Results 21 to 30 of about 5,251,071 (187)
Compact manifolds with computable boundaries [PDF]
We investigate conditions under which a co-computably enumerable closed set in a computable metric space is computable and prove that in each locally computable computable metric space each co-computably enumerable compact manifold with computable boundary is computable.
arxiv +1 more source
GCM solver (ver. 3.0): a {\it Mathematica} notebook for diagonalization of the Geometric Collective Model (Bohr hamiltonian) with generalized Gneuss-Greiner potential [PDF]
The program diagonalizes the Geometric Collective Model (Bohr Hamiltonian) with generalized Gneuss–Greiner potential with terms up to the sixth power in β . In nuclear physics, the Bohr–Mottelson model with later extensions into the
Ferrari-Ruffino, Fabrizio+1 more
core +1 more source
Quantum Computation and Quantum Information: Bibliography
Preface Acknowledgement Nomenclature and notation Part I. Fundamental Concepts: 1. Introduction and overview 2. Introduction to quantum mechanics 3. Introduction to computer science Part II. Quantum Computation: 4. Quantum circuits 5. The quantum Fourier
Nikolay Raychev, I. Chuang
semanticscholar +1 more source
Efficient computation of CMB anisotropies in closed FRW models [PDF]
We implement the efficient line-of-sight method to calculate the anisotropy and polarization of the cosmic microwave background for scalar and tensor modes in almost Friedmann-Robertson-Walker models with positive spatial curvature.
A. Lewis, A. Challinor, A. Lasenby
semanticscholar +1 more source
Acknowledgement to Reviewers of Computation in 2018
Rigorous peer-review is the corner-stone of high-quality academic publishing [...]
Computation Editorial Office
doaj +1 more source
Bayes' Theorem (BT) is treated in probability theory and statistics. The BT shows how to change the probabilities a priori in view of new evidence, to obtain probabilities a posteriori. With the Bayesian interpretation of probability, the BT is expressed
Rui Assis+2 more
doaj +1 more source
Introduction to the theory of neural computation
From the Publisher: This book is a comprehensive introduction to the neural network models currently under intensive study for computational applications.
J. Hertz, A. Krogh, R. Palmer
semanticscholar +1 more source
Acknowledgement to Reviewers of Computation in 2014
The editors of Computation would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2014:[...]
Computation Editorial Office
doaj +1 more source
A bridging model for parallel computation
The success of the von Neumann model of sequential computation is attributable to the fact that it is an efficient bridge between software and hardware: high-level languages can be efficiently compiled on to this model; yet it can be effeciently ...
L. Valiant
semanticscholar +1 more source
Elementary gates for quantum computation. [PDF]
We show that a set of gates that consists of all one-bit quantum gates (U(2)) and the two-bit exclusive-or gate (that maps Boolean values (x,y) to (x,x ⊕y)) is universal in the sense that all unitary operations on arbitrarily many bits n (U(2 n )) can be
A. Barenco+8 more
semanticscholar +1 more source