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Solving the inverse problem of high numerical aperture focusing using vector Slepian harmonics and v
A technique using vector Slepian harmonics and multipole fields is presented for a general treatment of the inverse problem of high numerical aperture focusing. A prescribed intensity distribution or ...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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On solving symmetric systems of linear equations in an unnormalized Krylov subspace framework
In an unnormalized Krylov subspace framework for solving symmetric systems of linear equations, the orthogonal vectors that are generated by a Lanczos process are not necessarily on the form of gradie...
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DTIC ADA522719: Low Cost High Performance Phased Array Antennas with Beam Steering Capabilities
In this report, we focused on fabricating the tunable ferroelectric phase shifter and verifying the simulation results with the fabricated device. To achieve low loss and high tunable characteristics ...
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Bayesian Methods in the Search for MH370
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
View Book →Complex Support Vector Machines for Regression and Quaternary Classification
We present a support vector machines (SVM) rationale suitable for regression and quaternary classification problems that use complex data, exploiting the notions of widely linear estimation and pure c...
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Vector Variational Inequalities and Vector Optimization
First published in 2017...
View Book →Parallel Support Vector Machines in Practice
In this paper, we evaluate the performance of various parallel optimization methods for Kernel Support Vector Machines on multicore CPUs and GPUs. In particular, we provide the first comparison of alg...
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Linear Selection Indices in Modern Plant Breeding
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Finite Difference Computing with PDEs
A Modern Software Approach...
View Book →Support Vector Machines
First published in 2012...
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Recent developments in vector optimization
First published in 2011...
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Variant Construction from Theoretical Foundation to Applications
...
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Reactive Power Control in AC Power Systems
Fundamentals and Current Issues...
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IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency
Intelligent Methods for the Factory of the Future...
View Book →Convergence of Nonlinear Observers on R^n with a Riemannian Metric (Part I)
We study how convergence of an observer whose state lives in a copy of the given system's space can be established using a Riemannian metric. We show that the existence of an observer guaranteeing the...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Regularization, Optimization, Kernels, and Support Vector Machines
First published in 2014...
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Recent Advances and Historical Development of Vector Optimization
First published in 1987...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Energy Efficient Servers
Blueprints for Data Center Optimization...
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Android on x86
An Introduction to Optimizing for Intel Architecture...
View Book →A New Vectorization Technique for Expression Templates in C++
Vector operations play an important role in high performance computing and are typically provided by highly optimized libraries that implement the BLAS (Basic Linear Algebra Subprograms) interface. In...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Optimization of Process Flowsheets through Metaheuristic Techniques
...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Algorithms for Decision Making
...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Duality in Vector Optimization
First published in 2009...
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Vector-valued Optimization (Mathematics in Science & Engineering)
First published in 1980...
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Optimal pitch thrust-vector angle and benefits for all flight regimes
First published in 2000...
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3D Game Development with LWJGL 3
Learn the main concepts involved in writing 3D games using the Lighweight Java Gaming Library...
View Book →Simultaneous Wireless Information and Power Transfer in MISO Full-Duplex Systems
This paper investigates a multiuser multiple-input single-output (MISO) full-duplex (FD) system for simultaneous wireless information and power transfer (SWIPT), in which a multi-antenna base station ...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Variable Ordering Structures in Vector Optimization
First published in 2014...
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Machine Learning Yearning
Technical Strategy for AI Engineers, In the Era of Deep Learning...
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Biodiversity and Health in the Face of Climate Change
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Signal Computing
Digital Signals in the Software Domain...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Algebraic Lipschitz and Subdifferential Calculus in General Vector Spaces
The main contribution of this paper is that every convex function with non-empty relative algebraic interior of its domain is Lipschitz and subdifferentiable in some algebraic sense without any additi...
View Book →94. Unified Categorical Modelling System^ J Second Stage PDF
This paper focuses on the unified categorical Modelling System, which organizes conceptual schemes, sets, models, and maps into a deep artificial comprehension system. The text outlines how decision...
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Statistical Learning and Sequential Prediction
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Automated Machine Learning
Methods, Systems, Challenges...
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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 →Optimization by vector space methods
1 vol. (XVII-326 p.) : 24 cm...
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V-Invex Functions and Vector Optimization
First published in 2007...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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DTIC ADA1026629: Engineering Design Optimization by the Augmented Lagrange Multiplier Method
A computer program was developed for solving equality and inequality constrained optimization problems by the Augmented Lagrange Multiplier method. The program was developed specifically for use in en...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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A vector space approach to models and optimization
First published in 1975...
View Book →Entropic and displacement interpolation: a computational approach using the Hilbert metric
Monge-Kantorovich optimal mass transport (OMT) provides a blueprint for geometries in the space of positive densities -- it quantifies the cost of transporting a mass distribution into another. In par...
View Book →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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.NET Performance Testing and Optimization
The Complete Guide...
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Android Application Development for the Intel Platform
...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Vector Optimization with Infimum and Supremum
First published in 2011...
View Book →On the rate analysis of inexact augmented Lagrangian schemes for convex optimization problems with m
We consider a misspecified optimization problem that requires minimizing of a convex function $f(x;\theta^*)$ in x over a constraint set represented by $h(x;\theta^*)\leq 0$, where $\theta^*$ is an un...
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Advances in Energy System Optimization
Proceedings of the 2nd International Symposium on Energy System Optimization...
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Optimization of Training and Feedback Overhead for Beamforming over Block Fading Channels
We examine the capacity of beamforming over a single-user, multi-antenna link taking into account the overhead due to channel estimation and limited feedback of channel state information. Multi-input ...
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The Art of SEO
Mastering Search Engine Optimization...
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Understanding Machine Learning
From Theory to Algorithms...
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DTIC ADA267071: Multiobjective Functions Optimization For Task Allocation Mapping To Multicomputer N
The Naval Air Warfare Center - Aircraft Division Warminster, Software and Computer Technology Division, is developing software to allocate tasks to multicomputer nodes such that multiple objectives ar...
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Vector Optimization and Monotone Operators via Convex Duality
First published in 2014...
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Water Resource Systems Planning and Management
An Introduction to Methods, Models, and Applications...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Foundations of Machine Learning
...
View Book →DTIC ADA297442: Optimal Mixed-Norm Control Synthesis for Discrete-Time Linear Systems.
A mixed-norm approach to control synthesis for discrete time linear systems is developed. Specifically, the problem of minimizing the H2 norm of a transfer function, subject to a combination of l1 and...
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DTIC ADA447558: Development of Vectors for the Regulated Expression of RNAi
The goal of this grant was to construct and test vectors that utilized the tetracycline repressor system and expression of short hairpin RNAs to regulate expression of genes in a conditional manner (p...
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Stochastics of Environmental and Financial Economics
Centre of Advanced Study, Oslo, Norway, 2014-2015...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms
In the evolutionary computation research community, the performance of most evolutionary algorithms (EAs) depends strongly on their implemented coordinate system. However, the commonly used coordinate...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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