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Ekerdt of the University of Texas. Although our initial goals were somewhat vague, we knew that we wanted to create something that would enable students to solve realistic problems, and that they could use for many things other than chemical reactor design problems.
We find that most students pick up the basics of Octave quickly, and are using it confidently in just a few hours. Although it was originally intended to be used to teach reactor design, it has been used in several other undergraduate and graduate courses in the Chemical Engineering Department at the University of Texas, and the math department at the University of Texas has been using it for teaching differential equations and linear algebra as well.
Tens of thousands of students participated in the course. If you find Octave useful, please let us know. We are always interested to find out how Octave is being used. Virtually everyone thinks that the name Octave has something to do with music, but it is actually the name of one of John W.
We hope that this software will make it possible for many people to do more ambitious computations just as easily. You are also encouraged to help make Octave more useful by writing and contributing additional functions for it, and by reporting any problems you may have. The following people have helped code parts of Octave or aided in various other ways listed alphabetically.
Godfrey Tomislav Goles Michael C. Joshua Rigler Matthew W. Schraudolph Ludwig Schwardt Dmitri A. Ahalt of the Ohio Supercomputer Center. This project would not have been possible without the GNU software used in and to produce Octave. Citing Octave in Publications In view of the many contributions made by numerous developers over many years it is common courtesy to cite Octave in publications when it has been used during the course of research or the preparation of figures.
The citation function can automatically generate a recommended citation text for Octave or any of its packages. See the help text below on how to use citation.One of the features that NumPy provides is a class vectorize to convert an ordinary Python function which accepts a Numpy array.
Consider also the function benjaminpohle.com_if_close which transforms a complex-valued number with and the time points to obtain a solution, t, (with the initial value point as the first element of this sequence).
ValueError: setting an array element with a sequence numpy Hot Network Questions An animal that is physically separated into multiple parts.
Vectorizing functions (vectorize) One of the features that NumPy provides is a class vectorize to convert an ordinary Python function which accepts scalars and returns scalars into a “vectorized-function” with the same broadcasting rules as other Numpy functions 8 Chapter 1.
NumPy provides an N-dimensional array type, the ndarray, which describes a collection of “items” of the same type.
The items can be indexed using for example N integers. An item extracted from an array, e.g., by indexing, is represented by a Python object whose type is one of the array scalar. ValueError: setting an array element with a sequence.
vectorize constructs a empty result array, and tries to put the result of each calculation in it. But a cell of the target array cannot accept an array. If classname is a cell array of string, a logical array of the same size is returned, containing true for each class to which obj belongs to.
See also: [class], page 39, [typeinfo], page cast (val, "type") Convert val to data type type.