Sliding Window Pattern Explained with Problem | DSA Concept in 2 Minutes
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Sliding Window Pattern Explained with Problem | DSA Concept in 2 Minutes
This video explains the Sliding Window pattern using a real problem: Find the maximum sum of any K consecutive elements in an array. The Sliding Window technique is used to reduce brute-force O(n²) solutions to O(n). It is especially useful when you're working with: - Subarrays of fixed size - Continuous ranges in arrays - Time-based problems ...
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31. Draw a timeline diagram for the sliding window algorithm with SWS = RWS = 3 frames, forthe following two situations. Use a timeout interval of about 2 ×RTT.(a) Frame 4 is lost.(b) Frames 4 to 6 are lost.Hints/Help: Look at extra problem #32 for a timeline example. In this problem, assume that ittakes (1)/(4) RTT to transmit a frame. Use a timeout of 2 RTT.a) When frames 5 and 6 are received no ack is sent. An ack is sent for frames 4,5 and 6 oncethe retransmitted frame 4 is received.Somethin
31. Draw a timeline diagram for the sliding window algorithm with SWS = RWS = 3 frames, forthe following two situations. Use a timeout interval of about 2 ×RTT.(a) Frame 4 is lost.(b) Frames 4 to 6 are lost.Hints/Help: Look at extra problem #32 for a timeline example. In this problem, assume that ittakes (1)/(4) RTT to transmit a frame. Use a timeout of 2 RTT.a) When frames 5 and 6 are received no ack is sent. An ack is sent for frames 4,5 and 6 oncethe retransmitted frame 4 is received.Somethin
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