Risultati per
- Real-time planetary mass estimation using (x, v) data.
- Integration into orbital mechanics simulations in MATLAB.
- Potential extensions into astrophysics and engineering models.
- Data-driven planetary modeling in MATLAB.
- Improved sensitivity in detecting small-scale variations not included in standard NASA datasets.
- NASA JPL Horizons (planetary positions & velocities)
- NASA Planetary Fact Sheet (official masses)
- GRACE / GRACE-FO Mission Data (Earth mass loss)
- How to integrate the NKTg model into MATLAB orbital simulations.
- Whether conserved quantities like NKTg1 could provide practical value beyond astronomy (e.g., physics simulations, engineering).
- It's the question that drives us, Neo. It's the question that brought you here. You know the question, just as I did.
- What is the Matlab?
- Unfortunately, no one can be told what the Matlab is. You have to see it for yourself.
- The Matlab is everywhere. It is all around us. Even now, in this very room. You can feel it when you go to work [...]
- The first Matlab I designed was quite naturally perfect. It was a work of art. Flawless. Sublime.
- NKTg₁ = x * p
- NKTg₂ = (dm/dt) * p
- NKTg₁ > 0 → tendency to move away from equilibrium
- NKTg₁ < 0 → tendency to move toward equilibrium
- NKTg₂ > 0 → mass variation supports motion
- NKTg₂ < 0 → mass variation resists motion

- Phase matrix: 571 x 571 (double)
- X data: 571 x 1 (double)
- Y data: 571 x 1 (double)
- How this phase data was likely saved from Zemax into MATLAB?
- What steps or scripts were used to extract this information from the design, particularly the 571 x 571 phase matrix and the corresponding X and Y data?
- Any best practices or tools available in Zemax for exporting such data?

Hello MathWorks Community,
I am excited to announce that I am currently working on a book project centered around Matrix Algebra, specifically designed for MATLAB users. This book aims to cater to undergraduate students in engineering, where Matrix Algebra serves as a foundational element.
Matrix Algebra is not only pivotal in understanding complex engineering concepts but also in applying these principles effectively in various technological solutions. MATLAB, renowned for its powerful computational capabilities, is an excellent tool to explore and implement these concepts, making it a perfect companion for this book.
As I embark on this journey to create a resource that bridges theoretical matrix algebra with practical MATLAB applications, I am looking for one or two knowledgeable individuals who have a firm grasp of both subjects. If you have experience in teaching or applying matrix algebra in engineering contexts and are familiar with MATLAB, your contribution could be invaluable.
Collaborators will help in shaping the content to ensure it is educational, engaging, and technically robust, making complex concepts accessible and applicable for students.
If you are interested in contributing to this project or know someone who might be, please reach out to discuss how we can work together to make this book a valuable resource for engineering students.
Thank you and looking forward to your participation!



