Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Robotic systems in unstructured environments must cope with unknown, unpredictable, and dynamic situations. Inherent uncertainty, and limited sensor accuracy and reliability impede target recognition ...

In this paper, backstepping for a class of block strict-feedback nonlinear systems is considered. Since the input function could be zero for each backstepping step, the backstepping technique cannot ...

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac {1} {2}x^TQx + c^Tx \qquad \textrm {s.t.}~ \quad L \leq Ax ...

Using Linear Graph Theory and the Principle of Orthogonality to Model Multibody, Multi-Domain Systems ...

Title Symbolic Programming of a Graph-Theoretic Approach to Flexible Multibody Dynamics ...

Graph Algorithms for Integrated Biological Analysis, with Applications to Type 1 Diabetes Data (J D Eblen et al.) A Novel Similarity-based Modularity Function for Graph Partitioning (Z Feng et al.) ...

statistics matlab linear-algebra solver openmp matrix-factorization matrix-functions scientific-computing expression-template gaussian-mixture-models armadillo blas math-library lapack ...