计算神经科学：在宾夕法尼亚大学教授的关于计算和理论神经科学的短期本科课程。 介绍MATLAB中的编程，单神经元模型，离子通道模型，基本神经网络和神经解码的编程

This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.

Pyomo-Optimization-Modeling-in-Python.pdf

The book is designed for a two-course sequence in stochastic models. The first six chapters can form the first course, and the last four chapters, the second course. The book uses a large number of examples to illustrate the concepts as well as computational tools and typical applications. Each chapter also has a large number of exercises collected at the end.

Mathematical-modeling-of-Huawei-cup:2020年第17届华为杯数学建模一等奖解决方案

Eclipse Modeling Framework (EMF) 开发指南

EMF Eclipse Modeling Framework 2nd Edition.pdf,好书啊，不过不可以用于商业目的，仅为学习使用

Modeling Fracture and Failure with Abaqus，是用abaqus学习断裂的好资源

分层潜在Dirichlet分配 分层潜在狄利克雷分配（hLDA）解决了从数据中学习主题层次结构的问题。 该模型依赖于称为嵌套中国餐厅过程的非参数先验，该过程允许任意大的分支因子，并可以轻松容纳不断增长的数据收集。 hLDA模型将此先验与基于潜在Dirichlet分配的分层变体的可能性相结合。 执行 是用于hLDA推断的Gibbs采样器，基于的实现，在nCRP树上具有固定的深度。 安装 只需使用pip install hlda即可安装该软件包。 可以在找到一个示例笔记本，该笔记本可以推断BBC Insight语料库上的层次结构主题。

基于图像的建模，三维重建方面顶级教授的书籍，文字版。绝对良心