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    Java Multithreading: Concurrency and Parallelism

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    Java Multithreading: Concurrency and Parallelism are essential concepts in modern software development, particularly in Java, a language known for its robust support for concurrent programming. In this article, we'll explore the fundamentals of multithreading in Java, focusing on concurrency and parallelism. 1. Concurrency vs. Parallelism: - Concurrency: Concurrency is the ability of a program to execute multiple tasks simultaneously, seemingly overlapping in time. In Java, concurrency is achieved through threads. Threads allow different parts of a program to execute independently. - Parallelism: Parallelism, on the other hand, involves executing multiple tasks simultaneously, utilizing multiple CPU cores to speed up the computation. While concurrency deals with managing tasks, parallelism focuses on executing tasks concurrently on multiple processors. 2. Threads in Java: - In Java, threads are represented by instances of the `Thread` class or by implementing the ...

    Binary Search: Binary Search, Efficient Algorithms, Advanced Applications

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    How Binary Search Works Initial Setup : Start with two pointers, low and high , which represent the bounds of the search interval. Initially, low is set to 0, and high is set to the length of the array minus one. Middle Element : Calculate the middle index mid of the current interval. The middle index is computed as mid = (low + high) // 2 . Comparison : If the middle element arr[mid] is the target value, the search is complete, and the index mid is returned. If the target value is less than arr[mid] , adjust the high pointer to mid - 1 . If the target value is greater than arr[mid] , adjust the low pointer to mid + 1 . Repeat : Repeat steps 2 and 3 until the low pointer exceeds the high pointer. If the target value is not found, return -1 to indicate that the value is not in the array. Binary Search Algorithm in Python Here is the Python implementation of binary search: python def binary_search ( arr, target ): low = 0 high = len (arr) - 1 while low ...







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