logarithmically convex造句
例句與造句
- An important example of a logarithmically convex function is the gamma function on the positive reals ( see also the Bohr Mollerup theorem ).
- The intersection of logarithmically convex Reinhardt domains is still a logarithmically convex Reinhardt domain, so for every Reinhardt domain, there is a smallest logarithmically convex Reinhardt domain which contains it.
- The intersection of logarithmically convex Reinhardt domains is still a logarithmically convex Reinhardt domain, so for every Reinhardt domain, there is a smallest logarithmically convex Reinhardt domain which contains it.
- The intersection of logarithmically convex Reinhardt domains is still a logarithmically convex Reinhardt domain, so for every Reinhardt domain, there is a smallest logarithmically convex Reinhardt domain which contains it.
- The Bohr Mollerup theorem proves that these properties, together with the assumption that be logarithmically convex ( or " super-convex " ), uniquely determine for positive, real inputs.
- It's difficult to find logarithmically convex in a sentence. 用logarithmically convex造句挺難的
- A logarithmically convex function " f " is a convex function since it is the increasing convex function \ exp and the function \ log \ circ f, which is supposed convex.
- The converse is not always true : for example g : x \ mapsto x ^ 2 is a convex function, but { \ log } \ circ g : x \ mapsto \ log x ^ 2 = 2 \ log | x | is not a convex function and thus g is not logarithmically convex.
- Harald Bohr and Johannes Mollerup then proved what is known as the " Bohr Mollerup theorem " : that the gamma function is the unique solution to the factorial recurrence relation that is positive and " logarithmically convex " for positive and whose value at 1 is 1 ( a function is logarithmically convex if its logarithm is convex ).
- Harald Bohr and Johannes Mollerup then proved what is known as the " Bohr Mollerup theorem " : that the gamma function is the unique solution to the factorial recurrence relation that is positive and " logarithmically convex " for positive and whose value at 1 is 1 ( a function is logarithmically convex if its logarithm is convex ).