Gradient descent is a widely used paradigm for solving many optimization problems. Gradient descent aims to minimize a target function in order to reach a local minimum. In machine learning or data ...

This paper presents a robust quaternion based filter approach to estimate orientation from Magnetic Angular Rate Gravity (MARG)-sensors. These sensors consist of tri-axis accelerometer and gyroscope ...

python optimization matlab constrained-optimization numerical-optimization nonlinear-optimization unconstrained-optimization prima powell blackbox-optimization modern-fortran cobyla ...