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From: InfoQ (No.: Infoqchina) Links: http://www.infoq.com/cn/news/2012/08/32-most-important-algorithms Dr. Christoph Koutschan, of the Austrian Institute for Symbolic Computing (research Institute for symbolic computation, or RISC), published an article on his own page, mentioning that he did a survey, Most of the participants were computer scientists, and he asked the scientists to vote for the most important algorithms, the results of which were sorted alphabetically by English name.1

One: introduction of A *A * algorithm is a heuristic search algorithm that evaluates the location of each search in the state space, obtains the best position, and then searches from this location to the target. This can omit a large number of intrepid search paths and mention efficiency. In heuristic search, it is very important to estimate the location. Different valuations can be used to have different effects. The algorithm can be expressed in equ

Kalman filter is an algorithm which uses the state equation of linear system to estimate the state of the system by the input and output data. The optimal estimation can also be regarded as the filtering process because of the influence of the noise and interference of the system.The core content of the Kalman filter is 5 formulas, which is simple and fast, and is suitable for forecasting and estimating small amount of data.Here we use an example to i

probability counter is an efficient use of space and allows the implementation to specify the desired level of precision. The algorithm is useful when focusing on space efficiency, but you need to be able to control the error of the result. The algorithm runs in two steps: The first step is to allocate a bit-map in memory that is initialized to all 0, and then use the hash function to hash each entry in the input data, and the result of the hash function operation is to map each record (or elem

is a diagonal array, or an estimate of the inverse Hessian matrix of the cost function. The second-order guide. Examples include the Newton and Quasi-Newton methods. The choice of learning rate is actually very important, as will be mentioned later in this article.Iv. Some practice tricksThe real dry goods are finally coming up. As mentioned above, BP is a ladder-degree method, so BP is very slow. Especially in multi-layer networks, the cost function

directory objects are objects created using the Create DIRECTORY statement, not the OS directoryEXPDP newhappy/pdmcn.com Directory=dump Dumpfile=a.dumpCreate a directory:CREATE DIRECTORY dump as ' d:dump ';The query created those subdirectories:SELECT * from Dba_directories;4. DumpFileUse to specify the name of the dump file, the default name is Expdat.dmpDumpfile=[directory_object:]file_name [,...]Directory_object is used to specify the directory object name, file_name to specify the dump file

# ##################### ################################################## #!/bin/ksh Df-k | grep arch > Dfk.result archive_filesystem= ' awk-f "" ' {print $6} ' dfk.result ' archive_capacity= ' awk-f ' "' {print $ } ' Dfk.result ' If [$archive _capacity > 90%] then echo ' Filesystem ${archive_filesystem} is ${archive_capacity} filled "# Try one of The following option depend on your need find $archive _filesystem-type f-mtime +2-exec rm-r {}; Tar Rman fi 5. Analyze tables and indexes (for bett

be very small. With increasing, unstable (positive and negative shuttle), the variable that the vibration tends to zero can be eliminated Remove X3 and do Ridge return:Combined graph and β value list, found X4 coefficient is small, can delete X4 variableLinear regression after removing X3 and X4:Summary (LM (y~.-x3-x4,data=cement))The detection of the coefficient of intercept and the variable is three stars.The final model is: y^ = 52.577 + 1.4683x1 + 0.6622x2.5. Use Linearridge to do

is 10, and the diagonal movement cost is 14. This data is used because the actual diagonal moving distance is the square root of 2, or is approximately 1.414 times times the cost of horizontal or vertical movement. Using 10 and 14 is just for simplicity. The proportions are right, and we avoid the calculation of open and fractional numbers. It's not that we don't have the ability or we don't like maths. Using these numbers can also make your computer faster. Later, you will find that if you do

one:Alter table infobase2 rename to infobase;4. Create an index:Create index classid_ind on infobase (classid ); After a day, the problem occurs again, and the index cannot be used again. Then, execute the following statement to solve the problem:Analyze table infobase compute Statistics;OrAnalyze table infobase estimate statistics sample 50 PERCENT;-- Note: if the value of 50 PERCENT is too small, the index may still not work. When I started to use