PUBLIC MARKS with search octave

GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab. It may also be used as a batch-oriented language.

T. Ier. Soixante-quinze gravures à l'eau-forte par A. Lalauze. Prélude iconographique par Octave Uzanne ; T. II. Soixante-seize gravures à l'eau-forte par A. Lalauze. Causerie préliminaire par Armand Silvestre ; T. III. Soixante-dix-huit biographies, notices, autographes et portraits ; T. IV. Soixante-quinze biographies, notices, autographes et portraits. Préf. de Jules Claretie ; T. V. Soixante-dix-huit biographies, notices, autographes et portraits gravés sur bois par D. Quesnel, A. Brauer, H. Sorensen, A. Prunaire et P. Leyat. Lettre-préf. de O. Roty ; T. VI. Soixante-dix-huit biographies, notices, autographes et portraits gravés sur bois par A. Brauer, P. Leyat, D. Quesnel et H. Sorensen. Causerie préliminaire par Maurice Bouchor ; T. VII. Soixante-dix-huit biographies, notices, autographes et portraits, gravés sur bois par A. Brauer, W. Lenders, P. Leyat, A. Prunaire et D. Quesnel. Orné d'une gravure sur bois d'après un tableau de F. Roybet, augm. d'une table générale, par ordre alphabétique et par t., de toutes les personnalités parues dans les sept volumes déjà publiés ; Tome VIII. Quatre-vingts portraits, autographes, notices et biographies rédigées par Joseph Uzanne. Gravures sur bois de A. Brauer, Marius Clément, W. Lenders, P. Leyat, A. Prunaire et D. Quesnel. Augm. d'une table générale, par ordre alphabétique et par tome, de toutes les personnalités parues dans les 8 volumes actuellement publiés ; T. IX. Quatre-vingts portraits, autographes, notices et biographies réd. par Joseph Uzanne. Gravures sur bois de Henri Brauer, Marius Clément, W. Lenders. A. Prunaire et D. Quesnel. Augm. d'une récapitulation générale, divisée par tomes, des personnalités parues dans chacun des 9 volumes actuellement publiés ; T. X. Soixante-seize portraits, autographes, notices et biographies, rédigées par Joseph Uzanne. Gravures sur bois de Henri Brauer, Charles Clément, D. Quesnel. Augmenté d'une table générale, par ordre alphabétique, des personnalités parues dans les 10 volumes actuellement publiés

A few years ago I «fell in love» with Python , which is a dynamically typed interactive, object oriented scripting language. With a few extensions I found it very suitable for efficient visualization and problem solving in Scientific computing. So can it replace Matlab? For me its pretty close! For you? It depends on your needs, but have a look! Why I use Python * Python is a small, high level scripting language that sits on top of a efficient C library. Because of this, Python code is compact, and the resulting code can run at a speed close to C if the computationally intensive parts are done via library calls. * Short learning curve - I was almost instantly productive. * Python can be used interactively (like matlab), and documentation for most functions can be accessed via a built in help facility. * It is free (also in this regard) * The syntax invites you to write clean code. No ;'s at the end of lines, the block structure is described by indentation instead of Begin-End or {..}. Through the Numeric/numarray modules one gets powerful array syntax - inspired by languages such as Fortran 90, Matlab, Octave, Yorick etc. Python itself has also borrowed features from e.g. Lisp, with its interactivity and built in support for list manipulation. * Python has many other useful modules built in, one may for instance write a web server in just a few lines of code or work transparently with gzipped files (handy for analyzing large ascii data files) * Linking in and reusing Fortran subroutines is very easy using e.g. f2py mentioned below, or the Pyfort module found on www.python.org. Integration with C is of course even tighter since the most popular python is written in C. (yes. there is a java python...) * It is possible to work in single precision, which is sufficient for most scientific purposes. This makes it easier to work with large datasets/arrays using only half the memory compared to e.g. matlab. As my basic setup I use Python with the following extensions: Numpy: a.k.a. Numeric python, contain the advanced array syntax, as well as powerful and commonly used functions that can be applied to the multi dimensional arrays. Pygist: Gist is a very fast graphics library for 2D and 3D plots written directly for X11, but also ported to Mac and Windows. Gist is a part of the Yorick language. Pygist contain the Python bindings, read about it here. A recent version of Pygist can be found here. Pygist is currently also a part of a distribution of Python packages called Scipy, that can be found here. f2py: Makes connecting Fortran subroutines a breeze! Also a part of Scipy. A complete example: wrap this subroutine in a Python function returning "dist": [avle@tindved test]$ cat r1.f90 subroutine r1(x,y,n,dist) real x(n),y(n) !f2py intent(out) dist xl=0.0 ; yl=0.0 ; vp=0.0 do i=1,n xl=xl + x(i)**2 ; yl=yl + y(i)**2 vp=vp + x(i)*y(i) end do if(vp>=0.0)then dist = acos(sqrt(vp/(xl*yl))) else dist = 4*atan(1.0)-acos(sqrt(-vp/(xl*yl))) end if end subroutine r1 [avle@tindved test]$ ls r1.f90 [avle@tindved test]$ f2py -c -m r1 --fcompiler=g95 r1.f90 ..lots of output... [avle@tindved test]$ ls r1.f90 r1.so* [avle@tindved test]$ python2 Python 2.2.3 (#1, Feb 15 2005, 02:41:06) [GCC 3.2.3 20030502 (Red Hat Linux 3.2.3-49)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import Numeric as nx, r1 >>> a=nx.array((2.3,2.2)) ; b=nx.array((3.2,2.1)) >>> r1.r1(a,b) 1.2827057838439941 >>>

