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class ListNode {
public:
    int val;
    ListNode *next;
    ListNode(int val) {
        this->val = val;
        this->next = nullptr;
    }
};

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1. Initialization

• Declaring an empty vector and then pushing values

// creates an empty vector
std::vector<int> vec;
// push values into vector
vec.push_back(10);
vec.push_back(20);
vec.push_back(30);

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#include <iostream>
#include <vector>
#include <stack>
#include <algorithm>

template<typename T>
void printVector(vector<T> &vec) {
    cout << "[";
    const size_t sz = vec.size();
    for (size_t i = 0; i < sz; ++i) {

chizhang529

1. Classical Binary Search

• Binary search only works on sorted arrays. For unsorted arrays, the fastest way to find an element is linear scan O(n).
• It can be implemented either by iteration or recursion. Since recursion has higher space complexity but no gains in time complexity, we prefer iteration implementation.
• The physical interpretation of left and right is that the element to find must reside in the range [left, right].
• The worst case of time complexity happens when the element to find does not exist in the array.

/* iteration version: T[O(logn)], S[O(1)] */
int binarySearch(vector<int> &arr, int target)

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# init .vim folder
cd ~
mkdir .vim
cd .vim
touch vimrc
git init .

# soft link
ln -s ~/.vim/vimrc ~/.vimrc

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Choose Versions of cuDNN, CUDA and Tensorflow

Installation (CUDA8.0 + cuDNN 6.0 + Tensorflow 1.4.0)

Nvidia 384 Driver

CUDA 8.0 and higher versions require at least nvidia-384 driver:

sudo apt-get purge nvidia*
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update && sudo apt-get install nvidia-384 nvidia-settings

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Check GPU Works with Tensorflow

You may want to verify GPU is working with Tensorflow in runtime. Here are some useful python code snippets:

## show all devices available ##
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())

To make sure GPU works in computation:

import tensorflow as tf

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// I/O
#include <iostream>
#include <fstream>
#include <sstream>
// Containers
#include <vector>
#include <deque>
#include <list>
#include <set>
#include <map>