At present, the main application of computers is numerical values

1. Scientific and engineering computing.

Scientific computing is numerical computing, which refers to the calculation of complex mathematical problems in scientific research and engineering technology. For example, in the study of mathematics, astronomy, physics, economics and many other disciplines, a variety of scientific computing problems are often encountered in a large number of engineering and technical fields such as hydraulic engineering, bridge design, aircraft manufacturing, missile launching, and astronautics.

2. Data processing.

Collect, process, process, and store a large amount of information to make it better serve the society. For example, various information systems, financial information systems. It is widely used in business management and information retrieval.

3. Office automation.

OfficeAutomation, or OA for short. Mainly, word processing, ** processing, PPT production, etc.

The main application areas of computers are: scientific computing, data processing, process control or real-time control, artificial intelligence, network applications.

1. Scientific computing: refers to the use of computers to complete the calculation of mathematical problems proposed in scientific research and engineering technology.

<>3. Process control or real-time control: use the computer to collect and detect data in a timely manner, and quickly adjust or control the control object according to the optimal value.

4. Artificial intelligence: Computers simulate human intelligent activities, such as perception, judgment, understanding, learning, problem solving, and image recognition. At present, a lot of achievements have been made in the research of artificial intelligence, and some closed balances have begun to move towards the practical stage.

5. Network application: The combination of computer technology and modern communication technology constitutes a computer network. The establishment of a computer network not only solves the problem of communication between computers in a unit, a region, or a country, but also the sharing of various software and hardware resources.

1. Scientific computing.

Also known as numerical computing. A large number of complex scientific problems are often encountered in modern science and engineering technology, so the calculation of scientific research and engineering technology is a basic aspect of computer application, and it is also the earliest field of computer application.

2. Data processing.

Also known as information processing. According to statistics, more than 80% of the world's computers are mainly used for data processing.

Data processing is to record, sort, retrieve, classify, count, synthesize and transmit numerical values, texts, charts and other information data in a timely manner to obtain the relevant information required by people. It is currently the most widely used field of use for computers.

3. Process control.

Also known as real-time control. Process control refers to the use of computer for production process, real-time process control, it requires fast response speed and high reliability, in order to improve output and quality, save raw material consumption, reduce costs, and achieve the optimal control of the process.

4. Computer-aided system.

Computer-aided system refers to the use of computers to help engineering and technical personnel carry out design work, so that the design work is semi-automated or even fully automated, which not only greatly shortens the design cycle, reduces production costs, saves manpower and material resources, but also ensures product quality.

Computer-aided systems have been widely used in the design of large-scale integrated circuits, computers, construction, ships, aircraft, machine tools, machinery and even clothing. Such as computer-aided design (CAD), computer-aided manufacturing (CAM), computer-aided testing (CAT), computer-aided teaching (CAI), etc.

5. Artificial intelligence.

Artificial intelligence (AI) enables computers to simulate certain intelligent behaviors such as human perception, reasoning, learning and understanding, to achieve natural language understanding and generation, machine proof of theorems, automatic program design, automatic translation, image recognition, voice recognition, disease diagnosis, and can be used in various expert systems and robot construction.