Please explain the method of steepest descent?

  • Thread starter Thread starter wishfulthinking
  • Start date Start date
  • Tags Tags
    Explain Method
wishfulthinking
Messages
5
Reaction score
0
I am not understanding how to use the method of steepest descent aka the saddle point method. Any help would be appreciated, especially step-by-step explanation!
 
Mathematics news on Phys.org
wishfulthinking said:
I am not understanding how to use the method of steepest descent aka the saddle point method. Any help would be appreciated, especially step-by-step explanation!

The method of steepest descent, or gradient descent, is a means of using the gradient of a function to perform an optimization:

http://en.wikipedia.org/wiki/Gradient_descent

You can find many more articles on such a procedure by Googling 'method of steepest descent' or 'method of gradient descent'.
 
Thanks, I did Google the method, but I'm still not quite sure how to use it.
 
wishfulthinking said:
Thanks, I did Google the method, but I'm still not quite sure how to use it.
Well, how familiar are you with using root finding algorithms on single variable equations, like finding the roots of polynomials?

Roughly speaking, steepest descent is an analogous method for functions of two or more variables, where you are trying to find the point at which the function reaches a local maximum or minimum.
 
Thanks for taking the time out to reply. Specifically, I'm being asked to approximate an integral using the method. I've never learned this before and it's not in our textbook. My teacher said to look for outside resources, I'm just not understanding it and was hoping someone could explain it to me.
 
wishfulthinking said:
Thanks for taking the time out to reply. Specifically, I'm being asked to approximate an integral using the method. I've never learned this before and it's not in our textbook. My teacher said to look for outside resources, I'm just not understanding it and was hoping someone could explain it to me.

Well, this technique is used to approximate certain contour integrals, as discussed here:

http://en.wikipedia.org/wiki/Method_of_steepest_descent

Since you know more about the type of integral you are trying to approximate, you're the one best suited to do the research. ;)
 
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. In Dirac’s Principles of Quantum Mechanics published in 1930 he introduced a “convenient notation” he referred to as a “delta function” which he treated as a continuum analog to the discrete Kronecker delta. The Kronecker delta is simply the indexed components of the identity operator in matrix algebra Source: https://www.physicsforums.com/insights/what-exactly-is-diracs-delta-function/ by...
Fermat's Last Theorem has long been one of the most famous mathematical problems, and is now one of the most famous theorems. It simply states that the equation $$ a^n+b^n=c^n $$ has no solutions with positive integers if ##n>2.## It was named after Pierre de Fermat (1607-1665). The problem itself stems from the book Arithmetica by Diophantus of Alexandria. It gained popularity because Fermat noted in his copy "Cubum autem in duos cubos, aut quadratoquadratum in duos quadratoquadratos, et...
Thread 'Imaginary Pythagorus'
I posted this in the Lame Math thread, but it's got me thinking. Is there any validity to this? Or is it really just a mathematical trick? Naively, I see that i2 + plus 12 does equal zero2. But does this have a meaning? I know one can treat the imaginary number line as just another axis like the reals, but does that mean this does represent a triangle in the complex plane with a hypotenuse of length zero? Ibix offered a rendering of the diagram using what I assume is matrix* notation...
Back
Top