Solid Modeling and Applications - Rapid Prototyping, CAD and CAE Theory: https://link.springer.com/book/10.1007/978-3-319-74594-7
https://github.com/xibyte/jsketcher
https://github.com/tmpvar/2d-constraints-bfgs
https://github.com/mimno/jsLBFGS (https://en.wikipedia.org/wiki/Limited-memory_BFGS)
https://github.com/croquelois/bfgs-numericjs
https://github.com/optimization-js/optimization-js
Advanced Gear Engineering: https://link.springer.com/book/10.1007/978-3-319-60399-5
Designing with Computational Intelligence: https://link.springer.com/book/10.1007/978-3-319-44735-3
Learn Keras for Deep Neural Networks: https://link.springer.com/book/10.1007/978-1-4842-4240-7
Introduction to Python for Engineers and Scientists: https://link.springer.com/book/10.1007/978-1-4842-3204-0
Practical Python AI Projects - Mathematical Models of Optimization Problems with Google OR-Tools: https://link.springer.com/book/10.1007/978-1-4842-3423-5
Deep Learning with Applications Using Python: https://link.springer.com/book/10.1007/978-1-4842-3516-4
Mastering Machine Learning with Python in Six Steps: https://link.springer.com/book/10.1007/978-1-4842-2866-1
Deep Learning with Python: https://link.springer.com/book/10.1007/978-1-4842-2766-4
Modelica Specification 3.4.pdf
Introduction to Physical Modeling with Modelica: https://link.springer.com/book/10.1007/978-1-4615-1561-6
Bond Graph Modelling of Engineering Systems: https://link.springer.com/book/10.1007/978-1-4419-9368-7
Mechatronics by Bond Graphs An Object-Oriented Approach to Modelling and Simulation: https://link.springer.com/book/10.1007/978-3-662-49004-4