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principles of data structures using c &c++

2009-09-08 - extension: rar - size: 2 MB

principles of data structures using c &c++

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| Source: http://y8it.blogspot.com/2009/09/complete-c-and-cpp-books.html

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data-structures-and-algorithms-using-c 9780521876919 28579

2009-03-15 - extension: rar - size: 2 MB

data-structures-and-algorithms-using-c 9780521876919 28579

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| Source: http://totme.com/categories/ebooks/Data_structures_and_algorithms_using_c_07122321212683085312219636.html

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Data_Structures_And_Problem_Solving_Using_C___2nd_ed_-_Mark_Weiss pdf In response to a complaint we received under the US Digital Millennium Copyright Act (DMCA), we have removed this result.

2009-02-28 07:54:08 - 65 MB

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GCCS97 #701 Proceedings of the GCC Developers Summit 2007
From http://ols.108.redhat.com/2007/GCC-Reprints/GCC2007-Proceedings.pdf . (GIMPLE tree based) (More)

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From axons to tracts: A journey through the brain's wiring
Created by Luis Concha and Daniel Torres University of Alberta, Canada. Please note: This work is (More) Created by Luis Concha and Daniel Torres University of Alberta, Canada. Please note: This work is licensed using Creative Commons Attribution-Noncommercial-Share Alike 3.0 License. Please email me if you would like to use this video. Note: Send email to my gmail account (below). lconcha __ at ___ gmail.com http://lconcha.googlepages.com/ The complex circuitry interconnecting different areas in the brain, known collectively as white matter, is composed of millions of axons organized into fascicles and bundles. Upon macroscopic examination of sections of the brain, it is difficult to discern the orientation of the fibers. The same is true for conventional imaging modalities. However, recent advancements in magnetic resonance imaging (MRI) make such task possible in a live subject. By sensitizing an otherwise typical MRI sequence to the diffusion of water molecules it is possible to measure their diffusion coefficient in a given direction1. Normally, the axonal membrane and myelin sheaths pose barriers to the movement of water molecules and, thus, they diffuse preferentially along the axon2. Therefore, the direction of white matter bundles can be elucidated by determining the principal diffusivity of water. The three-dimensional representation of the diffusion coefficient can be given by a tensor and its mathematical decomposition provides the direction of the tracts3; this MRI technique is known as diffusion tensor imaging (DTI). By connecting the information acquired with DTI, three-dimensional depictions of white matter fascicles are obtained4. The virtual dissection of white matter bundles is rapidly becoming a valuable tool in clinical research. Our journey begins with a transverse section of tightly packed axons as seen through light microscopy. Although represented as a two-dimensional "slice", we see that these axons in fact resemble tubes. A simulation of water molecules diffusing randomly inside the axons demonstrates how the membranes and myelin hinder their movement across them and shows the preferred diffusion direction --along the axons. The tracts depicted through DTI slowly blend in and we ride along with them. As we zoom out even more, we realize that it is a portion of the corpus callosum connecting the two sides of the brain we were traveling on and the great difference in relative scale of the individual axons becomes evident. The surface of the brain is then shown, as well as the rest of the white matter bundles--a big, apparently chaotic tangle of wires. Finally, the skin covers the brain. With the exception of the simulated water molecules, all the data presented in the animation is obtained through microscopy and MRI. Computer algorithms for the extraction of the cerebral structures and a custom-built graphics engine make our journey through the brain's anatomy possible in a living person. Micrograph courtesy of Dr. Christian Beaulieu, University of Alberta. Music by Mario Mattioli. References: 1. Stejskal, E.O., et al., J. Chem. Phys., 1965. 42: 2. Beaulieu, C., NMR Biomed., 2002. 15:435-55. 3. Basser, P.J., et al., J. Magn. Reson. B, 1994. 103:247-54. 4. Mori, S., et al., NMR Biomed., 2002. 15:468-80. (Less)

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Data_Structures__Algorithms_and_Program_Style_Using_C_-_James_F _Korsh chm In response to a complaint we received under the US Digital Millennium Copyright Act (DMCA), we have removed this result.

2009-02-28 07:54:08 - 2 MB

Principles of Data Structures Using C and C++