Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

In order to work with gradients and straight lines successfully, a good understanding of coordinates and linear graphs is needed. The gradient of a line is calculated by dividing the difference in the ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Abstract: Series-compensated power transmission lines are integral to modern power grids and enhance the system reliability and stability. However, they introduce challenges such as voltage inversion, ...

2D irregular packing is a classic combinatorial optimization problem with various applications, such as material utilization and texture atlas generation. Due to its NP-hard nature, conventional ...

Abstract: This paper investigates the application of the gradient descent method in moving horizon state estimation for discrete-time nonlinear systems with line-search optimization based on a reduce ...

An advanced gradient descent algorithm implementation for optimizing autonomous drone fleet coverage over dynamic probability maps. This system simulates multiple drones working collaboratively to ...