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07 Data Abstraction
07 Data Abstraction

... memory cells. Compound data structures can be constructed using collections of memory cells. It is almost always a poor idea to conceptualize data at the level of hardware architecture. Data abstraction allows us to think about data forms conceptually, using representations which map closely onto th ...
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One-Class Matrix Completion with Low-Density

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Numerical Methods for Semiconductor Hetrostructures with Band

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... the model include rotor bars and end-ring near the stator windings. So, the rotor bars and end-ring data (currents, voltages etc.) are accessible and can be investigated. And the rotor bars and end-ring parameters are verification and made optimization. In the solution the number of rotor bars deter ...
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... representations of mathematical ideas in order to solve problems, model mathematical ideas, and communicate solution strategies SPI 0606.1.3 Use concrete, pictorial, and symbolic representation for integers. 0606.1.5 Illustrate properties of operations by showing that two expressions are equivalent ...
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S1 Measures of Dispersion

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Economic order quantity model for deteriorating items with planned

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Agile Mind Intensified Algebra I Scope and Sequence, 2015

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... NLP Specific Details: The NLP component of the case definition was implemented by searching the Major and Secondary problem list section of the clinical note for at least one positive mention of one of the heart failure terms. Positive mention is defined using ConText for assigning statuses to each ...
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... Hypothesis Testing known as Sequential Hypothesis Testing. In the sequential problem, observations arrive one at a time, with an action performed after each observation to maximize the discriminatory power of the next observation. Early work for detecting moving targets in such sequential problems w ...
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Computational Aspects of Pseudospectra in Hydrodynamic Stability

... 6. How do the pseudospectra of the linearized Burgers operator compare to that of the linearized Navier-Stokes operator? All these questions have not been satisfactorily considered yet in the literature. The results presented in this paper are in some parts based on the Diploma theses Westenberger [ ...
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Approximate local magnetic-to-electric surface

... electromagnetic fields diffracted by an object. Among the most widely used methods, let us mention e.g. the finite element method [38, 25] with an Absorbing Boundary Condition (ABC) [38] or a Bérenger’s Perfectly Matched Layer (PML) [38, 18, 26] or the integral equation formulations [51, 43, 24] d ...
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Inverse problem

An inverse problem in science is the process of calculating from a set of observations the causal factors that produced them: for example, calculating an image in computer tomography, source reconstructing in acoustics, or calculating the density of the Earth from measurements of its gravity field.It is called an inverse problem because it starts with the results and then calculates the causes. This is the inverse of a forward problem, which starts with the causes and then calculates the results.Inverse problems are some of the most important mathematical problems in science and mathematics because they tell us about parameters that we cannot directly observe. They have wide application in optics, radar, acoustics, communication theory, signal processing, medical imaging, computer vision, geophysics, oceanography, astronomy, remote sensing, natural language processing, machine learning, nondestructive testing, and many other fields.
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