Tim Lahey wrote: > > On Dec 18, 2008, at 4:45 AM, Fernando wrote: > >> Hello, >> >> I am a MATLAB user which it is considering to move to SAGE. Mainly, I >> use MATLAB for algorithm prototyping, simulations and data processing. >> >> For those tasks, I usually implement the code using the vectorized >> functionalities of MATLAB. This is the most efficient way to code in >> MATLAB. For example, if I want to implement the equation: >> >> z = y*sin(x) >> >> for a specific values of x and y. I should code: >> >> y = [3 6 7]; >> x = [1 2 3]; >> z = y.*sin(x); >> >> Could someone tell me which is the best way to code this kind of >> operations in SAGE?
I second what Tim said. Here is an example session using numpy in Sage: sage: import numpy sage: y=numpy.array([3,6,7]).astype(int) sage: x=numpy.array([1,2,3]).astype(int) sage: z=y*numpy.sin(x) sage: z array([ 2.52441295, 5.45578456, 0.98784006]) Jason --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to sage-support@googlegroups.com To unsubscribe from this group, send email to sage-support-unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sage-support URLs: http://www.sagemath.org -~----------~----~----~----~------~----~------~--~---
