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RGB Model
The RGB model is based on the assumption that any desired shade of colour can be obtained by mixing the correct amounts of red, green, and blue light. The exact hues chosen are not important as long as they include a long wavelength hue (red), a medium wavelength hue (green), and a short wavelength hue (blue). If, for instance, circular red, green, and blue beams are projected onto a white screen in a darkened room, we get the colour pattern.
The additive nature of the RGB model is very apparent. Adding red, green, and blue light produces white light, while adding red and blue light produces magenta light, and so on. This linear superposition is expressed mathematically as :
C= rR + gG + bB
I=PR/12 numbers of years : Interest Rate up to 1 years : 5.50 Up to 5 years : 6.50 More than 5 year : 6.75 please design an algorithm based on the above information
A binary tree of depth "d" is an almost complete binary tree if A) Every leaf in the tree is either at level "d" or at level "d-1" B) For any node "n" in the tree with a
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A stack is a last in, first out (LIFO) abstract data type and sequential data structure. A stack may have any abstract data type as a component, but is characterized by two fundame
/* The program accepts matrix like input & prints the 3-tuple representation of it*/ #include void main() { int a[5][5],rows,columns,i,j; printf("enter the order of
Simulation of queues: Simulation is the process of forming an abstract model of a real world situation in order to understand the effect of modifications and the effect of introdu
1) Why space complexity is comparatively more critical than time complexity? 2) Determine the space complexity of Euclid Algorithm?
how I can easily implement the bubble,selection,linear,binary searth algorithms?
Give the example of bubble sort algorithm For example List: - 7 4 5 3 1. 7 and 4 are compared 2. Since 4 3. The content of 7 is now stored in the variable which was h
(a) Describe the steps involved in the process of decision making under uncertainty. (b) Explain the following principles of decision making: (i) Laplace, (ii) Hurwicz. (c
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