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Insert the new element after the current head, and then swap the new value with the current head. Less
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For a singly linked circular list, assuming you have a pointer to the tail of the list (rather than the head) to make insertion at head and tail constant time, here's how to insert at the beginning (head) in constant time: temp = Node(val2BeInserted) temp.setNext(self.tail.getNext()) self.tail = temp (given the classes Node and SinglyLinkedCircularList) with (value,next=None) and (tail) attributes, respectively. Less
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For a singly linked circular list, assuming you have a pointer to the tail of the list (rather than the head) to make insertion at head and tail constant time, here's how to insert at the beginning (head) in constant time: temp = Node(val2BeInserted) temp.setNext(self.tail.getNext()) self.tail = temp (given the classes Node and SinglyLinkedCircularList) with (value,next=None) and (tail) attributes, respectively. Less
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Make two arrays: accumulated sum and maximum sum. Start from index 0 and move to end. maximum sum would be max of accumulated sum till current position. Refresh accumulated sum once its smaller than the current number. Less
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The (formal) solution lies in the distribution of order statistics for a sample of 2 from the standard uniform. It is not too hard to show that the solution is 1-P(Max 1/2)-P(Range>1/2), and with a combinatorics/conditional probability argument, it is equivalent to 1-3*P(Max <1/2). P(Max< 1/2) = 1/4, so the probability of that the pieces can form a triangle is 1/4. Less
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I wasn't prepared
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The locations of the 4 picked points on the circle don't matter, you will always have three possibilities to divide them into two pairs, of which one yields intersecting lines. Therefore, no matter if you distribute 20 or 10000 points on the circle, the probability of intersecting lines of two pairs will always be 1/3 Less
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What is the step size?