Linear-Regression-Using-Gradient-Descent Gradient descent is an optimization algorithm used in Machine Learning and Deep Learning to minimize a cost function or loss function. The goal of gradient ...

Presently used magnetic target location methods are greatly affected by geomagnetism and involve complex solution processes. To address these problems, herein, a linear location method based on the ...

The sixth step is to practice more problems to improve your skills and confidence in writing linear equations from word problems. You can find more examples and exercises online or in your textbook.

Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data. A linear regression line has an equation of the form Y = a + bX, where X is ...

In talk, we will discuss a proximal gradient algorithm for feedback controls of finite-time horizon stochastic control problems. The state dynamics are continuous time nonlinear diffusions with ...

Alifanov suggested and developed the iterative regularisation method (Alifanov 1974; Alifanov et al., 1995). In this approach an optimisation problem is solved, with the conjugate gradient method for ...

Presently used magnetic target location methods are greatly affected by geomagnetism and involve complex solution processes. To address these problems, herein, a linear location method based on the ...