linear approximation การใช้

• However, this is really an artifact of the linear approximation.
• This is a natural inverse of the linear approximation to tetration.
• This is equivalent to the existence of the following linear approximation
• However, for weak fields, a linear approximation can be made.
• The differential is the best linear approximation of a function from to.
• There are also techniques for iteratively improving linear approximations ( Matsui 1994 ).
• Instead of working with full polynomials, we can use a linear approximation.
• Then you could do the same linear approximation discussed previously, from there.
• The tangent line is the best linear approximation of the function near that input value.
• The following theorem states that a Karhunen-Lo鑦e basis is optimal for linear approximations.
• This is because near the point, the function has a linear approximation with slope:
• The piecewise linear approximations are obtained from
• Examples are methods such as Newton's method, fixed point iteration, and linear approximation.
• In some situations such as numerical analysis, a piecewise linear approximation to the identity is desirable.
• The linear approximation is important for maintaining a mathematically tractable analysis of systems perturbed by noisy inputs.
• This equation represents the best linear approximation of the function at all points within a neighborhood of.
• To get physical results, we can either turn to perturbation methods or linear approximations of the Einstein tensor.
• In the linear approximation that leads to the above acoustic equation, the time average of this flux is zero.
• Taking the best linear approximation in a single direction determines a partial derivative, which is usually denoted } }.
• It can be shown that  to a linear approximation  it is always possible to make the field traceless.