Here we show that stochastic gradient descent (SGD) and branch-and-bound maximum likelihood optimization algorithms permit the major steps in cryo-EM structure determination to be performed in ...

The Quantum Information Recursive Optimization (QIRO) algorithm is an optimization ... This supports efforts to study graph structures and analyze network characteristics, further proving the ...

“We managed to provide a general algorithm for crystal structure prediction that can ... positions in the continuous space using strong optimization methods in a discrete space.

The user needs to choose the optimizer, and the application characteristics should drive the optimization algorithm selection ... appropriately combining the desirables and undesirables to structure ...

He is especially interested in developing novel algorithms that leverage high-fidelity computational models and topology optimization methods for conceptual design and synthesis of complex engineering ...

On the 8th of December 2021, M.Sc. Kari Rantanen will defend his doctoral thesis on Optimization Algorithms for Learning Graphical Model Structures. The thesis a part of research done in the ...

Most optimization algorithms are based on quadratic approximations to nonlinear ... The following should be taken into account: First, the structure of the problem has to be considered: Is it ...

This approach improves upon two key aspects: circuit design and optimization algorithms. In terms of circuit design, the technology adopts a streamlined quantum circuit structure, reducing the ...