Einstein's mass-energy equation realized nuclear physics and pointed out the direction for mankind to find new energy. Mathematics is inseparable from these great discoveries. Mathematics is the foundation of natural science. Conceptually, mathematics is a subject that studies concepts such as quantity, structure, change and spatial model. The importance of mathematics to natural science. Mathematics is widely used. Hua, a famous mathematician, said: Has mathematics appeared? Quantity? Science is essential. Mathematics is essential for studying quantitative relations, quantitative change, quantitative change and quantitative change. Therefore, the application of mathematics runs through the depths of all scientific departments and becomes their right-hand man and tool. ?
Mathematics includes basic mathematics and applied mathematics. Basic mathematics studies the basic theory and development law of mathematical topics, such as the famous Goldbach conjecture, which is the research object of basic mathematics; Applied mathematics is a mathematical theory, which is triggered by a large number of practical problems and solves real life or other problems. Problems in science and technology. Information and computational science includes computational mathematics and information processing mathematics. This paper mainly studies how to use mathematical ideas and methods to solve practical problems in the field of information technology. In addition, statistics is also a branch of applied mathematics.
In modern life, mathematics is everywhere. From fingerprint identification to CT technology, from data processing to information security, from atmospheric science to rocket aircraft design, from geological exploration to architecture, mathematics plays an important role behind various technological revolutions. It plays an indispensable role. Mathematics is the crown of natural science and the main tool of other scientific research. Including using less computing and storage resources to achieve higher performance, requiring intense calculation, and using mathematical algorithms and software optimization to reduce resource consumption and other industry problems.