1. In 2009, bencong invented bitcoin, and set that there are only 21 million bitcoins. By participating in the proction of blocks and providing proof of work (POW), he can get the reward of bitcoin network. This process is mining
the concept of "mining" comes from the existing concepts in our real economic life, such as gold mining and silver mining. Because minerals are valuable, it drives people to pay labor to dig
another important point of bitcoin mining is that the miners who participate in mining recognize the value of bitcoin, and some of them are willing to spend money in the bitcoin market. Therefore, the mining of bitcoin is meaningful
extended data
currency characteristics of bitcoin
1, decentralized
bitcoin is the first distributed virtual currency, and the whole network is composed of users without central bank. Decentralization is the guarantee of bitcoin's security and freedom
2, bitcoin can be managed on any computer connected to the Internet. No matter where you are, anyone can dig, buy, sell or collect bitcoin
3, exclusive ownership
controlling bitcoin requires a private key, which can be stored in any storage medium in isolation. No one can get it except the user himself
4, low transaction cost
bitcoin can be remitted free of charge, but in the end, about 1 bitfen transaction fee will be charged for each transaction to ensure faster transaction execution
5, no hidden cost
as a means of payment from a to B, bitcoin has no cumbersome limit of quota and proceres. If you know the other party's bitcoin address, you can pay
6, cross platform mining
users can explore the computing power of different hardware on many platforms
2. The first part: build your own
blockchain directory from 0 to 1:
1.1 start with imitation, First knowledge of blockchain
1.2 basis of blockchain: analysis of consensus mechanism
1.3 design principle and method of consensus mechanism
1.4 how to quickly clone a blockchain
1.5 how to turn bitcoin into its own private chain - bifurcated bitcoin
1.6 how to turn Ethereum into its own private chain - bifurcated Ethereum
1.7 how to turn ripple into its own private chain - bifurcated Ripple
1.8 how to turn stellar into a private chain of its own, How to develop your own blockchain wallet (windows and MAC) 1.11 how to develop your own blockchain wallet (Android and IOS) 1.12 how to develop an online wallet similar to blockchain.info 1.13 how to increase the security and robustness of your own blockchain network 1.14 how to use coin to handle recharge withdrawal business
1.15 How to use the fund pool to build a mixed currency service
1.16 how to design a new mining algorithm
this process is generally used, but it is also very difficult for ordinary people to complete. The mature projects of blockchain include Ethereum, decent, bitcoin and so on.
3. I don't know what the recent mining system is? But I can teach you how to distinguish the application of blockchain technology
blockchain technology has several characteristics, such as decentralization, distributed storage, traceability and non tampering
the building owner can judge from the above characteristics. Decentralization means that everyone can view the data of the application of blockchain technology, but it can not be tampered with, and it will not lose data e to a single node, so we can see the source of each application. Some fans of Nanning blockchain development also have some understanding of these applications< br />
4. We recommend Shengshi Huacai company. This company is very good, with good service and technology. There are many successful cases in the mining blockchain system, which will answer your questions in detail.
