Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
1
vote
0
answers
48
views
Numerically inverting an exponentially growing function (defined by Chebyshev polynomials)
The function $M(t)$ will be solved numerically with some sort of spectral collocation method with a polynomial basis (see below). … find the appropriate $M$, and then use some sort of interpolation to find the approximating $q(M)$, but I would prefer an approach that has a chance of using auto-differentiation by throwing it into my collocation …
0
votes
3
answers
558
views
Calculating integrals for a function approximated by Chebyshev polynomials
Setup (complete, but all very standard):
My problem is how to best calculate the cumulative integral of a function which comes out of Spectral Collocation with a chebyshev basis. … end{align}
Which gives the complete set of integrals as,
$$
\vec{F} =\Omega \cdot (\vec{f}(0:N) + \vec{f}(1:N+1))\in\mathbb{R}^{N+2}
$$
This is especially useful for me because I am solving a spectral collocation …