Exact methods for solving the The Minimum-Cost Bounded-Error Calibration Tree problem
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Updated
Aug 22, 2020 - C++
Exact methods for solving the The Minimum-Cost Bounded-Error Calibration Tree problem
A C++ library for solving constrained optimization problems using an SQP algorithm. Uses OSQP for solving the quadratic subproblems.
🔍 Extract z/OS control block data easily with CBXP, a standardized interface for accessing vital in-memory structures using industry-standard tools.
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A C++ porting of Frank E. Curtis's penalty-interior-point algorithm for nonlinear constrained optimization
This package provides the core C++ library of giskard, a constraint and optimization-based framework for robot motion control.
A C++ library to compute High Order Impedance Boundary Condition coefficients.
A lightweight, Augmented Lagrangian based quadratic program (QP) solver for Arduino Applications.
Constrained multi-objective derivative-free global solver
Leopard is a fast, modern implementation of sparse, multifrontal symmetric indefinite matrix factorization.
Trajectory Optimization using Augment Lagrangian and iLQR
Library for nonconvex constrained optimization using the augmented Lagrangian method and the matrix-free PANOC algorithm.
Powerful and scalable black-box optimization algorithms for Python and C++.
L-BFGS-B as a C++ header-only library
Derivative-free nonlinear global optimizer with python interface
Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".
Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control
A compact Constrained Model Predictive Control (MPC) library with Active Set based Quadratic Programming (QP) solver for Teensy4/Arduino system (or any real time embedded system in general)
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