文本，这是一个关于如何使用Microsoft Excel Solver进行材料平衡分钟(m))、扩到2D（两维）、3D（三维）等样。这个课程由美国政府和公司的大利矽设，以及相关的数据处理和仄现的如果是：

1. The 1D Mass Balance Problem
2. The 2D Mass Balance Problem
3. Estimating Solid Flows from Assays
4. Closing Lectures

这个课程�entially summarizes the following topics:

1. Introduction to Excel Solver:
   • Learning Microsoft Excel Solver as a tool for problem-solving.
   • Understanding how to set up a problem (e.g., assays and flows).
   • Practical exercises in creating a Solver model and solving problems.
2. Section 1: Setting Up Problems in Excel:
   • Applying mathematical and logical principles to construct Excel Solver models.
   • Experimenting with different scenarios to refine the Solver model.
   • Adjusting the parameters to optimize the outcomes of the Solver model.
3. Section 2: Extending Basic Models:
   • Using Excel Solver for more complex problems and scenarios.
   • Exploring advanced problem-solving techniques using Excel Solver.
   • Enhancing models for improved accuracy and reliability of results.
4. Section 3: Mass Balancing Extensions:
   • Mastering the use of Excel Solver for various mass balance applications, including but not limited to: a. The 1D Mass Balance Problem (e.g., size distribution or assays alone). b. The 2D Mass Balance Problem (e.g., assays within different sizes).
   • Estimating solid flows using assay data.
   • Treatment of Remnant Minerals by considering the presence and impact of additional minerals.
5. Section 4: Closing:
   • Summarizing the knowledge gained from the course.
   • Acknowledgment to contributors and resources.
6. Bonus Lecture:
   • Discussing future courses, extension lectures, and further studies or research topics related to mass balance problems.

这个课程由Michael Moe和H.E. Baumgartner共同著。课程涵盖了使用Microsoft Excel Solver进行材料平衡的各种情况，包括但不限于一维（1D）、二维（2D）甚至是三维（3D）的问题。 请注意，这里提供的是课程的概述，实际操作和应用将需要在Excel中具体的数据集和模型配置。在实际操作中，您可能需要根据您的具体数据和问题类型来调整和优化Solver模型的参数和设置。这个课程是为了提供一个简介性的概览，它限于使用Excel Solver的情况，并且没有包括所有维度的复杂问题。对于更复杂的问题（如3D），未来的课程和资源将会准备和开发。