I want to compute the vector, s = A B u, where s and u are N-dimensional complex vector, A is a N-by-M complex matrix, B is M-by-N complex matrix. Which of the following two ways has better accuracy
Does there exist a simple, cheatsheet-like document which compiles the best practices for mathematical computing in R? Does anyone have a short list of their best-practices? E.g., it would include ite
Using double type I made Cubic Spline Interpolation Algorithm. That work was success as it seems, but there wa开发者_StackOverflow社区s a relative error around 6% when very small values calculated.
Monniaux\'s 开发者_开发技巧excellent article, \"The Pitfalls of Verifying Floating Point Arithmetic\", gives examples of unexpected numerical behavior. However, most of the examples depend on extended
I\'m working on a pr开发者_高级运维oject and have found myself in a situation where I need a function to be able to get at least an approximation of the value of W(x), the Lambert W function, where x
I am doing some floating point calculations and the results are not as accurate as I want them to be.
Let D be the area bounded by a series of points {x_i,y_i} (1<=i<=N).(The area need not to be convex and the points are supposed to go along the boundary curve.)
I would like to calculate (1.0-p)^n where p is a double be开发者_如何学Ctween 0 and 1 (often very close to 0) and n is a positive integer that might be on the order of hundreds or thousands (perhaps l
Given matrix produ开发者_如何学编程ct C = A*B, is there N^2 way to estimate max value in C?Or rather what is a good way to do so?How about this:
How can I solve this equation x3开发者_StackOverflow社区 + x - 1 = 0 using fixed point iteration?
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