5. Can see clouded leopard network company, the team is experienced
6. Regulatory variables can be qualitative or quantitative. In the analysis of regulatory effect, the independent variable and regulatory variable should be transformed centrally. Brief model: y = ax + BM + CXM + E. The relationship between Y and X is characterized by regression coefficient a + cm, which is a linear function of M, and C measures the size of the moderating effect. If C is significant, it means that the regulatory effect of M is significant. 2. Analysis method of regulatory effect analysis method of significant variable: divided into four cases. When the independent variable is a category variable and the moderating variable is also a category variable, the analysis of variance of two factor interaction effect is used, and the interaction effect is the moderating effect; When the regulatory variable is a continuous variable, the independent variable uses the pseudo variable, centralizes the independent variable and the regulatory variable, and does the hierarchical regression analysis of y = ax + BM + CXM + e: 1. Do the regression of y to X and m, and get the determination coefficient R1 2. 2. The regression of y to x, m and XM yielded R2 2. If R2 2 was significantly higher than R1 2, the regulatory effect was significant. Or, XM regression coefficient test, if significant, the regulatory effect is significant; When the independent variable is a continuous variable, the regulating variable is a category variable, grouping regression: grouping according to the value of M, doing y to x regression. If the difference of regression coefficient is significant, the regulation effect is significant. When the regulation variable is a continuous variable, the hierarchical regression analysis of y = ax + BM + CXM + e is done as above. There are two ways to analyze the moderating effect of latent variables: one is that the moderating variable is the category variable and the independent variable is the latent variable; The second is that both regulatory variables and independent variables are latent variables. When the moderator is a class variable, group structural equation analysis is performed. The method is to limit the regression coefficients of the two groups of structural equations to be equal, and get one χ 2 and the corresponding degrees of freedom. Then remove this restriction, re estimate the model, and get another one χ 2 and the corresponding degrees of freedom. ahead χ 2 minus the following χ 2 get a new one χ 2, the degree of freedom is the difference between the two models. If χ If the test result is statistically significant, the moderating effect is significant; When regulatory variables and independent variables are latent variables, there are many different analysis methods. The most convenient one is the unconstrained model proposed by marsh, Wen and Hau. 3. The definition of intermediary variable is the influence of independent variable x on dependent variable y. if x influences y by influencing variable m, then M is called intermediary variable. Y=cX+e1, M=aX+ e2 , Y= c′X+bM+e3 Where C is the total effect of X on y, AB is the mediating effect through M, and C 'is the direct effect. When there is only one mediating variable, there is C = C ′ + AB between the effects, and the mediating effect is measured by C-C ′ = ab. 4. Mediating effect analysis method mediating effect is indirect effect, regardless of whether the variables involve latent variables, structural equation model can be used to analyze mediating effect. The first step is to test system C. if C is not significant and the correlation between Y and X is not significant, stop the mediating effect analysis, and if it is significant, proceed to the second step; The second step is to test a and B once. If they are all significant, then test C ′, C ′, and the mediating effect is significant. If C ′ is not significant, then the complete mediating effect is significant; If at least one of a and B is not significant, do Sobel test, significant mediating effect is significant, not significant mediating effect is not significant. The statistic of Sobel test is Z = ^ A ^ B / SAB, in which ^ A and ^ B are estimates of a and B respectively, SAB = ^ a2sb2 + b2sa2, SA and Sb are standard errors of ^ A and ^ B respectively. 5. Comparison between moderator and mediator moderator m moderator m research purpose when does x affect y or when does x have a greater impact? How does x affect the moderating effect, interaction effect, mediating effect of y-related concepts When the influence of X on y is considered, the influence of strong x on y is strong and stable. The typical model is y = am + BM + CXM + e, M = ax + E2, y = C ′ x + BM + E3. The position of m in the model is x, M is in front of Y, M can be in front of X, the function of m after X and before y affects the direction (positive or negative) and strength of the relationship between Y and X. x influences the relationship between Y, m and X, X and X through it The correlation between M and X, y can be significant or not (the latter is ideal) the correlation between M and X, y is significant effect regression coefficient C regression coefficient proct AB effect estimate ^ C ^ A ^ B effect test whether C is equal to zero, AB is equal to zero test strategy do hierarchical regression analysis, test the significance of partial regression coefficient C (t test); 6. SPSS operation method of mediating effect and moderating effect. First, descriptive statistics, including M SD and internal consistency reliability (a) are used. Second, all variables are correlated, including statistical variables and hypothetical x, y, y, Third, regression analysis To choose linear regression in regression, we should first centralize the independent variable and m, that is, subtract their respective mean. 1. Now, we input m (regulatory variable or intermediary variable), y dependent variable, and demographic variable related to any of the independent variable, dependent variable, and M regulatory variable into independent. 2. Then press next to input x independent variable (intermediary variable so far). 3 In order to do the adjustment variable analysis, it is necessary to input the opportunity of X and m in the next for further regression. The test mainly depends on whether f is significant
7. And the computer version of the same, y = 12 mining, dig fishbone shape, it is best not to dig vertically
8. Blizzard mining machine, more formal, high mining efficiency, high configuration, and low risk
