solid-docs VS prima

React has introduced measures like batching state updates, background concurrent rendering and memoization to tackle this. My opinion is that the best way to solve the problem is by improving their reactivity model. The app needs to be able to track the code that should be re-run on updating a given state variable and specifically update the UI corresponding to this update. Tools like solid.js and svelte work in this manner. It also eliminates the need for a virtual DOM and diffing.

Similarly to Promises/A+, this effort focuses on aligning the JavaScript ecosystem. If this alignment is successful, then a standard could emerge, based on that experience. Several framework authors are collaborating here on a common model which could back their reactivity core. The current draft is based on design input from the authors/maintainers of Angular, Bubble, Ember, FAST, MobX, Preact, Qwik, RxJS, Solid, Starbeam, Svelte, Vue, Wiz, and more…

Solid.js is a very performant web framework that shares some similarities with React. For example, both use JSX, utilizing the function-based approach to components, but instead of using Virtual DOM, it converts your code to vanilla JS. Still, it is more famous for its approach to fine-grained reactivity by utilizing signals, memos, and effects. Still, the signal is the simplest and most known primitive of Solid. They contain value along with their getter and setter functions, allowing the framework to observe and update the changes as needed in the exact location in the DOM, unlike React, which re-renders the whole component.

Two well-known JavaScript frameworks and libraries used for creating user interfaces are React.js and Solid.js. Solid.js, a lightweight reactive library, prioritizes fine-grained reactivity and efficient rendering through a reactive programming model. However, React.js, which was developed by Facebook, is well known for its declarative architecture based on components and its handling of the virtual DOM (Document Object Model). Different approaches to state management and reactivity set these tools apart, even though they both enable developers to create dynamic and interactive web apps.

Solid.js like Svelte is quite new when compared to React, Angular, and Vue however it might be that pocket Hercules we've all been ignoring because we are so addicted to other frameworks. Solid.js is an interesting framework that deserves to be a part of this discussion. Solid.js pioneered the concept of signals when other Javascript frameworks made reactivity and state management a nightmare for developers, a factor that has contributed to the growth of Solid. Solid.js is incredibly easy to adopt and it aims for a simpler syntax and learning curve compared to other frameworks. It emphasizes the use of pure Javascript functions and avoids concepts like hooks.

React Server Components are the poster child for that trend, but other frameworks such as Solid or Qwik rethink client-server interactions from the ground up.

If you aren't married to the react paradigm, I had a great time with solid.

Frontend : SolidJs.

The developer of PRIMA here.

If you use method "cobyla" from scipy.optimize.minimize, then PRIMA already performs far better (in terms of the number of function evaluations). See the comparison at https://github.com/libprima/prima#improvements .

The bugs are indeed only a secondary reason: they can only be triggered under special situations. They may not affect your usage at all (when it does affect you, the consequence is catastrophophic).

1. nagfor Release 7.1(Hanzomon) Build 7149 released on March 5, 2024, fixed all the bugs spotted, but introduced an ICE when compiling PRIMA ( http://www.libprima.net ). The ICE has nothing to do with half-precision real, because it occurs when PRIMA is configured to use single or double precision. It can be reproduced by

```

git clone https://github.com/libprima/prima.git && cd prima && git checkout ec42cb0 && cd fortran/examples/lincoa && make ntest

```

2. nagfor 7.2 released on 6 March, 2024 included neither the ICE nor the fixes for the bugs.

My goal is to rewrite this library for derivative-free optimization: https://github.com/libprima/prima

A native port is indeed planned. However, since we are talking about a project of about 10K lines of code, such a port will not be delivered very soon.

In fact, native implementations of PRIMA in Python, MATLAB, C++, Julia, and R will all be done in the future. See https://github.com/libprima/prima#other-languages . But it takes time. PRIMA has been a one-man project since it started three yearss ago. Community help is greatly needed.

Thanks.

GitHub repo of the project: https://github.com/libprima/prima

It sounds like this was a difficult task. The motivation to fulfill Prof. Powell's request and help the community of derivative-free optimization users must have been strong. Congratulations on your achievement!

From the GitHub README:

> In the past years, while working on PRIMA, I have spotted a dozen of bugs in reputable Fortran compilers and two bugs in MATLAB. Each of them represents days of bitter debugging, which finally led to the conclusion that it was not a problem in my code but a flaw in the Fortran compilers or in MATLAB. From a very unusual angle, this reflects how intensive the coding has been.

> The bitterness behind this "fun" fact is exactly why I work on PRIMA: I hope that all the frustrations that I have experienced will not happen to any user of Powell's methods anymore. I hope I am the last one in the world to decode a maze of 244 GOTOs in 7939 lines of Fortran 77 code — I have been doing this for three years and I do not want anyone else to do it again.

https://github.com/libprima/prima#a-fun-fact