The connotation of computer algorithm

下面为大家整理一篇优秀的assignment代写范文- The connotation of computer algorithm，供大家参考学习，这篇论文讨论了计算机算法的内涵。20世纪70年代计算机的出现，使得算法依据计算机这一工具在生产生活中发挥了巨大的作用。算法是计算机软件技术的灵魂，它往往采用自然语言、流程图或伪代码方式表示，以保持移植性，而不受限于具体语言。因此算法既需要编程语言的有效展现，又高于编程语言。算法是根本，编程语言和能力是重要手段。

From a macro point of view, all methods to solve or deal with a certain problem and event are algorithms. "Politics is an algorithm, science is an algorithm, shopping is an algorithm, work is an algorithm, love is an algorithm, marriage is an algorithm, education is an algorithm... For humanists and sociologists, it all comes down to algorithms. An algorithm is a set of finite rules, a sequence of operations for a particular problem. It has five characteristics: finiteness, definiteness, feasibility, input and output. This article mainly discusses the computer algorithm, is refers to through the mathematics thought and the method, provides the solution question the train of thought, USES the programming method to complete the question solution or the processing.

Algorithms are the soul of computer software technology. Algorithms are often expressed in natural language, flowchart or pseudo-code to maintain portability, not limited to specific languages. So the algorithm needs not only the effective representation of programming language, but also higher than programming language. Algorithms are fundamental, and programming languages and capabilities are important. Different problems are suitable for different algorithms, and the same problem can be solved by different algorithms, but there are advantages and disadvantages. The key lies in the selection of algorithm, the premise is to master enough algorithm knowledge and skills, and can be skilled in using. A good command of one or two programming languages is essential and is the basis for displaying algorithms.

Learning algorithm, can be contacted from the design principle of algorithm designers deep and clever ideas. For example, binary search algorithm, for an ordered list containing N elements, it only needs log2N times at most, that is, log time to find the item, the principle is very simple, take the middle term to judge, can exclude half of each time, but the utility is not small. Compared with simple search, when the value of N is larger, the gap is more obvious. When N is 10000, the maximum time of binary search is 14 to find the target item. It is proved that two positive integers a> b. if a=bq+r (0<=r

The finitude of the algorithm means that the computation time and storage space are always limited, so the algorithm must consider the efficiency. The difference in efficiency is actually often measured by the time complexity of the implementation. The time complexity is generally expressed by the large O notation, which represents the order of magnitude relationship between the traversal sequence time and the input number n. Take the search algorithm as an example, generally simple search for O (n), binary search requires O (log2n), in n value is small, often do not see how big the efficiency gap, but with n large scale problems, the difference is significant, binary search is much faster. Here, the speed of the algorithm does not refer to the length of running time, but refers to the growth rate of its program running operands as the number of input n increases, namely the growth rate of running time. Algorithm efficiency is an important measure to decide which algorithm to use or how to design when solving a problem.

Algorithm is inseparable from mathematics, from the history of algorithms is the development of mathematics. In 1936, British mathematician Turing invented the Turing machine, which gave the framework of the general computer, introduced the concepts of reading, writing, algorithm and programming language, and laid the theoretical foundation for the birth of modern computer.

Algorithm program implementation also needs to choose the appropriate data structures, such as two kinds of common data structures, arrays and linked list, the array has the advantage of fast random access, but only order insert, whereas the list on the insert is advantage, can be randomly inserted, but only in order to read, so you must be familiar with all kinds of data structure characteristic, according to the need of practical algorithm, can be reasonable choice. Therefore, a good mathematical foundation is conducive to the learning, understanding and application of algorithm principles.

No general algorithm is perfect, and specific problems need specific analysis to find the most appropriate algorithm. So the algorithm subdivides into many fields, the algorithm is not isolated, often interdisciplinary. It's not just math and computers, it's all about biology, electronics, communications, cryptography, artificial intelligence, and so on. At the same time, many applications actually do not only use one algorithm, but include many algorithms, such as common baidu or Google search engine, including crawler, index, sorting and other algorithms, the difference is only in the algorithm design ideas, objects, rules and so on.

From binary search to interpolation search, the search point selection is improved from median to adaptive selection, which effectively improves the search efficiency. From bubble sorting, each time the sorting will be adjacent to the two elements exchange, according to the order from large to small or from small to large, so n-1 sorting can get the whole array order; To quicksort, select the axis value. After sorting once, divide the data into two halves. The left side is smaller than the axis value, and the right side is larger than the axis value. The algorithm efficiency is optimized and improved according to the existing problems and required results.

Algorithm is widely used in the encryption technology, along with the progress of The Times development technology, the ability of the computer operation, some thought the security of encryption algorithms become can be cracked, so the encryption algorithm has also been constantly in evolution, such as the development of the symmetric encryption algorithm, from DES 56 key to 3 DES 112 or 168 - bit key again to the highest of AES 256 - bit key, is constantly improve security.

People will use the optimal or shortest path algorithm when traveling or traveling for business. Different choices will create different travel paths. Whether it is based on time or cost, comfort or more scenic spots, it will affect the choice of the optimal path. People commonly used online food delivery, is the network of companies using their strong algorithm ability, connect merchants and buyers and complete the food delivery, providing a one-stop service. Through browsing, you will find recommendation pages or links often seen on computers or mobile phones. This is the recommendation system algorithm of the website. Based on people's browsing habits, consumers' preferences and needs are predicted, and corresponding advertising promotion and product recommendation are carried out. Algorithms are used almost everywhere, but they may not be noticed or realized.

China is at a critical moment of modernization. Industrial manufacturing is facing the transformation of intelligent manufacturing. The large-scale promotion and application of factory automation and industrial robots all require algorithms to improve production efficiency. As the core of the industrial brain, the algorithm and software level are related to the survival, development and competitiveness of enterprises, so how to improve the industrial algorithm and software level is the key point of continuous efforts in the future. The development of aerospace industry is also inseparable from large-scale computing power and advanced algorithms, which is the need for the development of the country's comprehensive national strength. Alphago is the first ai program to defeat a human professional go player and the first ai program to defeat a world champion go player. It is based on heuristic search algorithm and big data, which greatly exceeds the learning limit of human beings and shows its amazing strength. Faced with the arrival of the era of big data, it is particularly important and urgent to design efficient algorithms to obtain the needed information for the mass data.

Learning algorithm can train one's ability to think and solve problems, and cultivate the habit of logical thinking, careful reasoning and rigorous thinking, which is conducive to personal growth. Algorithms are widely used, need a wide range of knowledge, and a certain depth of understanding, so it will encourage individuals to continue to learn, broaden their horizons.

Although the author knows that as far as the algorithm knowledge is concerned, it is only the tip of the iceberg, only a glimpse of it, but it is this limited space between has shown infinite charm, attracting the author to uncover its mysterious veil. Greedy algorithm seeking global optimal solution through local optimal solution, dynamic programming algorithm decomposing a problem into multiple sub-problems... The ideas behind these algorithms are powerful.

The development of algorithms is changing with each passing day. In view of the new application scenarios, new requirements keep emerging and corresponding appropriate algorithms are needed to cope with, which will encourage people to continue to learn and explore.

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