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Books on the topic 'Real rank'

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Author: Grafiati

Published: 10 March 2023

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1

Stevens, Irina. Hereditary subalgebras of certain simple non real rank zero C*-algebras. Toronto: University of Toronto, 1998.

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2

On the classification of C*-algebras of real rank zero: Inductive limits of matrix algebras over non-Hausdorff graphs. Providence, R.I: American Mathematical Society, 1995.

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3

Su, Hongbing. On the classification of C*, algebras of real rank zero: Inductive limits of matrix algebras over non-Hausdorff graphs. Toronto: [s.n.], 1992.

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4

Sakata, Toshio, Toshio Sumi, and Mitsuhiro Miyazaki. Algebraic and Computational Aspects of Real Tensor Ranks. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55459-2.

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5

The real reason for the fall of the rand. Johannesburg: Free Market Foundation, 2002.

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6

author, Jin Xiaobin, and Zhou Yinkang author, eds. Zhongguo zhu zhai shi chang fa zhan yu zhi zao ye zhuan xing yan jiu: Ji yu tu di chu rang de shi jiao. Beijing: Ke xue chu ban she, 2019.

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7

Arnold, Lobel. Rana e Rospo grandi amici. Milano: Fabbri, 2000.

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8

Zhang, Hong, Yibiao Ji, and Shaoliang Gu. Yunnan Sheng guo you tu di shi yong quan chu rang shou zhi he suan biao zhun yu jian guan ji zhi yan jiu. Beijing Shi: Jing ji ke xue chu ban she, 2012.

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9

Borg, Ron. Stop crying in the rear rank: A serious yet lighthearted backward glance at ground crew life in the Royal Air Force, 1939-1949 and a new life in Canada. [Canada]: [publisher not identified], 1998.

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10

Borg, Ronald J. Stop crying in the rear rank: A serious yet lighthearted backward glance at ground crew life in the Royal Air Force, 1938-1949, and a new life in Canada. [S.l.]: Ron Borg, 1998.

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11

United States Department of War. Letter from the Secretary of War transmitting a report of the names, rank, and line of every person placed on the pension list, in pursuance of the Act of the 18th March, 1818, &c.: January 20, 1820, read, and ordered to lie on the table. Apollo, PA: Closson Press, 1987.

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12

Mah, Douglas A. Urban growth: A test of the assumptions made by the rank-size rule. 1989.

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13

ENEMY ARMY - the Rank-And-File of the Real American Hero's Most Dangerous Adversary. Independently Published, 2019.

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14

Balboa, Michael. Break Rank, Make Bank: A Bullet Proof Guide on Using Your Military Benefits to Make Real Money. Blacksmith LLC, 2022.

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15

Su, Hongbing. On the classification of C*-algebras of real rank zero : inductive limits of matrix algebras over non-Hausdorff graphs. 1992.

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16

Friis, Peter. Normal elements with finite spectrum in C*-algebras of real rank zero: With applications to almost commuting operators and Brown-Douglas-Fillmore theory. 1999.

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17

Friis, Peter. Normal elements with finite spectrum in C*-algebras of real rank zero: with applications to almost commuting operators and Brown-Douglas-Fillmore theory. 1999, 1999.

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18

Stand Easy: Or the Rear Rank Remembers. Carnegie Publishing, 1993.

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19

Érdi, Péter. Ranking. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190935467.001.0001.

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As humans, we like to see who is stronger, richer, better, or cleverer. As we also (1) love lists, (2) are competitive, and (3) are jealous of other people, we like ranking. We can rank some situations objectively: students ranked by their heights reflects objectivity. However, many “top-10” (or 21, 33, etc.) lists are based on subjective categorization and give only the illusion of objectivity. In fact, we don’t always want to be seen objectively since we don’t mind having a better image or rank than we deserve. The book applies scientific theories to everyday experience by raising and answering questions like: Are college ranking lists objective? How do we rank and rate countries based on their fragility, level of corruption, or even happiness? How do we find the most relevant webpages? How are employees ranked? The book is offered to people whose neighbor has a fancier car; employees who are being ranked by their supervisors; managers who are involved in ranking but may have qualms about the process; businesspeople interested in creating better visibility for their companies; scientists, writers, artists, and other competitors who would like to see themselves at the top of a success list; and college students who are just preparing to enter a new phase of social competition. Readers will engage in an intellectual adventure to better understand the difficulties of navigating between objectivity and subjectivity and to better identify and modify their place in real and virtual communities by combining human and computational intelligence.

