Abstract: This paper presents a comparative study on the performance of density-based topology optimization using different gradient-based solvers. Three common solvers are employed: the method of ...
Abstract: As technology scales to smaller nanometer nodes, Electromigration (EM) has become one of the most significant challenges in the EDA industry. Due to the reduction of the interconnect ...
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...