526 research outputs found
Economics of South African Townships : Special Focus on Diepsloot
No full textCountries everywhere are divided into
two distinct spatial realms: one urban, one rural. Classic
models of development predict faster growth in the urban
sector, causing rapid migration from rural areas to cities,
lifting average incomes in both places. The process
continues until the marginal productivity of labor is
equalized across the two realms. The pattern of rising
urbanization accompanying economic growth has become one of
the most visible and self-evident empirical facts of
development across the world, with almost 200,000 people
making the rural-to-urban trek every day, according to the
United Nations. Cities across the world are powering growth,
development, and modernization. The study then takes a close
look at Diepsloot, a large township in the Johannesburg
Metropolitan Area, to bring out more vividly the economic
realities and choices of township residents. Although
atypical in many ways, by the virtue of being newer, poorer,
and more informal, with a bigger concentration of migrants
(many of them foreign nationals), than the historically
established townships, Diepsloot also retains many of the
economic characteristics of South African townships: Issues
of joblessness, uneven access to basic public services, and
overwhelming levels of crime and violence are almost as
pervasive in Diepsloot as they are in other T&IS. At the
same time, an emergent informal sector more visibly pervades
the township than seen in the average township, which makes
it a particularly useful place to study in order to develop
an understanding of the kinds of economic activities that
are feasible in townships. It focuses particularly on the
nature of business activity in the township, the key
investment-climate constraints faced by its firms, income
and expenditure patterns across households, and some
aggregative social and human indicators. In a first attempt
of its kind for a township, the report also develops a
Social Accounting Matrix (SAM) of Diepsloot for a
comprehensive and consistent picture of the place, including
the circular flow of income within the township, the nature
of its interaction with the rest of the South African
economy, and a simple multiplier analysis of its economy
Third Revision of the Global Surface Seawater Dimethyl Sulfide Climatology (DMS-Rev3)
No full textThis dataset contains all the input data and the Matlab codes for the Third Revision of the Global Surface Seawater Dimethyl Sulphide Climatology (DMS-Rev3)
Shrivardhan Hulswar, Rafel Simo, Martí Galí, Thomas G. Bell, Arancha Lana, Swaleha Inamdar, Paul R. Halloran, George Manville and Anoop S. Mahajan
*corresponding author: Anoop Sharad Mahajan ([email protected])
Details to run the code can be found in the word file: Code details.doc
Earthquake Prediction Studies Using Radon as a Precursor in N-W Himalayas, India: A Case Study
No full textFault delineation study using soil–gas method in the Dharamsala area, NW Himalayas, India
No full textFrontmatter, Table of Contents, Preface, Conference Organization, Author Index
No full textThis proceedings volume has the papers presented at the 30th annual conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2010), held at the Institute of Mathematical Sciences (IMSc), Chennai, during 15–18 December 2010.
The conference attracted 128 submissions from 35 countries in 6 continents, most of them of very high quality. We thank the authors who submitted for making this such a competitive conference. The PC succeeded in obtaining the help of 216 external reviewers, in all producing 400 referee reports which were of immeasurable help in deciding the 38 contributed papers which have made it to this publication
Third Revision of the Global Surface Seawater Dimethyl Sulfide Climatology (DMS-Rev3)
No full textThis dataset contains all the input data and the Matlab codes for the Third Revision of the Global Surface Seawater Dimethyl Sulphide Climatology (DMS-Rev3)Shrivardhan Hulswar, Rafel Simo, Martí Galí, Thomas G. Bell, Arancha Lana, Swaleha Inamdar, Paul R. Halloran, George Manville and Anoop S. Mahajan*corresponding author: Anoop Sharad Mahajan ([email protected])Details to run the code can be found in the word file: Code details.docxTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Street-Fighting Mathematics
Get PDFAn antidote to mathematical rigor mortis, teaching how to guess answers without needing a proof or an exact calculation.In problem solving, as in street fighting, rules are for fools: do whatever works—don't just stand there! Yet we often fear an unjustified leap even though it may land us on a correct result. Traditional mathematics teaching is largely about solving exactly stated problems exactly, yet life often hands us partly defined problems needing only moderately accurate solutions. This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation.In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge—from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool—the general principle—from the particular application so that the reader can most easily grasp the tool itself to use on problems of particular interest. Street-Fighting Mathematics grew out of a short course taught by the author at MIT for students ranging from first-year undergraduates to graduate students ready for careers in physics, mathematics, management, electrical engineering, computer science, and biology. They benefited from an approach that avoided rigor and taught them how to use mathematics to solve real problems.Street-Fighting Mathematics will appear in print and online under a Creative Commons Noncommercial Share Alike license
Street-Fighting Mathematics
No full textAn antidote to mathematical rigor mortis, teaching how to guess answers without needing a proof or an exact calculation. In problem solving, as in street fighting, rules are for fools: do whatever works—don't just stand there! Yet we often fear an unjustified leap even though it may land us on a correct result. Traditional mathematics teaching is largely about solving exactly stated problems exactly, yet life often hands us partly defined problems needing only moderately accurate solutions. This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation. In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge—from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool—the general principle—from the particular application so that the reader can most easily grasp the tool itself to use on problems of particular interest. Street-Fighting Mathematics grew out of a short course taught by the author at MIT for students ranging from first-year undergraduates to graduate students ready for careers in physics, mathematics, management, electrical engineering, computer science, and biology. They benefited from an approach that avoided rigor and taught them how to use mathematics to solve real problems. Street-Fighting Mathematics will appear in print and online under a Creative Commons Noncommercial Share Alike license
Street-Fighting Mathematics
No full textAn antidote to mathematical rigor mortis, teaching how to guess answers without needing a proof or an exact calculation. In problem solving, as in street fighting, rules are for fools: do whatever works—don't just stand there! Yet we often fear an unjustified leap even though it may land us on a correct result. Traditional mathematics teaching is largely about solving exactly stated problems exactly, yet life often hands us partly defined problems needing only moderately accurate solutions. This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation. In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge—from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool—the general principle—from the particular application so that the reader can most easily grasp the tool itself to use on problems of particular interest. Street-Fighting Mathematics grew out of a short course taught by the author at MIT for students ranging from first-year undergraduates to graduate students ready for careers in physics, mathematics, management, electrical engineering, computer science, and biology. They benefited from an approach that avoided rigor and taught them how to use mathematics to solve real problems. Street-Fighting Mathematics will appear in print and online under a Creative Commons Noncommercial Share Alike license
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