modeling   14244

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NgRx - Reactive State Management for Angular
NgRx Store provides reactive state management for Angular apps inspired by Redux. Unify the events in your application and derive state using RxJS.
Angular  reactive-programming  modeling  opensource  Rx 
9 hours ago by liqweed
Day.js -Iimmutable date library alternative to Moment.js
A minimalist JavaScript library that parses, validates, manipulates, and displays dates and times for modern browsers with a largely Moment.js-compatible API.
JS  time  modeling  parser  opensource 
yesterday by liqweed
Mini - Minimal Kotlin and flux architecture
A minimal Flux architecture written in Kotlin that also adds a mix of useful features to build UIs fast.

You should use this library if you aim to develop a reactive application with good performance (no reflection using code-gen). Feature development using Mini is fast compared to traditional architectures (like CLEAN or MVP), low boilerplate and state based models make feature integration and bugfixing easy as well as removing several families of problems like concurrency or view consistency across screens.
Kotlin  reactive-programming  modeling  Android 
yesterday by liqweed
Klock - Date and time utilities for Kotlin
A Date & Time library for Multiplatform Kotlin 1.3.

It is designed to be as allocation-free as possible using Kotlin inline classes, to be consistent and portable across targets since all the code is written in Common Kotlin, and to provide an API that is powerful, fun and easy to use.
Kotlin  time  modeling  opensource 
yesterday by liqweed
Storm -- A Modern Probabilistic Model Checker -- Home
"Storm is a tool for the analysis of systems involving random or probabilistic phenomena. Given an input model and a quantitative specification, it can determine whether the input model conforms to the specification. It has been designed with performance and modularity in mind. "
statistics  modeling 
5 days ago by tsuomela
kkpmo
KK Produkcja Mikroantriebe Producer of small pinion, spur gears, gearboxes, car system parts and other.
micro_rc  modeling  1:87  shop  online 
7 days ago by yaro_b
Visualize the Business Value of your Predictive Models with modelplotr
Build plots in R to evaluate the business value of predictive models built with mlr or caret.
modeling  r  python  test  roc 
8 days ago by mjlassila
libfive
libfive is a software library and set of tools for solid modeling, especially suited for parametric and procedural design.
tool  3d  modeling  scheme 
8 days ago by zhouyiwan
[1807.10489] Randomized residual-based error estimators for parametrized equations
We propose a randomized a posteriori error estimator for reduced order approximations of parametrized (partial) differential equations. The error estimator has several important properties: the effectivity is close to unity with prescribed lower and upper bounds at specified high probability; the estimator does not require the calculation of stability (coercivity, or inf-sup) constants; the online cost to evaluate the a posteriori error estimator is commensurate with the cost to find the reduced order approximation; the probabilistic bounds extend to many queries with only modest increase in cost. To build this estimator, we first estimate the norm of the error with a Monte-Carlo estimator using Gaussian random vectors whose covariance is chosen according to the desired error measure, e.g. user-defined norms or quantity of interest. Then, we introduce a dual problem with random right-hand side the solution of which allows us to rewrite the error estimator in terms of the residual of the original equation. In order to have a fast-to-evaluate estimator, model order reduction methods can be used to approximate the random dual solutions. Here, we propose a greedy algorithm that is guided by a scalar quantity of interest depending on the error estimator. Numerical experiments on a multi-parametric Helmholtz problem demonstrate that this strategy yields rather low-dimensional reduced dual spaces.
numerical-methods  approximation  rather-interesting  to-understand  modeling  algorithms  to-write-about 
9 days ago by Vaguery
AC3D - Easy to use 3D software
Create models with our easy to use 3D software for: games, virtual reality and flight simulation, scientific, medical and general data visualisation, rapid prototypes of 3D designs, 3D printing, Google Earth, X-Plane, Second Life and much more...
3d  modeling  graphics  software  windows  linux  macos 
10 days ago by shannonlucas
An introduction to approachable threat modeling – Increment: Security
Threat modeling is one of the most important parts of the everyday practice of security, at companies large and small. It’s also one of the most commonly misunderstood. via Pocket
IFTTT  Pocket  modeling  security  threat 
11 days ago by ChristopherA

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