L'octobasse, sorte de contre-contrebasse, émet des sons d'une octave plus basse que la contrebasse.

L'octobasse, sorte de contre-contrebasse, émet des sons d'une octave plus basse que la contrebasse.

LilyComp is a graphical note entry program for use with the LilyPond music typesetting program. I am in no way connected with LilyPond, so do not blame them for the quality of this program. This program was written to speed up the creation of lead sheets. It just enters notes and rests with the indicated duration. Do not expect to enter anything too fancy, although a couple of other common items like ties, slurs, and measure bars are supported as well. LilyComp is not like Rosegarden or NoteEdit. Think of LilyComp as the number pad on your keyboard; it is just for quick data entry. The target user of LilyComp would be someone who knows a little music notation, but is not an expert. I play accoustic guitar, so I am more interested in the chords and note timing than the note pitches. I have difficulty transcribing a lead sheet from other more complicated sheet music quickly. If the music is in C Major I am quick enough, but add four sharps, and I slow down a lot. The idea with LilyComp is that you do not need to know hardly anything. You just look at the sheet music, find the corresponding note on the LilyComp window, and push the button. I can extract a melody from a complicated score in a few minutes using this technique. The notes may be excessively notated (lots of commas or apostrophes) because they are all absolute (relative is not used.) Likewise, the duration is always included even if the previous duration is the same. I do this so that I can cut and paste fearlessly. I don't have to worry about changing the duration or octave of a note accidentally. LilyComp is written in pure Python. If you care to do so, it is very trivial to add clefs or ledger lines if you need more. I use English notation (C# = cs); if you do not use that notation you can change a pair of variables near the top of the script to redefine the default behaviour. Also, in case you are wondering, the name LilyComp is the combination of LilyPond and Composer. As I was programming the first version, I kept thinking of it as my "LilyPond composer", so when it came time to save the file I just typed lilycomp.py. Now that I am releasing this for other people to use, I wish I had picked something catchier. :) By the way, free use of this software is granted under the terms of the GNU General Public License (GPL). See the LICENSE file in the distributed package for details.

Free online MIDI Editor for creating polyphonic ringtones from scratch,increase,decrease,change ringtone volume,edit the desired portion of a midi file,converting from polyphonic ringtone to truetone and truetone to polyphonic ringtone formats,transpose octave,change tempo of MIDI etc

Musician & Web designer

Generating a true sinewave from an input square wave over an octave in frequency is not simple.

Onlinie utilities. Interesting for the online Octave access.

This document describes how to perform common tasks in 6.302 using Octave, Scilab, and Matlab. The first two software packages are free alternatives to Matlab, and their use is encouraged.

GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that

...extremely GUIs

GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that