Find Answers
Get Study Tools
Get your homework help
23 Areas of Math We Help With
30k+ Questions answered
2 min avg time to find the answer
20b(4b3)3
Find the first and second derivatives involving differences, products, and quotients. y=x3+7x
See answers (2)
Find the radius of convergence and interval of convergence for ∑ n = 1 ∞ n x n 2 n
If 3 ordinary coins are tossed, write out a sample space. Part of the sample space is the. Type 3 more outcomes for the sample.
The definition of a linear program is following:Find a vector x such that: min c T x, subject to A x = b and x ≥ 0.Generally, b is assumed to be a fixed constant. However is it possible to construct a program where values of b are part of the optimization? Could I included b in the optimization by changing A x = b to A x − b = 0. If so, would I also be able to place constraints upon b like ∑ b = 1 and 1 > b > 0? Finally, would such a program be possible to solve efficiently?I am trying to solve the linear program for Wasserstein Distance between two discrete distributions. In the standard case, b represents the marginals for each datapoint. I know the marginals for the target distribution but the marginals from my source distribution are unknown. I am wondering if there is an efficient way to optimize the marginals for my source distribution such that the Wasserstein distance is minimized.
See answers (1)
log10x=2aandlog10y=b2 write 10a in terms of x
Probability vs ConfidenceMy notes on confidence give this question:An investigator is interested in the amount of time internet users spend watching TV a week. He assumes σ=3.5 hours and samples n=50 users and takes the sample mean to estimate the population mean μ.Since n=50 is large we know that X―−μσn approximates the Standard Normal. So, with probability α=0.99, the maximum error of estimate is E=zα2×σn≈1.27 hours.The investigator collects that data and obtain X―=11.5 hours. Can he still assert with 99% probability that the error is at most 1.27 hours?With the answer that:No he cannot, because the probability describes the method/estimator, not the result. We say that "we conclude with 99% confidence that the error does not exceed 1.27 hours."I am confused. What is this difference between probability and confidence? Is it related to confidence intervals? Is there an intuitive explanation for the difference?
How to solvesec2x+3csc2x=8
to 4x^2y"+17y=0, y(1)=-1, y'(1)= -1/2
Prices starting at $5/week., cancel anytime
Step-by-step solutions on your subject developed by experts