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20

Dyson, Freeman. Spectral statistics of unitary ensembles. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.4.

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This article focuses on the use of the orthogonal polynomial method for computing correlation functions, cluster functions, gap probability, Janossy density, and spacing distributions for the eigenvalues of matrix ensembles with unitary-invariant probability law. It first considers the classical families of orthogonal polynomials (Hermite, Laguerre, and Jacobi) and some corresponding unitary ensembles before discussing the statistical properties of N-tuples of real numbers. It then reviews the definitions of basic statistical quantities and demonstrates how their distributions can be made explicit in terms of orthogonal polynomials. It also describes the k-point correlation function, Fredholm determinants of finite-rank kernels, and resolvent kernels.

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21

Sakata, Toshio, Toshio Sumi, and Mitsuhiro Miyazaki. Algebraic and Computational Aspects of Real Tensor Ranks. Springer London, Limited, 2016.

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22

Sakata, Toshio, Toshio Sumi, and Mitsuhiro Miyazaki. Algebraic and Computational Aspects of Real Tensor Ranks. Springer, 2016.

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23

Sakata, Toshio, Toshio Sumi, and Mitsuhiro Miyazaki. Algebraic and Computational Aspects of Real Tensor Ranks. Springer, 2016.

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24

Pleskac, Timothy J., Adele Diederich, and Thomas S. Wallsten. Models of Decision Making under Risk and Uncertainty. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.10.

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Formal models have a long and important history in the study of human decision-making. They have served as normative standards against which to compare real choices, as well as precise descriptions of actual choice behavior. This chapter begins with an overview of the historical development of decision theory and rational choice theory and then reviews how models have been used in their normative and descriptive capacities. Models covered include prospect theory, rank- and sign-dependent utility theories and their descendants, as well as cognitive models of human decision-making like Decision Field Theory and the Leaky Competing Accumulator Model, which are based on basic psychological principles rather than assumptions of rationality.

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25

Wood, Ben, and Andrew McDonald. Misterio de la Rana Invisible / Real Pigeons Splash Back. Penguin Random House Grupo Editorial, 2022.

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26

Rand McNally. Rand McNally Easy to Read Midsize Road Atlas (Rand Mcnally Road Atlas Midsize Easy to Read). Rand McNally, 2014.

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27

Reading. Oscar y la rana: Read Aloud Grade K. HOUGHTON MIFFLIN, 2010.

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28

Rand McNally Easy-To-Read Travel Atlas 1995. Rand McNally & Co, 1994.

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29

Rand McNally. Rand Mcnally Easy to Read: Illinois State Map. Rand McNally Canada, 2022.

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30

Rand McNally. Rand Mcnally Easy to Read: Louisiana State Map. Rand McNally Canada, 2022.

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31

McNally, Rand. Rand Mcnally Easy to Read: California State Map. Rand McNally Canada, 2022.

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32

Rand McNally. Rand Mcnally Easy to Read: Arkansas State Map. Rand McNally Canada, 2021.

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33

Rand McNally. Rand Mcnally Easy to Read: Oregon State Map. Rand McNally Canada, 2022.

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34

Rand McNally. Rand Mcnally Easy to Read: Indiana State Map. Rand McNally Canada, 2022.

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35

Jacobs, Lanita. To Be Real. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780190870096.001.0001.

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Abstract This book examines African American standup comedy over the past decade as a stage for understanding why notions of racial authenticity—in essence, appeals to “realness” and “real Blackness”—emerge as a cultural imperative in African American culture. Ethnographic observations and interviews with Black comedians ground this telling, providing a narrative arc of key historical moments in the new millennium. Readers will understand how and why African American comics invoke “realness” to qualify nationalist discourses on the 9/11 terrorist attacks and grapple with the racial entailments of the war in Iraq, overcome a sense of racial despair in the wake of Hurricane Katrina, critique Michael Richards’s [“Kramer’s”] notorious rant at The Laugh Factory and subsequent attempts by the club to censor use of the n-word, and reconcile the politics of a “real” Black in Black folks’ everyday lives via Kevin Hart’s meteoric rise to global stardom. Additionally, readers will hear through audience murmurs, hisses, and boos how beliefs about racial authenticity are intensely class-wrought and fraught. Moreover, they will appreciate how context remains ever critical to when and why African American comics and audiences lobby for and/or lampoon jokes that differentiate the “real” from the “fake” or “Black folks” from “niggahs.” The take-home point of To Be Real is this: context and racial vulnerability are critical to understanding how and why allusions to “racial authenticity” persist in the African American comedic and cultural imagination. During watershed moments of crisis (e.g., 9/11, Hurricane Katrina) or incessant hope (e.g., 2008 presidential election), African American stances around racial authenticity bespeak a need to define who and whose they are, if only to contend with the enduring significance of race. By consciously valuing a “real”—as opposed to strict notions of “the real” (which too often essentialize, objectify, and exclude)—this book reveals why authenticity matters to African Americans and, arguably all of us, when the proverbial –ish hits the fan and then, too, when things are calm and still.

