Abs Max Algorithm

The Absolute Maximum Algorithm, also known as Abs Max Algorithm, is a technique used in the field of signal processing and mathematical optimization to find the maximum absolute value of a given function or data set. This algorithm is particularly useful when dealing with oscillatory or alternating signals, such as audio waves or alternating currents, where the absolute value gives a better indication of the signal's amplitude or power. The Abs Max Algorithm works by iterating through each element in the data set, comparing the absolute value of each element with the current maximum value found, and updating the maximum value if a larger value is encountered. In practical applications, the Abs Max Algorithm can be applied to a variety of tasks, such as identifying the most prominent frequency in a given signal, determining the peak-to-peak voltage of an electrical waveform, or even normalizing audio signals for playback. By identifying the maximum absolute value, the Abs Max Algorithm helps engineers and scientists better understand the properties of the signals they are working with, and make informed decisions about how to process or manipulate the data. Additionally, the simplicity of the algorithm makes it computationally efficient and easy to implement, making it a popular choice for both software and hardware implementations.
package Mathematics

object AbsMax {

	/**
	    * Method returns absolute Maximum Element from the list
	    *
	    * @param listOfElements
    	    * @return
    	*/
	def absMax(elements : List[Int]): Int = abs(elements.maxBy(x => abs(x)))

}

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