Reputation
895
Top tag
Next privilege 1,000 Rep.
Create new tags
Badges
1 9 28
Impact
~79k people reached

Jan
20
accepted Asymptotic Expansion of a Multiscale Partial Differential Equation
Jan
19
accepted Taylor Series for functions $f:R^n\rightarrow R^n$
Jan
19
answered Asymptotic Expansion of a Multiscale Partial Differential Equation
Jan
19
asked Asymptotic Expansion of a Multiscale Partial Differential Equation
Jan
15
comment Taylor Series for functions $f:R^n\rightarrow R^n$
@GiuseppeNegro: What form does it take then?
Jan
15
asked Taylor Series for functions $f:R^n\rightarrow R^n$
Jan
15
awarded  Yearling
Jan
9
accepted Determining the effective coefficient in a boundary value problem.
Jan
9
comment Determining the effective coefficient in a boundary value problem.
Oh, I see now... It was staring at me in my face and I didn't even realize it. So, using the derived formula, I can simply apply the condition $u(1)=1$ into the formula and solve for $-q_0$. I can't believe it was that simple! Thanks, PavelM.
Jan
9
revised Determining the effective coefficient in a boundary value problem.
added relevant tags
Jan
8
asked Determining the effective coefficient in a boundary value problem.
Dec
11
asked What is the proper topological term for a region with a single hole?
Sep
23
awarded  Disciplined
Sep
23
awarded  Peer Pressure
Sep
15
comment Understanding the notation of the gradient of a vector function
Is the product in the notation $A\cdot B$ called a "tensor product" or a "tensor dot product"? Is there a special name for this product?
Sep
15
comment Understanding the notation of the gradient of a vector function
So then, $\nabla v$ is equivalent to the jacobian of v! That's cool!
Sep
15
comment Understanding the notation of the gradient of a vector function
Awesome! Thank you, @enzotib! :)
Sep
15
accepted Understanding the notation of the gradient of a vector function
Sep
15
comment Understanding the notation of the gradient of a vector function
According to the book, the final result $\sigma\cdot\nabla v^T$ is supposed to be a scalar quantity. Your final result seems to be a vector, if I'm not mistaken...
Sep
15
comment Understanding the notation of the gradient of a vector function
So the gradient of a vector is a matrix then, right?