This code uses the Batch Gradient Descent method. Gradient descent is a fundamental optimization technique used in training a wide range of machine learning models, including linear regression, ...

Learn how to write a linear equation from a word problem in six easy steps. Find out how to identify the variables, slope, and y-intercept, and check your answer.

To address these problems, herein, a linear location method based on the two-point magnetic gradient full tensor is proposed. Moreover, the principle of single-point magnetic gradient full tensor ...

The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. We will first learn to implement ...

This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...

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 ...

Abstract In this work, we present the solution of a class of linear inverse heat conduction problems for the estimation of unknown heat source terms, with no prior information of the functional forms ...

Special cases include the Black–Scholes equation and the Hamilton–Jacobi–Bellman equation. To do so, we make use of the reformulation of these PDEs as backward stochastic differential equations (BSDEs ...

To address these problems, herein, a linear location method based on the two-point magnetic gradient full tensor is proposed. Moreover, the principle of single-point magnetic gradient full tensor ...