Abstract: Diverse inverse problems in imaging can be cast as variational ... for which we derive the adjoint state equations and an optimality condition. By exploiting the variational structure of our ...

It is inspired by the iconic MATLAB Spot – A Linear-Operator Toolbox project. Linear operators and inverse problems are at the core ... size—but whose operations can be described by simple functions.

Mathematical proofs are omitted since excellent monographs already exist dealing with these aspects of the inverse problems. The emphasis here is on finding numerical solutions to complicated ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Compete with an incumbent, with Linear COO Cristina Cordova at TechCrunch Sessions: AI on June 5 in UC Berkeley's Zellerbach ...

Kirigami is a traditional Japanese art form that entails cutting and folding paper to produce complex three-dimensional (3D) ...

As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

The Linear light intends to bring calm to the workplace ... designs with beauty and meaning that transcend their practical function to become works of art," she added. The Linear light is designed ...

Abstract: Several different techniques have appeared in the magnetoencephalography (MEG) literature for solving the ambiguous inverse problem. We show that if the same second order statistics are ...