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There are two main recursive patterns that can be formed with 4 and 7 as the first two terms. The first pattern is adding 3 to the previous term to get the next term, resulting in the sequence 4, 7, 10, 13, and so on. The second pattern is multiplying by 1.75 to get the next term, leading to the sequence 4, 7, 12.25, 21.4375, and so forth. These are the two most common recursive patterns that can be identified with 4 and 7 as the initial terms.

Oh, what a happy little question! With 4 and 7 as our first two terms, we can create many beautiful recursive patterns. You can explore patterns like adding the two previous terms to get the next term, subtracting one from the other, or even multiplying them together. Let your imagination run wild and see the endless possibilities unfold on your canvas of numbers.

Oh, dude, recursive patterns with 4 and 7 as the first two terms? Let me think... Well, technically, you can have an infinite number of recursive patterns with those two terms, like adding 3 to get the next term or multiplying by 2 and subtracting 1. It's all about how creative you want to get with those numbers. So, like, the possibilities are endless, man.

Q: How many different recursive patterns can you find with 4 and 7 as the first 2 terms?

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An explicit rule defines the terms of a sequence in terms of some independent parameter. A recursive rule defines them in relation to values of the variable at some earlier stage(s) in the sequence.

In this case, 22 would have the value of 11.

10,11,12,13,14 or 8,10,12,14,16

The powers of x in the two terms are different.The powers of x in the two terms are different.The powers of x in the two terms are different.The powers of x in the two terms are different.

DISIMILAR TERMS are terms with different variables while the similar terms has the same variable!

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No, patterns with terms that are not based upon previous terms are not recursive. Example: i * i where i is the nth term of the pattern.

Infinitely many. For example: Un+1 = Un + 3 or Un+1 = 2*Un - 1 or Un+1 = 3*Un - 5 or, more generally, Un+1 = k*Un + 7 - 4*k where k is any number. Each one of them will be different from the third term onwards. These are linear patterns. There are quadratic and other recursive relationships.

It is a term for sequences in which a finite number of terms are defined explicitly and then all subsequent terms are defined by the preceding terms. The best known example is probably the Fibonacci sequence in which the first two terms are defined explicitly and after that the definition is recursive: x1 = 1 x2 = 1 xn = xn-1 + xn-2 for n = 3, 4, ...

Each term, except the first two, in the Fibonacci sequence is defined in terms of terms that went earlier in the sequence. That is the meaning of "recursive". t(1) = 1 t(2) = 1 t(n+2) = t(n) + t(n+1) for n = 1, 2, 3, ...

An explicit rule defines the terms of a sequence in terms of some independent parameter. A recursive rule defines them in relation to values of the variable at some earlier stage(s) in the sequence.

A base case is the part of a recursive definition or algorithm which is not defined in terms of itself.

A base case is the part of a recursive definition or algorithm which is not defined in terms of itself.

A: Un+1 = Un + d is recursive with common difference d.B: Un+1 = Un * r is recursive with common ratio r.C: The definition seems incomplete.A: Un+1 = Un + d is recursive with common difference d.B: Un+1 = Un * r is recursive with common ratio r.C: The definition seems incomplete.A: Un+1 = Un + d is recursive with common difference d.B: Un+1 = Un * r is recursive with common ratio r.C: The definition seems incomplete.A: Un+1 = Un + d is recursive with common difference d.B: Un+1 = Un * r is recursive with common ratio r.C: The definition seems incomplete.

a pattern is a pattern guys come on u shoul know that is really very esay i want tell you the answerthink by your self

A recursive call in an algorithm is when a function (that implements this algorithm) calls itself. For example, Quicksort is a popular algorithm that is recursive. The recursive call is seen in the last line of the pseudocode, where the quicksort function calls itself. function quicksort('array') create empty lists 'less' and 'greater' if length('array') ≤ 1 return 'array' // an array of zero or one elements is already sorted select and remove a pivot value 'pivot' from 'array' for each 'x' in 'array' if 'x' ≤ 'pivot' then append 'x' to 'less' else append 'x' to 'greater' return concatenate(quicksort('less'), 'pivot', quicksort('greater'))

A recursive function is one in which the value of a function at each point depends on its value at one or more previous points. A rercursive function requires the first few values to be defined normally - these are called bases. Perhaps one of the most famous recursive function is the Fibonacci series, which has f(1) = 1 f(2) = 1 f(n) = f(n-1) + f(n-2) for n = 3, 4, 5, ... There are two bases and each subsequent value is defined in terms of the preceding two.

By definition, recursion means the repeated application of a recursive definition or procedure. It is used to define an object in terms of itself in computer science and mathematical logic.