Rest your fingers gently on the home row or home keys.
Rest your palms on the keyboard.
Relax your fingers.
All the above are proper keyboard techniques apart from slouch in your chair. It is always recommended to sit up straight with your feet positioned on the floor for balance. Do not cross. Center your body to the H key and have your elbows at sides and bent about 90 degrees. Use correct fingering and deploy touch typing. These and many others will help develop optimal speed and accuracy and help prevent the development of stress injury.
Answer:
A. Right to avoid criticism
Explanation:
Patent can be defined as the exclusive or sole right granted to an inventor by a sovereign authority such as a government, which enables him or her to manufacture, use, or sell an invention for a specific period of time.
Generally, patents are used on innovation for products that are manufactured through the application of various technologies.
Basically, the three (3) main ways to protect an intellectual property is to employ the use of
I. Trademarks.
II. Patents.
III. Copyright.
Copyright law can be defined as a set of formal rules granted by a government to protect an intellectual property by giving the owner an exclusive right to use while preventing any unauthorized access, use or duplication by others.
Hence, the right that is not guaranteed by copyright laws is the right to avoid criticism because as an author or writer your literary work is subject to criticism from the readers and by extension the general public.
30 is the supplement of 150
Answer:
Greedy is an algorithmic paradigm that builds up a solution piece by piece, always choosing the next piece that offers the most obvious and immediate benefit. Greedy algorithms are used for optimization problems. An optimization problem can be solved using Greedy if the problem has the following property: At every step, we can make a choice that looks best at the moment, and we get the optimal solution of the complete problem.
If a Greedy Algorithm can solve a problem, then it generally becomes the best method to solve that problem as the Greedy algorithms are in general more efficient than other techniques like Dynamic Programming. But Greedy algorithms cannot always be applied. For example, the Fractional Knapsack problem (See this) can be solved using Greedy, but 0-1 Knapsack cannot be solved using Greedy.
The following are some standard algorithms that are Greedy algorithms.
1) Kruskal’s Minimum Spanning Tree (MST): In Kruskal’s algorithm, we create an MST by picking edges one by one. The Greedy Choice is to pick the smallest weight edge that doesn’t cause a cycle in the MST constructed so far.
2) Prim’s Minimum Spanning Tree: In Prim’s algorithm also, we create an MST by picking edges one by one. We maintain two sets: a set of the vertices already included in MST and the set of the vertices not yet included. The Greedy Choice is to pick the smallest weight edge that connects the two sets.
3) Dijkstra’s Shortest Path: Dijkstra’s algorithm is very similar to Prim’s algorithm. The shortest-path tree is built up, edge by edge. We maintain two sets: a set of the vertices already included in the tree and the set of the vertices not yet included. The Greedy Choice is to pick the edge that connects the two sets and is on the smallest weight path from source to the set that contains not yet included vertices.
4) Huffman Coding: Huffman Coding is a loss-less compression technique. It assigns variable-length bit codes to different characters. The Greedy Choice is to assign the least bit length code to the most frequent character. The greedy algorithms are sometimes also used to get an approximation for Hard optimization problems. For example, the Traveling Salesman Problem is an NP-Hard problem. A Greedy choice for this problem is to pick the nearest unvisited city from the current city at every step. These solutions don’t always produce the best optimal solution but can be used to get an approximately optimal solution.
