Comments (1)
Given:
ai <= xi <= bi
Split it in two inequations:
ai <= xi
xi <= bi
Swap left and right sides and change <=
to >=
:
xi >= ai
bi >= xi
Move ai
to the left side in the first inequality and xi
to the left side in the second equality:
xi - ai >= 0
-xi + bi >= 0
You can find how to specify the last two inequations as constraints in QuadProg++.hh and main.cc.
from quadprogpp.
Related Issues (18)
- How does this solver perform on large sparse problems? HOT 2
- function call issue HOT 6
- getting wrong result HOT 2
- still the problem with equality constraints HOT 2
- The operator "*" of matrix is not correct, in Array.h HOT 2
- wrong value and Cholesky decomposition HOT 2
- code stuck in loop HOT 1
- error in cholesky decomposition HOT 3
- I don't wanna use the '='. How do this? HOT 1
- Optimal Solution Found Exit HOT 1
- Speed comparison with quadprog from python HOT 1
- Please make the default build type "Release" HOT 1
- apt package
- i need help HOT 1
- is this library supports multithreading?
- Optimization without equality constraints HOT 3
- Using QuadProgpp with Eigen? HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from quadprogpp.