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 ...

In this paper, a new evolutionary algorithm referred to as importance search algorithm (ISA) is designed to solve global numerical optimization problems with continuous variables. The proposed ...

Learn how to design and implement numerical optimization experiments and tests for your numerical problems using basic principles and tools.

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 ...

Numerical code is often applied in the safety-critical, but resource-limited areas. Hence, it is crucial for it to be correct and efficient, both of which are difficult to ensure. On one hand, ...

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 ...

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 ...