Articles — University

Template details (c) 2002 Matthew Boedicker (original author) http://mboedick.org (c) 2003-2007 David J. Grant http://www.davidgrant.ca (c) 2008 Nathaniel Johnston http://www.nathanieljohnston.com (l) 2012 Arun I B http://www.ee.iitm.ac.in/~ee10s026/ This work is licensed under the Creative Commons Attribution-Noncommercial-Share Alike 2.5 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/2.5/ or send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA.

Orientações aos estudantes que ingressam no Programa de Pós-Graduação em Ecologia da USP.

coursework

homework2(applied math)

En este documento se muestra un acercamiento identificación de especies arbóreas mediante Histogramas De Gradientes Orientados y maquinas de soporte Vectorial.

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Kvantno Izračunavanje(Quantum Computing) je, kao grana Prirodnog Izračunavanje(Natural Computing), jedna od najmlađih znanosti Teorijske Kompjuterske Nauke koja koristi stanje superpozicije kvantnog sistema i preplitanje(entanglement) kao gradivne elemente izračunljivosti. Zašto Kvantno Izračunavanje? Naime, već na kraju ovog rada u kome ćemo dati generalni pregled osnova Kvantnog Izračunavanja, ćemo uvidjeti velike prednosti spram klasičnog izračunavanja. Rad je struktuiran tako da uvede čitaoca u osnove ove teorije koja se u mnogome razlikuje od ostalih metoda izračunavanja. Tako ćemo najprije uvesti gradivni element informacije u Kvantom Izračunavanju(Kvantni bit), zatim ćemo se upoznati sa jednim od načina manipulacije informacije na kvantom nivou(Kvantna kola). Nakon toga prelazimo na dva primjera primjene kvantih kola pri formiranju kvantnih algoritama i na kraju ćemo navesti neke prednosti i zanimljivosti Kvantnog Izračunavanja. Čitalac će na kraju imati generalni uvid u ovu znanost i poznavati njene osnovne osobine.

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This paper addresses the issue of bank lending channel in Brazil using monthly aggregate data in the range 1995/2010, in a structural cointegrated VAR. Following techniques previously used by Huelsewig et al (2005) and Walsh and Wilcox (1995) and applying a VECM model, it is estimated the response of bank loans to a monetary policy shock and to identify demand and supply of loans. The results show evidence of the operation of the credit channel in Brazil, and through the historical decomposition of the variance observes the role of credit in the performance of industrial product during recent phases of expansion and contraction of the Brazilian economy. Keywords: Bank Lending Channel, VECM, Monetary Policy.