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[BOK][B] Fundamentals of artificial neural networks
MH Hassoun - 1995 - books.google.com
" In Fundamentals of Artificial Neural Networks, Mohamad Hassoun provides the first
systematic account of artificial neural network paradigms by identifying clearly the …
systematic account of artificial neural network paradigms by identifying clearly the …
[BOK][B] Introduction to mechanics and symmetry: a basic exposition of classical mechanical systems
JE Marsden, TS Ratiu - 2013 - books.google.com
Symmetry has always played an important role in mechanics, from fundamental formulations
of basic principles to concrete applications. The theme of the book is to develop the basic …
of basic principles to concrete applications. The theme of the book is to develop the basic …
[BOK][B] Nonholonomic mechanics
AM Bloch, AM Bloch - 2015 - Springer
Nonholonomic systems provide an important class of mechanical control systems. One
reason for this importance is that nonintegrability is essential to both the mechanics and the …
reason for this importance is that nonintegrability is essential to both the mechanics and the …
[BOK][B] Optimization and dynamical systems
U Helmke, JB Moore - 2012 - books.google.com
This work is aimed at mathematics and engineering graduate students and researchers in
the areas of optimization, dynamical systems, control sys tems, signal processing, and linear …
the areas of optimization, dynamical systems, control sys tems, signal processing, and linear …
[BOK][B] Momentum maps and Hamiltonian reduction
The use of the symmetries of a physical system in the study of its dynamics has a long
history that goes back to the founders of c1assical mechanics. Symmetry-based tech niques …
history that goes back to the founders of c1assical mechanics. Symmetry-based tech niques …
The Euler-Poincaré equations and double bracket dissipation
This paper studies the perturbation of a Lie-Poisson (or, equivalently an Euler-Poincaré)
system by a special dissipation term that has Brockett's double bracket form. We show that a …
system by a special dissipation term that has Brockett's double bracket form. We show that a …
Optimizing quantum circuits with Riemannian gradient flow
Variational quantum algorithms are a promising class of algorithms that can be performed
on currently available quantum computers. In most settings, the free parameters of a …
on currently available quantum computers. In most settings, the free parameters of a …
Quantum-classical correspondence for a non-Hermitian Bose-Hubbard dimer
We investigate the many-particle and mean-field correspondence for a non-Hermitian N-
particle Bose-Hubbard dimer where a complex on-site energy describes an effective decay …
particle Bose-Hubbard dimer where a complex on-site energy describes an effective decay …
Nontrivial quantum cellular automata in higher dimensions
We construct a three-dimensional quantum cellular automaton (QCA), an automorphism of
the local operator algebra on a lattice of qubits, which disentangles the ground state of the …
the local operator algebra on a lattice of qubits, which disentangles the ground state of the …
Gradient flows for optimization in quantum information and quantum dynamics: foundations and applications
T Schulte-Herbrüggen, SJ Glaser, G Dirr… - Reviews in …, 2010 - World Scientific
Many challenges in quantum information and quantum control root in constrained
optimization problems on finite-dimensional quantum systems. The constraints often arise …
optimization problems on finite-dimensional quantum systems. The constraints often arise …