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Variant Construction from Theoretical Foundation to Applications
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Enumerative Coding for Line Polar Grassmannians with applications to codes
A $k$-polar Grassmannian is the geometry having as pointset the set of all $k$-dimensional subspaces of a vector space $V$ which are totally isotropic for a given non-degenerate bilinear form $\mu$ de...
View Book →A recursive algorithm for multivariate risk measures and a set-valued Bellman's principle
A method for calculating multi-portfolio time consistent multivariate risk measures in discrete time is presented. Market models for $d$ assets with transaction costs or illiquidity and possible tradi...
View Book →Comparison of the speedy estimate methods of the induction motors
This paper deals with a novel method to achieve the effective performance of the extended Kalman filter (EKF) for the speedy estimate of an induction motor. The real coding genetic algorithm (GA) is u...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Understanding Machine Learning
From Theory to Algorithms...
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Defense against the Black Arts
How Hackers Do What They Do and How to Protect against It...
View Book →Multilinear PageRank
In this paper, we first extend the celebrated PageRank modification to a higher-order Markov chain. Although this system has attractive theoretical properties, it is computationally intractable for ma...
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MLPnP - A Real-Time Maximum Likelihood Solution to the Perspective-n-Point Problem
In this paper, a statistically optimal solution to the Perspective-n-Point (PnP) problem is presented. Many solutions to the PnP problem are geometrically optimal, but do not consider the uncertaintie...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
View Book →Exponentially small splitting of separatrices and transversality associated to whiskered tori with q
The splitting of invariant manifolds of whiskered (hyperbolic) tori with two frequencies in a nearly-integrable Hamiltonian system, whose hyperbolic part is given by a pendulum, is studied. We conside...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Foundations of Machine Learning
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Linear Selection Indices in Modern Plant Breeding
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
View Book →Wick Rotation in the Tangent Space
Wick rotation is usually performed by rotating the time coordinate to imaginary values. In a general curved spacetime, the notion of a time coordinate is ambiguous. We note here, that within the tetra...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Non-distributional Word Vector Representations
Data-driven representation learning for words is a technique of central importance in NLP. While indisputably useful as a source of features in downstream tasks, such vectors tend to consist of uninte...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Viral vectors for gene therapy
First published in 2011...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Central-moment description of polarization for quantum states of light
We present a moment expansion method for the systematic characterization of the polarization properties of quantum states of light. Specifically, we link the method to the measurements of the Stokes o...
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Non-viral vectors for gene therapy
First published in 2005...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Optimization by Vector Space Methods
First published in 1968...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Hydrodynamics and vector field theory
First published in 1962...
View Book →Multiphysics Finite Element Methods for a Poroelasticity Model
This paper concerns with finite element approximations of a quasi-static poroelasticity model in displacement-pressure formulation which describes the dynamics of poro-elastic materials under an appli...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Biodiversity and Health in the Face of Climate Change
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
View Book →Fat-tailed distribution derived from first eigenvector of symmetric random sparse matrix
Many solutions for scientific problems rely on finding the first (largest) eigenvalue and eigenvector of a particular matrix. We explore the distribution of the first eigenvector of a symmetric random...
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
View Book →Global and local condensate and superfluid fraction of a few hard core bosons in a cubic optical lat
We explore the global and local condensate and superfluid (SF) fractions in a system of a few hard core (HC) bosons (N=8 and N=40) trapped inside a combined harmonic optical cubic lattice (CHOCL) at T...
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Approximate Bayesian Computation by Modelling Summary Statistics in a Quasi-likelihood Framework
Approximate Bayesian Computation (ABC) is a useful class of methods for Bayesian inference when the likelihood function is computationally intractable. In practice, the basic ABC algorithm may be inef...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Modern methods in topological vector spaces
First published in 1978...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Algorithms for Decision Making
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Algorithmic Graph Theory and Sage
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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MonoGame Role-Playing Game Development Succinctly
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Solving PDEs in Python
The FEniCS Tutorial I...
View Book →Classical and Quantum Mechanical Motion in Magnetic Fields
We study the motion of a particle in a particular magnetic field configuration both classically and quantum mechanically. For flux-free radially symmetric magnetic fields defined on circular regions, ...
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A univariate time varying analysis of periodic ARMA processes
The standard approach for studying the periodic ARMA model with coefficients that vary over the seasons is to express it in a vector form. In this paper we introduce an alternative method which views ...
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Anisotropy Across Fields and Scales
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
View Book →A Faster Algorithm for Asymptotic Communication for Omniscience
We propose a modified decomposition algorithm (MDA) to solve the asymptotic communication for omniscience (CO) problem where the communication rates could be real or fractional. By starting with a low...
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A new series of large sets of subspace designs over the binary field
In this article, we show the existence of large sets $\operatorname{LS}_2[3](2,k,v)$ for infinitely many values of $k$ and $v$. The exact condition is $v \geq 8$ and $0 \leq k \leq v$ such that for th...
View Book →Bayesian model selection for electromagnetic kaon production on the nucleon
We present the results of a Bayesian analysis of a Regge model to describe the background contribution for K+ Lambda and K+ Sigma0 photoproduction. The model is based on the exchange of K+(494) and K*...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
View Book →Computing singularities of perturbation series
Many properties of current \emph{ab initio} approaches to the quantum many-body problem, both perturbational or otherwise, are related to the singularity structure of Rayleigh--Schr\"odinger perturbat...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Pest and vector control
First published in 2004...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Theoretical determination of the hadronic (g-2) of the muon
An approach is discussed on the determination of the leading order hadronic contribution to the muon anomaly, $a_\mu^{HAD}$, based entirely on theory. This method makes no use of $e^+ e^-$ annihilatio...
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The molecular biology of insect disease vectors
First published in 1997...
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Signal Computing
Digital Signals in the Software Domain...
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Representation Learning for Natural Language Processing
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Engineering Mechanics: Statics
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Bayesian Methods in the Search for MH370
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Software for Exascale Computing - SPPEXA 2016-2019
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Forecasting Aggregated Vector ARMA Processes
First published in 1987...
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Tensor and vector analysis
First published in 1998...
View Book →Vector methods applied to differential geometry, mechanics and potential theory
First published in 1943...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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An introduction to support vector machines
First published in 2000...
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