Stochastic Mechanical Systems
To understand the phenomena associated with such stochastic processes and to predict, at least qualitatively, the behavior of mechanical systems within environments which are completely random in time, new mechanical tools are necessary. Fortunately, the derivation of these tools does not necessita...
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North Texas State College
1960
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ndltd-unt.edu-info-ark-67531-metadc1304532019-03-20T17:09:56Z Stochastic Mechanical Systems Bost, Robert Berton stochastic processes mechanical vibration Fourier integral transform Stochastic systems. Statistical mechanics. Machinery -- Vibration. To understand the phenomena associated with such stochastic processes and to predict, at least qualitatively, the behavior of mechanical systems within environments which are completely random in time, new mechanical tools are necessary. Fortunately, the derivation of these tools does not necessitate a complete departure from existing theories. In fact, they may be considered as an extension of the well-defined theory of the integral transform, in particular, the exponential Fourier integral transform. North Texas State College Ellis, Jason Cooke, J. V. 1960-08 Thesis or Dissertation iv, 32 leaves : ill. Text call-no: 379 N81 no.2744 local-cont-no: n_02744 untcat: b2487397 https://digital.library.unt.edu/ark:/67531/metadc130453/ ark: ark:/67531/metadc130453 English Public Copyright Copyright is held by the author, unless otherwise noted. All rights reserved. Bost, Robert Berton |
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NDLTD |
language |
English |
format |
Others
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sources |
NDLTD |
topic |
stochastic processes mechanical vibration Fourier integral transform Stochastic systems. Statistical mechanics. Machinery -- Vibration. |
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stochastic processes mechanical vibration Fourier integral transform Stochastic systems. Statistical mechanics. Machinery -- Vibration. Bost, Robert Berton Stochastic Mechanical Systems |
description |
To understand the phenomena associated with such stochastic processes and to predict, at least qualitatively, the behavior of mechanical systems within environments which are completely random in time, new mechanical tools are necessary. Fortunately, the derivation of these tools does not necessitate a complete departure from existing theories. In fact, they may be considered as an extension of the well-defined theory of the integral transform, in particular, the exponential Fourier integral transform. |
author2 |
Ellis, Jason |
author_facet |
Ellis, Jason Bost, Robert Berton |
author |
Bost, Robert Berton |
author_sort |
Bost, Robert Berton |
title |
Stochastic Mechanical Systems |
title_short |
Stochastic Mechanical Systems |
title_full |
Stochastic Mechanical Systems |
title_fullStr |
Stochastic Mechanical Systems |
title_full_unstemmed |
Stochastic Mechanical Systems |
title_sort |
stochastic mechanical systems |
publisher |
North Texas State College |
publishDate |
1960 |
url |
https://digital.library.unt.edu/ark:/67531/metadc130453/ |
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AT bostrobertberton stochasticmechanicalsystems |
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1719004657957732352 |