One: (most important)
Abstract: According to the content of the paper, what model is established. In the paper, we should mention every question (generally a question is a paragraph, pay attention to the logical sense of coherent sentences), write clearly the mathematical methods used in the model, and write out the innovations and highlights. Finally, the answer to the model should be given (if the answer is short), that is, the abstract of the paper can basically give a basic evaluation of the paper. (the first page, close to a whole page; Focus on it; 10)
Content:
(1) Use 1 and two sentences to explain the problem to be solved in the original problem;
(2) What model has been established (what type it belongs to mathematically), the thinking of modeling and the characteristics of the model;
(3) Algorithm idea (solution idea) and its characteristics;
(4) Main results (numerical results and conclusions); (Answer all the "questions" of the topic)
(5) model advantage and result test; Model test, sensitivity analysis, improvement and popularization;
ask
(1) Features and innovation must be emphasized here;
(2) Length
(three) to ensure accuracy, conciseness, orderliness, clarity, outstanding features and innovation;
Please note the following points:
A. Mathematical classification of the model (what type does it belong to mathematically)
B. Modeling ideas (creativity)
C. Algorithm idea (solution idea)
D. Modeling characteristics (model advantages, modeling ideas or methods, algorithm characteristics, result test, sensitivity analysis, model test ...)
E main results (numerical results, conclusions) (answer all the "questions" raised by the topic)
▲ Description: accurate, concise, clear, grammatical, neat and beautiful font; Printing is the best, but it must conform to the article format. Be sure to proofread carefully.
Two:
Keywords (the first page, it is best to write 3 ~ 5 keywords; Skip; 0 points).
Three:
Ask or restate the question: express the given question more clearly according to your own understanding, and it is best not to copy and paste (you won't read it; 0 points).
Four:
Problem analysis: according to the nature of the problem, what kind of model are you going to build; For example, "This is an optimization problem that can be solved by a planning model" (see; 0 points or extra points).
Five:
Model assumptions: some assumptions need to be explained; Including basic assumptions (+specific assumptions for each question); What is not given in the title, but really needed, is placed in a conspicuous position; Give it in the title and write out what you really need; (number of assumptions > =5, < =10; Will look; 3-5 points).
Six:
Symbol description: clear, neat and beautiful; (looking for; Will look for it; 0 points)
Seven:
Data analysis: write clearly, do some analysis casually and draw some pictures; (3-4 analyses; Have integral, give points appropriately)
Eight:
Model establishment and solution: try to model and present generalization; (8- 10 points for model establishment, 8- 10 points for solution, and 2-3 points for result analysis).
Try to list the thinking process with graphic icons.
Abstract demand
The main categories of (1) models are: elementary model, differential equation model, difference equation model, probability model, statistical prediction model, optimization model, decision model, graph theory model, etc.
(2) Several common modeling purposes: (Correspondence method (1))
In order to describe or explain various phenomena in the real world, mechanism analysis is often used to explore the inherent regularity of the research object;
Predict whether the time of interest will love you, or the trend of exhibitions, often using mathematical statistics or simulation methods;
To optimize management, decision-making or control things, it is necessary to reasonably define quantifiable evaluation indicators and evaluation methods;
(3) Several common points in the process of modeling:
The overall design of the model, reasonable assumptions, the establishment of mathematical structure and mathematical expression;
(4) Requirements of the model:
Clear, reasonable, concise and general;
For example, some papers do not give a clear model, but only give the results by summing up the special circumstances given by the competition questions. Although the result is generally correct, it lacks universality and is not the correct modeling method; ((corresponding to the third point))
(5) Encourage innovation, especially appreciate uniqueness and novelty, but be reasonable.
(6) Avoid listing a series of models without evaluation;
Specific requirements:
(1) Basic model: First, there must be a mathematical model: mathematical formula, scheme, etc. The basic model requires completeness, correctness and conciseness.
(2) Simplifying the model: clarifying the thinking and basis of explanation and simplification; Give a simplified model as much as possible;
Model solution content
(1) algorithm design or selection, the ideological basis and steps of the algorithm;
(2) Quoting or establishing necessary mathematical propositions and theorems;
(3) If you can't give an exact solution, you should give an unknown solution (algorithm), make a test comparison and give an evaluation. In order to show that your algorithm is good, you need to have a reference object to compare with it. You can start with the simplest and easiest algorithm and gradually improve it to know the satisfactory solution.
(4) The specific performance is as follows: For discrete problems, the simplest solution may be just random selection, and then compare with the solution obtained by your algorithm;
Nine:
Analysis and test of model results, including error analysis, stability analysis, etc.
Ten:
Evaluation and promotion of the model: advantages and disadvantages of the model and the direction of improvement (evaluation is about how good the model you built is, and promotion is about how to write the model without calculation).
Eleven:
refer to
Twelve:
appendix
Matters needing special attention in this paper:
1, the subtitle is very important;
As long as you read each subtitle, you can know the outline of the whole paper;
Set more titles to avoid long paragraphs, without titles, (1, 1. 1), and set at least two levels of titles in the text, so that each section has a clear goal. Do not exceed two paragraphs in each column.
2. Be good at using charts
3. Highlight three elements: model, algorithm and result.
4. Paper review: the correctness, rationality and innovation of the model;
The correctness and rationality of the results;
The text is clear, the analysis is incisive and the summary is wonderful.