Figure 1: Body motion in human gaits. The numerical optimization, unbiased by an expectation of what the optimal gaits might be, has thus discovered the classic gaits that caricature walking and ...

An optimization problem is one where you have to make the best decision (choose the best investments, minimize your company’s costs, find the class schedule with the fewest morning classes, or so on).

We study a class of optimization problems motivated by automating the design and update of AI systems like coding assistants, robots, and copilots. AutoDiff frameworks, like PyTorch, enable efficient ...

This paper presents a numerical comparison between algorithms for unconstrained optimization that take account of sparsity in the second derivative matrix of the objective function. Some of the ...

Today the Numerical Algorithms Group announces the latest version of its flagship software, the NAG Library, Mark 26. In this release, NAG has introduced an Optimization Modeling Suite for linear and ...

Abstract: The main aim for development of small electronic packages is supported by an ongoing development of portable communications devices. Thin silicon dies are believed to improve as device ...