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Spectral enclosure and superconvergence for eigenvalues in gaps
We consider the problem of how to compute eigenvalues of a self-adjoint operator when a direct application of the Galerkin (finite-section) method is unreliable. The last two decades have seen the dev...
View Book →How to outthink, outmaneuver, and outperform your competitors
First published in 2013...
View Book →How to Value Shares and Outperform the Market
First published in 2011...
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The future of value : how sustainability creates value through competitive differentiation
xxi, 248 p. : 24 cm...
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Graph Databases
New Opportunities for Connected Data...
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Apartment Buildings that Outperform
First published in 2016...
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DTIC ADA634023: Target-Pursuing Scheduling and Routing Policies for Multiclass Queueing Networks
We propose a parametric class of myopic scheduling and routing policies for open and closed multiclass queueing networks. In open networks, they steer the state of the system toward a predetermined an...
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Getting everything you can out of all you've got
First published in 2000...
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Speed drives control using particle swarm optimization for PMSM drives
The paper presents a contemporary method for controlling the speed of a permanent magnet synchronous machine (PMSM) by optimizing the parameters of a proportional-integral (PI) controller using the pa...
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DTIC ADA615150: Novel Predictors of Sepsis Outperform the American Burn Association Sepsis Criteria
The purpose of this study was to determine whether systemic inflammatory response syndrome (SIRS) and American Burn Association (ABA) criteria predict sepsis in the burn patient and develop a model re...
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Investigating personality differences between public and private university students and across gend
Investigating personality differences between public and private university students and across gender: A focus on Malaysian Chinese sample Chee-Seng Tan 1*, Intan Hashimah Mohd Hashim 2 1 Depa...
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Heuristic decision making in medicine.
This article is from Dialogues in Clinical Neuroscience , volume 14 . Abstract Can less information be more helpful when it comes to making medical decisions? Contrary to the common intuition that mor...
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The nail technicians business guide : how to outperform and outlast your competition
iv, 100 pages : 23 cm...
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What's the Future of Work?
Exploring the Economic Shift Led by Software and Connectedness...
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Why Random Reshuffling Beats Stochastic Gradient Descent
We analyze the convergence rate of the random reshuffling (RR) method, which is a randomized first-order incremental algorithm for minimizing a finite sum of convex component functions. RR proceeds in...
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The Sports Playbook
First published in 2018...
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Fundamentals of project management
First published in 1995...
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DTIC ADA472213: Performance Measurements of a Self-Referencing Interferometer Wavefront Sensor with
The Self-referencing Interferometer Wavefront Sensor (SRI WFS) has been shown to outperform conventional wavefront sensors in strong scintillation environments. Recently, the Starfire Optical Range ha...
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Relay Assisted F/TDMA Ad Hoc Networks: Node Classification, Power Allocation and Relaying Strategies
This paper considers the design of relay assisted F/TDMA ad hoc networks with multiple relay nodes each of which assists the transmission of a predefined subset of source nodes to their respective des...
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ERIC ED557735: Class of 2014 Advanced Placement and International Baccalaureate Exam Participation a
Beginning in 2006, Maryland has led the nation as the state with the highest percentage of graduates who earned one or more Advanced Placement (AP) exam scores of 3 or higher. Students in the Montgome...
View Book →Chart Logic - Technical Analysis Handbook
First published in 2020...
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The public school advantage
First published in 2014...
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ERIC ED615543: Knowing "When" and "Where": Temporal-ASTNN for Student Learning Progression in Novice
As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for model...
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Very Deep Convolutional Neural Networks for Raw Waveforms
Learning acoustic models directly from the raw waveform data with minimal processing is challenging. Current waveform-based models have generally used very few (~2) convolutional layers, which might b...
View Book →Transform Outperform : 7 Powers Transfo
First published in 2022...
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Outperform with expectations-based management
First published in 2005...
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A simplified Capital Asset Pricing Model
We consider a Black-Scholes market in which a number of stocks and an index are traded. The simplified Capital Asset Pricing Model is the conjunction of the usual Capital Asset Pricing Model, or CAPM,...
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Thermal state pointer can enormously improve the precision of weak measurement
In most studies on post-selected weak measurement, the zero-mean Gaussian state (i.e., pure state) is initialized as a pointer state. Recently, several theoretical studies give the limits that using f...
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Main Street Beats Wall Street
First published in 1994...
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Inform, Transform & Outperform
First published in 2016...
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1-dimensional convolutional neural networks for predicting sudden cardiac
Sudden cardiac arrest (SCA) is a serious heart problem that occurs without symptoms or warning. SCA causes high mortality. Therefore, it is important to estimate the incidence of SCA. Current methods ...
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A Multicast Approach for Constructive Interference Precoding in MISO Downlink Channel
This paper studies the concept of jointly utilizing the data information(DI)and channel state information (CSI) in order to design symbol-level precoders for a multiple input and single output (MISO) ...
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DTIC ADA532576: A Sequential Monte Carlo Method for Real-time Tracking of Multiple Targets
In this project, a Monte Carlo approach to tracking was developed for tracking in cluttered environments and across multiple scales. The Monte Carlo approach was compared with an active contour approa...
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Practical Comparison of Optimization Algorithms for Learning-Based MPC with Linear Models
Learning-based control methods are an attractive approach for addressing performance and efficiency challenges in robotics and automation systems. One such technique that has found application in thes...
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