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36

Rand McNally. Rand McNally Easy To Read: Alaska State Folded Map. Rand McNally, 2019.

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37

Rand McNally. Rand McNally Easy To Read: Delaware, Maryland State Map. Rand McNally, 2011.

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38

Rand McNally. Rand Mcnally Easy to Read: Delaware, Maryland State Map. Rand McNally Canada, 2022.

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39

Korver-Glenn, Elizabeth. Race Brokers. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190063863.001.0001.

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This book examines how housing market professionals—including housing developers, real estate agents, mortgage lenders, and appraisers—construct twenty-first-century urban housing markets in ways that contribute to or undermine racial segregation. Drawing on extensive ethnographic and interview data collected in Houston, Texas, the book shows that housing market professionals play a key role in connecting people—or refusing to connect people—to housing resources and opportunities. They make these brokering decisions through reference to racist or equitable, people-affirming ideas. Typically, White housing market professionals draw from racist ideas that rank order people and neighborhoods according to their perceived economic and cultural housing market value, entwining racism with their housing market activities and interactions. Racialized housing market routines encourage this entwinement by naturalizing racism as a professional tool. The book tracks how professionals broker racism across the housing exchange process—from the home’s construction to real estate brokerage, mortgage lending, and home appraisals. In doing so, it shows that professionals make housing exchange a racialized process that contributes to neighborhood inequality and racial segregation. However, in contrast to the racialized status quo, a small number of housing market professionals—almost all of color—draw on equitable, people-affirming ideas and strategies to extend equal opportunities to individuals and neighborhoods, denaturalizing housing market racism. The book highlights the imperative to interrupt the racism that pervades White housing market professionals’ work, dismantle the racialized routines that underwrite such racism, and cultivate a fair housing market.

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40

McNally & co. [from old catalog] Rand. Rand McNally Easy-To-Read Travel Atlas 1999: United States Canada Mexico (Rand Mcnally Easy-to-Read Travel Atlas United States, Canada, Mexico). Rand McNally & Company, 1998.

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41

McNally & co. [from old catalog] Rand. Rand McNally 2000 Easy-To-Read Travel Atlas: United States, Canada, Mexico (Rand Mcnally Easy-to-Read Travel Atlas United States, Canada, Mexico). Rand McNally, 2000.

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42

Rand, McNally &. co [from old catalog]. Rand Mcnally PANAMA CITY, FLORIDA (Help your child to read). Rand Mcnally, 2007.

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43

Rand McNally. Rand Mcnally Easy to Read Folded Map: Pennsylvania State Map. Rand McNally Canada, 2021.

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44

Rand McNally. Rand Mcnally Easy to Read Folded Map: Texas State Map. Rand McNally Canada, 2022.

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45

Illustrated. Rand McNally Easy to Read Travel Atlas:United States, Canada, Mexico. Rand McNally, 2000.

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46

Rand McNally. Rand McNally Easy to Read Folded Map: Virginia State Map. Rand McNally, 2021.

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47

Hoch, Edward D. Spy Who Read Latin : and Other Stories: A Jeffery Rand Collection. MysteriousPress.com, 2013.

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48

Hoch, Edward D. Spy Who Read Latin : and Other Stories: A Jeffery Rand Collection. MysteriousPress.com, 2013.

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49

Hoch, Edward D. Spy Who Read Latin : and Other Stories: A Jeffery Rand Collection. Head of Zeus, 2014.

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50

Hoch, Edward D. Spy Who Read Latin : and Other Stories: A Jeffery Rand Collection. MysteriousPress.com, 2013.

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