A survey on load transportation using multirotor UAVs
Load transportation by quadrotors and similar aircrafts is a topic of great interest to the
robotics community nowadays, most likely due to logistic gains for deliveries of commercial …
robotics community nowadays, most likely due to logistic gains for deliveries of commercial …
A survey on model-based, heuristic, and machine learning optimization approaches in RIS-aided wireless networks
Reconfigurable intelligent surfaces (RISs) have received considerable attention as a key
enabler for envisioned 6G networks, for the purpose of improving the network capacity …
enabler for envisioned 6G networks, for the purpose of improving the network capacity …
JuMP: A modeling language for mathematical optimization
JuMP is an open-source modeling language that allows users to express a wide range of
optimization problems (linear, mixed-integer, quadratic, conic-quadratic, semidefinite, and …
optimization problems (linear, mixed-integer, quadratic, conic-quadratic, semidefinite, and …
[PDF][PDF] Convex optimization
S Boyd - Cambridge UP, 2004 - stanford.edu
Convex optimization problems arise frequently in many different fields. This book provides a
comprehensive introduction to the subject, and shows in detail how such problems can be …
comprehensive introduction to the subject, and shows in detail how such problems can be …
Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones
JF Sturm - Optimization methods and software, 1999 - Taylor & Francis
SeDuMi is an add-on for MATLAB, which lets you solve optimization problems with linear,
quadratic and semidefiniteness constraints. It is possible to have complex valued data and …
quadratic and semidefiniteness constraints. It is possible to have complex valued data and …
[BOOK][B] Disciplined convex programming
A new methodology for constructing convex optimization models called disciplined convex
programming is introduced. The methodology enforces a set of conventions upon the …
programming is introduced. The methodology enforces a set of conventions upon the …
Toward dual-functional radar-communication systems: Optimal waveform design
We focus on a dual-functional multi-input-multi-output (MIMO) radar-communication
(RadCom) system, where a single transmitter with multiple antennas communicates with …
(RadCom) system, where a single transmitter with multiple antennas communicates with …
Graph implementations for nonsmooth convex programs
We describe graph implementations, a generic method for representing a convex function
via its epigraph, described in a disciplined convex programming framework. This simple and …
via its epigraph, described in a disciplined convex programming framework. This simple and …
A sparse signal reconstruction perspective for source localization with sensor arrays
We present a source localization method based on a sparse representation of sensor
measurements with an overcomplete basis composed of samples from the array manifold …
measurements with an overcomplete basis composed of samples from the array manifold …
Convex relaxation of optimal power flow—Part I: Formulations and equivalence
SH Low - IEEE Transactions on Control of Network Systems, 2014 - ieeexplore.ieee.org
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow
(OPF) problem, focusing on structural properties rather than algorithms. Part I presents two …
(OPF) problem, focusing on structural properties rather than algorithms. Part I presents two …