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A vector space approach to models and optimization
First published in 1975...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Android on x86
An Introduction to Optimizing for Intel Architecture...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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An efficiency metaheuristic model to predicting customers churn in the business market with machine
Metaheuristics is an optimization method that improves and completes a task in a short period of time based on its objective function. The goal of metaheuristics is to search the search space for the ...
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Fall Risk Assessment and Early-Warning for Toddler Behaviors at Home.
This article is from Sensors (Basel, Switzerland) , volume 13 . Abstract Accidental falls are the major cause of serious injuries in toddlers, with most of these falls happening at home. Instead of pr...
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Opendda: a Novel High-Performance Computational Framework for the Discrete Dipole Approximation
This work presents a highly optimized computational framework for the Discrete Dipole Approximation, a numerical method for calculating the optical properties associated with a target of arbitrary geo...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Recent Advances and Historical Development of Vector Optimization
First published in 1987...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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DTIC ADA418349: Optimization of CAD System Using Adaptive Simulated Annealing for Digital Mammograph
Mammography is the most effective method to date and is becoming a high volume X-ray procedure for screening and diagnosing breast cancer. The performance of computer-aided detection and diagnosis (CA...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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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...
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Foundations of Machine Learning
...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Using an Adjoint Approach to Eliminate Mesh Sensitivities in Computational Design
An algorithm for efficiently incorporating the effects of mesh sensitivities in a computational design framework is introduced. The method is based on an adjoint approach and eliminates the need for e...
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GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring
Fisher vector has been widely used in many multimedia retrieval and visual recognition applications with good performance. However, the computation complexity prevents its usage in real-time video mon...
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DTIC ADA249437: The Design and Implementation of a Parallel Unstructured Euler Solver Using Software
This paper is concerned with the implementation of a three- dimensional unstructured-grid Euler-solver on massively parallel distributed- memory computer architecture The goal is to minimize solution ...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Vector Optimization with Infimum and Supremum
First published in 2011...
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NASA Technical Reports Server (NTRS) 20220002949: Performance Optimization Methods for a Memory-Boun
Computational performance of the FUN3D unstructured-grid computational fluid dynamics (CFD) application on massively parallel GPU environments is memory-bound and highly dependent upon efficient reads...
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DTIC ADA228743: Microsupercomputers: Design and Implementation
1. Executive Summary. A summary of progress for the period April 1989 through October 1989 follows: (1) Parallel Architecture: The Stanford DASH multiprocessor advances the state of parallel computing...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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V-Invex Functions and Vector Optimization
First published in 2007...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Variant Construction from Theoretical Foundation to Applications
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Performance Engineering of the Kernel Polynomial Method on Large-Scale CPU-GPU Systems
The Kernel Polynomial Method (KPM) is a well-established scheme in quantum physics and quantum chemistry to determine the eigenvalue density and spectral properties of large sparse matrices. In this w...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Recent developments in vector optimization
First published in 2011...
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Lower Bounds and Algorithm for Partially Replicated Causally Consistent Shared Memory
Distributed shared memory systems maintain multiple replicas of the shared memory locations. Maintaining causal consistency in such systems has received significant attention in the past. However, muc...
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NASA Technical Reports Server (NTRS) 20100042232: Multi-Stage System for Automatic Target Recognitio
A multi-stage automated target recognition (ATR) system has been designed to perform computer vision tasks with adequate proficiency in mimicking human vision. The system is able to detect, identify, ...
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Support Vector Machines
First published in 2012...
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Generalized Compression Dictionary Distance as Universal Similarity Measure
We present a new similarity measure based on information theoretic measures which is superior than Normalized Compression Distance for clustering problems and inherits the useful properties of conditi...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Optimal pitch thrust-vector angle and benefits for all flight regimes
First published in 2000...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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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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Vector-valued Optimization (Mathematics in Science & Engineering)
First published in 1980...
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Optimization by Vector Space Methods
First published in 1968...
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Understanding Machine Learning
From Theory to Algorithms...
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Variable Ordering Structures in Vector Optimization
First published in 2014...
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Bayesian Methods in the Search for MH370
...
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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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Biodiversity and Health in the Face of Climate Change
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Performance comparison between Java and JNI for optimal implementation of computational micro-kernel
General purpose CPUs used in high performance computing (HPC) support a vector instruction set and an out-of-order engine dedicated to increase the instruction level parallelism. Hence, related optimi...
View Book →Regularization, Optimization, Kernels, and Support Vector Machines
First published in 2014...
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Duality in Vector Optimization
First published in 2009...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Conjugate gradient acceleration of iteratively re-weighted least squares methods
Iteratively Re-weighted Least Squares (IRLS) is a method for solving minimization problems involving non-quadratic cost functions, perhaps non-convex and non-smooth, which however can be described as ...
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Anisotropy Across Fields and Scales
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Linear Selection Indices in Modern Plant Breeding
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Nielson-type transfinite triangular interpolants by means of quadratic energy functional optimizatio
We generalize the transfinite triangular interpolant of (Nielson, 1987) in order to generate visually smooth (not necessarily polynomial) local interpolating quasi-optimal triangular spline surfaces. ...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Signal Computing
Digital Signals in the Software Domain...
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NASA Technical Reports Server (NTRS) 20120001220: In Situ Surface Characterization
Operation of in situ space assets, such as rovers and landers, requires operators to acquire a thorough understanding of the environment surrounding the spacecraft. The following programs help with th...
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Algorithmic Graph Theory and Sage
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Modeling and Evaluating Enhancements in Expanding Ring Search Algorithm for Wireless Reactive Protoc
In case of high dynamic topology, reactive routing protocols provide quick convergence by faster route discoveries and route maintenance. Frequent roadcasts reduce routing efficiency in terms of broad...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Vector Variational Inequalities and Vector Optimization
First published in 2017...
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NASA Technical Reports Server (NTRS) 20110012130: GPU Accelerated Vector Median Filter
Noise reduction is an important step for most image processing tasks. For three channel color images, a widely used technique is vector median filter in which color values of pixels are treated as 3-c...
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Parallel and distributed computer graphics
vi, 172 p. : 24 cm...
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Vector Optimization and Monotone Operators via Convex Duality
First published in 2014...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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