[Sword refers to Offer learning] [summary of all interview questions], and sword refers to offer question Summary

[Sword refers to Offer learning] [summary of all interview questions], and sword refers to offer question Summary
Offoffer Learning

I have learned a lot from this book, and now I am working on a general directory for my reference. If I want to learn it, I will leave without going in. Only by constantly learning can we keep up with the technology trend!

Directory Question 01-10 [Sword refers to Offer learning] [interview question 02: Singleton mode-seven implementation methods] [Sword refers to Offer learning] [interview question 03: Search in two-dimensional array] [Sword refers to Offer learning] [interview question 04: replacing spaces] [Sword refers to Offer learning] [interview question 05: print the linked list from the end to the end] [Sword refers to Offer learning] [interview question 06: rebuilding a binary tree] [Sword refers to Offer learning] [interview question 07: Using Two stacks to implement queues] [Sword refers to Offer learning] [interview question 08: The smallest number to rotate the array] [Sword refers to Offer learning] [interview question 09: Fibonacci series] [Sword refers to Offer learning] [interview question 10: Number of 1 in binary] Question 11-20 [Sword refers to Offer learning] [interview question 11: The integer power of the value] [Sword refers to Offer learning] [interview question 12: Print 1 to the maximum n digits] [Sword refers to Offer learning] [interview question 13: Delete the linked list node at O (1) time] [Offoffoffoffer learning] [interview question 14: Adjust the array order so that the odd number is in front of the even number] [Sword refers to Offer learning] [interview question 15: The last k node in the linked list] [Sword refers to Offer learning] [interview question 16: reverse linked list] [Sword refers to Offer learning] [interview question 17: combining two sorted linked lists] [Sword refers to Offer learning] [interview question 18: Tree sub-structure] [Sword refers to Offer learning] [interview 19: Binary Tree image] [Sword refers to Offer learning] [interview question 20: clockwise print matrix] Question 21-30 [Sword refers to Offer learning] [interview question 21: Money containing the min function] [Sword refers to Offer learning] [interview question 22: sequence of stack pushing and pop-up] [Sword refers to Offer learning] [interview question 23: print a binary tree from top to bottom] [Sword refers to Offer learning] [interview question 24: Post-order traversal sequence of the Binary Search Tree] [Sword refers to Offer learning] [interview question 25: the path between a binary tree and a certain value] [Sword refers to Offer learning] [interview question 26: copying complex linked lists] [Sword refers to Offer learning] [interview question 27: Binary Search Tree and two-way linked list] [Sword refers to Offer learning] [interview question 28: String arrangement] [Sword refers to Offer learning] [interview question 29: more than half of the numbers appear in the array] [Sword refers to Offer learning] [interview question 30: minimum k count] Question 31-40 [Sword refers to Offer learning] [interview question 31: The maximum sum of consecutive sub-arrays] [Sword refers to Offer learning] [interview question 32: calculate the number of times 1 appears in an integer from 1 to n] [Sword refers to Offer learning] [interview question 33: The minimum number of arrays] [Sword refers to Offer learning] [interview question 34: ugly number] [Sword refers to Offer learning] [interview question 35: the first character that appears only once] [Sword refers to Offer learning] [interview question 36: Reverse Order pairs in the array] [Sword refers to Offer learning] [interview question 37: the first public node of two linked lists] [Sword refers to Offer learning] [interview question 38: The number of times the number appears in the sorting array] [Sword refers to Offer learning] [interview question 39: depth of Binary Tree] [Sword refers to Offer learning] [interview question 40: number that appears only once in the array] Question 41-50 [Sword refers to Offer learning] [interview question 41: two numbers for s vs and a continuous positive number sequence for s] [Sword refers to Offer learning] [interview question 42: Flip word order vs left rotation string] [Sword refers to Offer learning] [interview question 43: Number of n forging points] [Sword refers to Offer learning] [interview question 44: playing card shunzi] [Sword refers to Offer learning] [interview question 45: the last number left in the circle (Joseph's ring problem )] [Sword refers to Offer learning] [interview question 47: addition without subtraction, multiplication, division] [Sword refers to Offer learning] [interview question 49: converts a string to an integer] [Sword refers to Offer learning] [interview question 50: the lowest common ancestor of the two nodes in the tree] Question 51-60 [Sword refers to Offer learning] [interview question 51: Repeated numbers in the array] [Sword refers to Offer learning] [interview question 52: Building a product array] [Sword refers to Offer learning] [interview question 53: Regular Expression matching] [Sword refers to Offer learning] [interview question 54: a string that represents a value] [Sword refers to Offer learning] [interview question 55: the first non-repeating character in the NLP stream] [Sword refers to Offer learning] [interview question 56: entry point in the central link of the linked list] [Sword refers to Offer learning] [interview question 57: deleting duplicate nodes in the linked list] [Sword refers to Offer learning] [interview question 58: Next node of a binary tree] [Sword refers to Offer learning] [interview question 59: symmetric Binary Tree] [Sword refers to Offer learning] [interview question 60: print the binary tree out multiple rows] Question 61-67 [Sword refers to Offer learning] [interview question 61: print a binary tree in the font order] [Sword refers to Offer learning] [interview question 62: serialized Binary Tree] [Sword refers to Offer learning] [interview question 63: k node of the Binary Search Tree] [Sword refers to Offer learning] [interview question 64: Median in the data stream] [Sword refers to Offer learning] [interview question 65: Maximum Sliding Window value] [Sword refers to Offer learning] [interview question 66: path in the matrix] [Sword refers to Offer learning] [interview question 67: robot motion range] Special statement Please refer to the following link for more information: http://blog.csdn.net/derrantcm/article/details/46887821]

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