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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Tail approximations for the Student $t$-, $F$-, and Welch statistics for non-normal and not necessar
Let $T$ be the Student one- or two-sample $t$-, $F$-, or Welch statistic. Now release the underlying assumptions of normality, independence and identical distribution and consider a more general case ...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and C
In this paper, we present GASG21 (Grassmannian Adaptive Stochastic Gradient for $L_{2,1}$ norm minimization), an adaptive stochastic gradient algorithm to robustly recover the low-rank subspace from a...
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Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regularized Ke
Regularized kernel methods such as, e.g., support vector machines and least-squares support vector regression constitute an important class of standard learning algorithms in machine learning. Theoret...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Coupling on weighted branching trees
This paper considers linear functions constructed on two different weighted branching processes and provides explicit bounds for their Kantorovich-Rubinstein distance in terms of couplings of their co...
View Book →Acceleration of convergence of vector sequences
First published in 1983...
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Convergence acceleration for vector sequences and applications to computational fluid dynamics
First published in 1988...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
View Book →Static thrust and vectoring performance of a spherical convergent flap nozzle with a nonrectangular
First published in 1998...
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Lasso-type recovery of sparse representations for high-dimensional data
The Lasso is an attractive technique for regularization and variable selection for high-dimensional data, where the number of predictor variables $p_n$ is potentially much larger than the number of sa...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
View Book →Implicit time-marching solution of the Navier-Stokes equations for thrust reversing and thrust vecto
First published in 1986...
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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...
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Anisotropy Across Fields and Scales
...
View Book →Effects of internal yaw-vectoring devices on the static performance of a pitch-vectoring nonaxisymme
First published in 1993...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Convergence of multi-class systems of fixed possibly infinite sizes
Multi-class systems having possibly both finite and infinite classes are investigated under a natural partial exchangeability assumption. It is proved that the conditional law of such a system, given ...
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NASA Technical Reports Server (NTRS) 19910017797: Development of load-dependent Ritz vector method f
The development and preliminary assessment of a method for dynamic structural analysis based on load-dependent Ritz vectors are presented. The vector basis is orthogonalized with respect to the mass a...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Biodiversity and Health in the Face of Climate Change
...
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Necessary and Sufficient Conditions for Stable Synchronisation in Random Dynamical Systems
For a product of i.i.d. random maps or a memoryless stochastic flow on a compact space $X$, we find conditions under which the presence of locally asymptotically stable trajectories (e.g. as given by ...
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Octet-baryon axial-vector charges and SU(3)-breaking effects in the semileptonic hyperon decays
The octet-baryon axial-vector charges and the g1/f1 ratios measured in the semileptonic hyperon decays are studied up to O(p^3) using the covariant baryon chiral perturbation theory with explicit decu...
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Variant Construction from Theoretical Foundation to Applications
...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Henstock-Kurzweil Integration
First published in 2000...
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NASA Technical Reports Server (NTRS) 19880005550: A multistage time-stepping scheme for the thin-lay
A finite-volume scheme for numerical integration of the Euler equations was extended to allow solution of the thin-layer Navier-Stokes equations in two and three dimensions. The extended algorithm, wh...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
View Book →On Schwartz convergence vector spaces and spaces of continuous linear mappings
First published in 1984...
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Understanding Machine Learning
From Theory to Algorithms...
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DTIC ADA144738: The Rate of Convergence of a Class of Block Jacobi Schemes.
The solution of many elliptic and parabolic partial differential equations lead to the need to solve large linear systems. With the usual serial computer architecture point iterative schemes frequentl...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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A Linear Scalarization Proximal Point Method for Quasiconvex Multiobjective Minimization
In this paper we propose a linear scalarization proximal point algorithm for solving arbitrary lower semicontinuous quasiconvex multiobjective minimization problems. Under some natural assumptions and...
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DTIC ADA455258: An Optimal Basis Identification Technique for Interior-Point Linear Programming Algo
This work concerns a method for identifying an optimal basis for linear programming problems in the setting of interior point methods. To each iterate x-superscript-k generated by a primal interior po...
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Foundations of Machine Learning
...
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Upper bounds for convergence rates of vector extrapolation methods on linear systems with initial it
First published in 1992...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Low-Complexity Quaternion Adaptive Filters
A general representation of the quaternion gradients presented in the literature is proposed, and an universal update equation for QLMS-like algorithms is obtained. The general update law is used to s...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
View Book →Convergence functions on vector spaces
First published in 1977...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Convergence theorems for vector integrals
First published in 1981...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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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...
View Book →Static internal performance of a two-dimensional convergent-divergent nozzle with thrust vectoring
First published in 1987...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Order convergence functions on ordered vector spaces
First published in 1977...
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Quadrature-Based Vector Fitting: Implications For H2 System Approximation
Vector Fitting is a popular method of constructing rational approximants designed to fit given frequency response measurements. The original method, which we refer to as VF, is based on a least-square...
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Bayesian Methods in the Search for MH370
...
View Book →Static thrust-vectoring performance of nonaxisymmetric convergent-divergent nozzles with post-exit y
First published in 1991...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
View Book →Convergence properties of the parameter vector in real-time identification of linear systems
First published in 1972...
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Portmanteau inequalities on the Poisson space: mixed regimes and multidimensional clustering
Using Malliavin operators together with an interpolation technique inspired by Arratia, Goldstein and Gordon (1989), we prove a new inequality on the Poisson space, allowing one to measure the distanc...
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Signal Computing
Digital Signals in the Software Domain...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Algorithmic Graph Theory and Sage
...
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Static internal performance including thrust vectoring and reversing of tow-dimensional convergent-d
First published in 1984...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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SVD-MPE: An SVD-Based Vector Extrapolation Method of Polynomial Type
An important problem that arises in different areas of science and engineering is that of computing the limits of sequences of vectors $\{\xx_m\}$, where $\xx_m\in \C^N$, $N$ being very large. Such se...
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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...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
View Book →Static internal performance of a two-dimensional convergent nozzle with thrust-vectoring capability
First published in 1985...
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Static investigation of a two-dimensional convergent-divergent exhaust nozzle with multiaxis thrust-
First published in 1990...
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Linear Selection Indices in Modern Plant Breeding
...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Developing Graphics Frameworks with Python and OpenGL
...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Convex Regularization for High-Dimensional Multi-Response Tensor Regression
In this paper we present a general convex optimization approach for solving high-dimensional multiple response tensor regression problems under low-dimensional structural assumptions. We consider usin...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Representation Learning for Natural Language Processing
...
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Static investigation of two fluidic thrust-vectoring concepts on a two-dimensional convergent-diverg
First published in 1994...
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