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Variant Construction from Theoretical Foundation to Applications
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NASA Technical Reports Server (NTRS) 19810006182: Finite difference grid generation by multivariate
The General Interpolants Method (GIM) code which solves the multidimensional Navier-Stokes equations for arbitrary geometric domains is described. The geometry module in the GIM code generates two and...
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Generalized hybrid iterative methods for large-scale Bayesian inverse problems
We develop a generalized hybrid iterative approach for computing solutions to large-scale Bayesian inverse problems. We consider a hybrid algorithm based on the generalized Golub-Kahan bidiagonalizati...
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Modeling of Reference Crop Evapotranspiration in Wet and Dry Climates Using Data-Mining Methods and
In the present study, performance of data-mining methods in modeling and estimating reference crop evapotranspiration (ET o ) is investigated. To this end, different machine learning, including Artifi...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Tensor Network Contractions
Methods and Applications to Quantum Many-Body Systems...
View Book →Wide Ruled Composition Notebook 6 X 9 . 120 Pages
First published in 2018...
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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 →An approach to measuring consistency of preference vector derivations using least square distance
First published in 1986...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Regression Models for Data Science in R
A companion book for the Coursera Regression Models class...
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Signal Computing
Digital Signals in the Software Domain...
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Linear Selection Indices in Modern Plant Breeding
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Distributed Quantization for Compressed Sensing
We study distributed coding of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a distributed framework for realizing optimized quantizer that enables encoding CS measureme...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Inorganic Constituents in Soil
Basics and Visuals...
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Decompositions of steenrod squares and vector fields on manifolds
First published in 1974...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Statistical Learning and Sequential Prediction
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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The geometry of finite dimensional algebras with vanishing radical square
Let $\Lambda$ be a basic finite dimensional algebra over an algebraically closed field, with the property that the square of the Jacobson radical $J$ vanishes. We determine the irreducible components ...
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Biodiversity and Health in the Face of Climate Change
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Hardy Inequalities on Homogeneous Groups
100 Years of Hardy Inequalities...
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Linear family of Lie brackets on the space of matrices $Mat(n\times m,\K)$ and Ado's Theorem
In this paper we classify a linear family of Lie brackets on the space of rectangular matrices $Mat(n\times m,\K)$ and we give an analogue of the Ado's Theorem. We give also a similar classification o...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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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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Asymptotic results for random coefficient bifurcating autoregressive processes
The purpose of this paper is to study the asymptotic behavior of the weighted least square estimators of the unknown parameters of random coefficient bifurcating autoregressive processes. Under suitab...
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Motivational Profiles in TIMSS Mathematics
Exploring Student Clusters Across Countries and Time...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Least squares support vector machines
First published in 2002...
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Understanding Machine Learning
From Theory to Algorithms...
View Book →Unbiasedness of predictions from estimated vector autoregressions
First published in 1983...
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Statistical analysis of trajectories on Riemannian manifolds: Bird migration, hurricane tracking and
We consider the statistical analysis of trajectories on Riemannian manifolds that are observed under arbitrary temporal evolutions. Past methods rely on cross-sectional analysis, with the given tempor...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
View Book →Wave front set of solutions to sums of squares of vector fields
First published in 2012...
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An Anthology of London in Literature, 1558-1914
Flower of Cities All...
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DTIC ADA1023235: The Equivalence of Linearly Constrained Optimum Array Weight Vectors under Differen
The performance of arrays of receivers can be improved by optimisation of the weighting vectors used to form the output beams. Three optimisation criteria are considered: minimisation of total output ...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Comparative analysis of wind speed prediction: enhancing accuracy using PCA and linear regression vs
For power systems with significant wind power integration to operate in an efficient and dependable manner, wind speed prediction accuracy is crucial. Factors such as temperature, humidity, air pressu...
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Emerging States and Economies
Their Origins, Drivers, and Challenges Ahead...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning.
This article is from Sensors (Basel, Switzerland) , volume 12 . Abstract The paper presents an indoor navigation solution by combining physical motion recognition with wireless positioning. Twenty-sev...
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DTIC ADA154184: Bayesian Factor Analysis.
A new Bayesian procedure for factor analysis is developed in which factor scores as well as factor loadings and error variances are treated as parameters of interest. The presentation is fully Bayesia...
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Stranger Still: Kaon Loops and Strange Quark Matrix Elements of the Nucleon
Intrinsic strangeness contributions to low-energy strange quark matrix elements of the nucleon are modelled using kaon loops and meson-nucleon vertex functions taken from nucleon-nucleon and nucleon-h...
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Mean Square Stabilization of Vector LTI Systems over Power Constrained Lossy Channels
This paper studies the mean square stabilization problem of vector LTI systems over power constrained lossy channels. The communication channel is with packet dropouts, additive noises and input power...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Introduction to Applied Linear Algebra
First published in 2018...
View Book →Asymptotic prediction mean squared error for vector autoregressive models
First published in 1979...
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A General Framework for the Design and Analysis of Sparse FIR Linear Equalizers
Complexity of linear finite-impulse-response (FIR) equalizers is proportional to the square of the number of nonzero taps in the filter. This makes equalization of channels with long impulse responses...
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The Models of Engaged Learning and Teaching
Connecting Sophisticated Thinking from Early Childhood to PhD...
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Linear least squares computations
First published in 1988...
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Planar Maps, Random Walks and Circle Packing
École d'Été de Probabilités de Saint-Flour XLVIII - 2018...
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Correlation of Data Reconstruction Error and Shrinkages in Pair-wise Distances under Principal Compo
In this on-going work, I explore certain theoretical and empirical implications of data transformations under the PCA. In particular, I state and prove three theorems about PCA, which I paraphrase as ...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Bayesian Methods in the Search for MH370
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Scalar curvature and holomorphy potentials
A holomorphy potential is a complex valued function whose complex gradient, with respect to some K\"ahler metric, is a holomorphic vector field. Given $k$ holomorphic vector fields on a compact comple...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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I Love Ruby
Get started with the greatest programming language made for humans...
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Sparse Detection of Non-Sparse Signals for Large-Scale Wireless Systems
In this paper, we introduce a new detection algorithm for large-scale wireless systems, referred to as post sparse error detection (PSED) algorithm, that employs a sparse error recovery algorithm to r...
View Book →Search for scalar and vector leptoquarks in electron-proton collisions at [square-root] S=300 GeV
First published in 1993...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Introductory Business Statistics
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Charged particle pseudo-rapidity distributions in minimum bias and intermediate vector boson events
First published in 1990...
View Book →An approach to preference vector derivation using least square distance
First published in 1986...
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Comparison of the refined analytic and the Burghelea-Haller torsions
The refined analytic torsion associated to a flat vector bundle over a closed odd-dimensional manifold canonically defines a quadratic form $\tau$ on the determinant line of the cohomology. Both $\tau...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Properties of a multivariate goodness-of-fit test
Title from cover...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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