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Монгол Алтайн нурууны мөстлөгийн түүхэн үеүдын ялгааг гаргаж, эртний мөстлөгийн тархалт тодорхойлсон
In the process of learning algorithms and programming, it is inevitable to work with algorithms designed in a structural and structural form. There are also many algorithms that are difficult to algorithmize, and algorithms of combinatoric can be included in this category. One representative example is the problem of constructing subsets with a certain number of elements from a given set. Therefore, an algorithm for constructing a subset or all possible combination a given number of elements is selected, and then a possible algorithm is created by making appropriate changes. This is a structurally designed algorithm, and the goal is to demonstrate the possibility of using the algorithm to draw structural block diagrams, test, convert and them directly use into flowchart programs.
In scientific fields that use mathematics and computational mathematics, there is a need to express the relationship between two quantities as a function when processing experimental and observational results. The function not only expresses the relationship between the variables, but also plays a significant role in determining the future situation and put forward suggestions. To constructed and study this function, it is important to construct an interpolation polynomial that represents its approximate value. Therefore, the aim is to develop an algorithm for constructing the interpolation polynomial by determining the interpolating polynomial doing dury the mathematical processing of experimental material using modern computing techniques, constructing a redundanted system with a given function and its values o specific points, and with solving it using the least squares principle. If an algorithm is designed, it needs to be programmed using a programming language.
In the branches of science that use mathematics, the work of processing the results of experiments and observations often leads to solving systems with more equations than the number of variables. The solution of a system of linear equations with more equations than the number of variables can be solved using the principle of least squares to approximate the solution. Let us call it a system with redundancy. In order to mathematically process test materials using modern computing techniques, it is important to develop an algorithm based on the least squares principle that meets the requirements for solving a system with redundancy. Consider the possibility of creating a program to create a normal system according to the algorithm.
In statistics, regression analysis includes any techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. More specifically, regression analysis helps one understand how the typical value of the dependent variable changes when any one of the independent variables is varied, while the other independent variables are held fixed.
In the branches of science that use mathematics, the work of processing the results of experiments and observations often leads to solving systems with more equations than the number of variables. The solution of a system of linear equations with more equations than the number of variables can be solved using the principle of leas squares to approximate the solution. Let us call it a system with redundancy. In order to mathematically process test materials using modern computing techniques. It is important to develop an algorithm based on the leas squares principles that meets the requirements for solving a system with redundancy. Consider the possibility of creating a program to create a normal system according to the algorithm.
Хоёр хэмжигдэхүүний хоорондын хамаарал эмпирик томъёогоор өгөгдөхөд уг тэгшитгэлийн параметрүүдийг үнэлэх нь зайлшгүй шаардлагатай бөгөөд Эмпирик томъёоны параметрийг үнэлэх нь бэрхшээлтэй асуудлуудын нэг юм. Параметрүүдийг үнэлснээр судалгааны үр дүнг нарийн, тодорхой гаргах ач холбогдолтой.
Орчин үеийн сургалтанд мэдээллийн технологийн хэрэглээг нэмэгдүүлэх нь чухал бөгөөд түүний тод илрэл нь дэвшилтэт орчин үеийн програм хангамжийг ашиглах явдал юм. Иймд өмнөх жил программчлалын MathCad cистемийг ашиглан интеграл бодох аргуудыг харьцуулан шинжилгээ хийх нь сонирхолтой.
Эрэмбэлэлтийн арга тэр дундаа шууд багтаах аргаар эрэмбэлэх аргыг сонгон авч энэхүү аргыг илүү боловсронгуй болгох арга зам байгаа эсэхийг шийдэхийн тулд 1. Эрэмбэлэлтийн бодлого гэж юу болох тухай 2. Эрэмбэлэлтийн шууд багтаах арга 3. Шууд багтаан эрэмбэлэх аргын боломжит хувилбарыг нээн илрүүлэх талаар судлах шаардлагатай.
