Contents

## What is smooth approximation?

In mathematics, a smooth maximum of an indexed family x1., xn of numbers is a smooth approximation to the maximum function meaning a parametric family of functions such that for every α, the function is smooth, and the family converges to the maximum function as . The concept of smooth minimum is similarly defined.

### Which method gives best approximation?

Because a generalized Fourier series is used to develop the approxi mator, a “best approximation” is achieved in the “least-squares” sense; hence the name, the Best Approximation Method.

**What is the best linear approximation?**

The slope of that line is the derivative and is the best linear approximation for the function near that point. If any linear approximations fit better zoomed in that closely then by definition it would be closer to the slope of the function at that point then the derivative of the function at that point.

**Can Taylor series be exact?**

Every Taylor series provides the exact value of a function for all values of x where that series converges. That is, for any value of x on its interval of convergence, a Taylor series converges to f(x). A convergent Taylor series expresses the exact value of a function.

## Is Softmax smooth?

The name “softmax” is misleading; the function is not a smooth maximum (a smooth approximation to the maximum function), but is rather a smooth approximation to the arg max function: the function whose value is which index has the maximum.

### Is absolute value a smooth function?

The absolute function is not “smooth”. A smooth function is one for which the first derivative is continuous. The first derivative of the absolute function f(x) = |x| is 1 on the open interval (0, infinity)—-that is for all positive values of x but excluding x = 0.

**What is penalty in Vogel approximation method?**

Note: Vogel’s Approximation Method is also called as Penalty Method because the difference costs chosen are nothing but the penalties of not choosing the least cost routes.

**What are different types of approximation techniques?**

Approximate methods may be divided into three broad interrelated categories; “iterative,” “asymptotic,” and “weighted residual.” The iterative methods include the development of series, methods of successive approximation, rational approximations, and so on.

## How do you know if a linear approximation is over or under?

If the graph is concave down (second derivative is negative), the line will lie above the graph and the approximation is an overestimate.

### How do you solve linear approximation?

How To Do Linear Approximation

- Find the point we want to zoom in on.
- Calculate the slope at that point using derivatives.
- Write the equation of the tangent line using point-slope form.
- Evaluate our tangent line to estimate another nearby point.

**How do you know if its a Taylor series?**

If the right-hand side of Taylor’s inequality goes to 0 as N → ∞, then the remainder must go to 0 as well, and hence for those x values, the function matches its Taylor series.

**How do you prove Taylor’s theorem?**

The proof of the mean-value theorem comes in two parts: first, by subtracting a linear (i.e. degree 1) polynomial, we reduce to the case where f(a) = f(b) = 0. Next, the special case where f(a) = f(b) = 0 follows from Rolle’s theorem.