This one test is the flagship model of the next generation of "Bristoal Ridge" processors: a12-9800. Compared to the previous generation of APU, this generation of AMD CPUs supports ddr4-2400 memory, NMVE protocol SSD, providing greater bandwidth and support for USB 3.1. From the extended functionality to catch up with Intel's mainstream processor. Let's take a look at the CPU performance of the a12-9800.
Earlier this month, AMD released the desktop seventh generation Apu, code-named Bristol Ridge, the first to bring AM4 new interface, support DDR44 memory, USB 3.1, and finally can be with the Intel six-generation processor a higher.
AMD Seven generation a12-9800 APU processor
One of the first high-end APU models is a12-9800, Quad core 3.8-4.2ghz,radeon R7 GPU 512 stream processors, thermal de
Intel on the other side of the launch of the seventh Daicouri KABYLAKE,AMD side of the seventh generation Apu Bristol Ridge release, as early as this month, AMD low-key released a new generation of APU, but the domestic as if not released, and the novel Apu can not find any traces , it is estimated that the garage is not finished, and AMD intends to promote only in the OEM, DIY market may not be. Nevertheless, we can find the relevant evaluation of the new APU from the Overseas evaluation websit
AMD a12-9800 Performance Test
Judging from the score of the test. A12-9800 's single-threaded performance increased by 6%, multi-threaded performance increased by 15%, and bandwidth increased by 50%. Basically now the excavator structure is already the limit, want to advance the performance still want to see Zen architecture.
After
Data
Data extraction
Theoretically relational database, data is in the form of relationship. Usually we can see them as a collection. In this way, the data is generally in the form of disorder. The benefits of this approach are not to be discussed, but we have to admit that sometimes this can also bring us some trouble. I've had this thing lately.
I met an old classmate of mine on the internet and he raised such a question. There is a table (assuming it is called mytable), and there are three
VMware Server), in addition to VMnet0, VMNET1, VMnet8 virtual switches, can also create (or add) Vmnet2~vmnet7, VMNET9 and other virtual switches, The properties of these virtual switches can be selected between "host-only Network", "Bridging Network", and "Nat network".3.3 VMnet1, VMNET8, VMnet0 virtual network card relationshipIn VMware Workstation or VMware Server virtual machines, the network relationship between virtual machines and hosts can refer to the network topology shown in Figure 3
that the virtual network card is not connected to any network. The following describes the network properties when connecting to the VMnet1, VMnet8, VMnet0 virtual switches."description" (1) after VMware Workstation 6.0, the new "team" feature was added, and the team Virtual Switch was added to the team. Virtual machines in the team can use virtual switches in the team, in addition to virtual switches such as VMnet0, VMnet1, VMnet8, and so on.(2) VMware Workstation (or VMware Server), in additi
, you can also use virtual switches in the team.
(2) vmware workstation (or VMware Server), in addition to vmnet0, vmnet1, and vmnet8 vswitches, you can also create (or add) vmnet2 ~ Vmnet7, vmnet9, and other vswitches. The attributes of these vswitches can be selected between "host network only", "bridge network", and "nat network.
3.3 relationship between vmnet1, vmnet8, and vmnet0 virtual NICs
In a virtual machine of VMware Workstation or VMware Server, the network relationships between virtu
(1) first, regardless of DX or OpenGL, the vectors and matrices expressed are defined according to the standard in Linear Algebra:"The product of matrix A and B the element C (ij) in column J of row I of matrix C is equal to the sum of the product of the corresponding elements in column J of row I of." (Practical mathematics manual, Science Press, Second Edition)For example, C12 = A11 * B11 + A12 * B21 + A12
=self.all_node[child_name] Child_tree=tree (child_node) L1=child_tree.all_node L2=child_tre E.enable_node parent_node=child_node.parent if Parent_node. Rchild==child_node:parent_node.drop_rchild () Else:parent_node.drop_Lchild () for I in L1.keys (): Self.all_node.pop (L1[i].name) for I in L2:self.enable_node.pop (l1[i].name
If not Self.enable_node.has_key (parent_node.name): Self.enable_node[parent_node.name]=parent_node Self.depth=self.get_depth () If __name__== ' __main__ ': A=node ('
network card is not connected to any network. The following describes the network properties when connecting to the VMnet1, VMnet8, VMnet0 virtual switches.Note(1) After VMware Workstation 6.0, the new "team" feature was added, and the team Virtual Switch was added to the team. Virtual machines in the team can use virtual switches in the team, in addition to virtual switches such as VMnet0, VMnet1, VMnet8, and so on.(2) VMware Workstation (or VMware Server), in addition to VMnet0, VMNET1, VMnet
Title Link: POJ 1195 Mobile Phones"The main topic", the start operation is 0 initialized s * S size map with a value of 0Action 1, enter X Y A, change the value of coordinates (x, y) in the map to aOperation 2, input L B R T query interval (x, y) lAction 3 Closing the programA typical two-dimensional tree-like arrayTwo-dimensional tree arrays and one-dimensional tree arrays are the same principle.We first look at the one-dimensional tree array C "MAXN",Its storage structureC1 = A1C2 = A1 + A2C3
points of the transformation can be expressed as:
According to the transformation formula:
Define several auxiliary variables:
All for 0 o'clock the transformation plane is parallel to the original, and can be obtained:
Not for 0 o'clock, get:
The transformed matrix can transform a square to a quadrilateral. Conversely, the quadrilateral transformation to the square is the same. So we can transform any quadrilateral to another quadrilateral by two transformations: quadrilateral transformati
are irrelevant
Get Training samples:
The case table is a training sample.
3.2.2Classifier Training PhaseCalculate P (Yi) for each category:
Category Division:
C={C0: Cold; C1: allergy; C2: Concussion};//c0=80; c1=50; C2=30
Then there is the class probability as follows (priori probability):
P (C0) =1/2;p (C1) =5/16;p (C2) =3/16
The conditional probabilities for all divisions are computed for each feature attribute:
Feature attributes:
Symptoms
Two, the tree-like array can be extended to two-dimensional.
Problem: A large matrix made up of numbers that can perform two kinds of operations
1 to a number in the Matrix plus an integer (can be positive and negative)
2 Query a matrix of all the numbers and requirements for each query, output results.
A one-dimensional tree array can easily be extended to two-dimensional, in two-dimensional cases: array a[][] The tree array is defined as:
C[x][y] =∑a[i][j], of which,
X-lowbit (x) + 1 Y-low
Transferred from: http://www.cnblogs.com/soroman/archive/2008/03/21/1115571.htmlThinking: Matrices and transformations, and the use of matrices in DirectX and OpenGL1. Matrix and Linear transformations: one by one correspondenceA matrix is a tool used to represent a linear transformation, which corresponds to a linear transformation of one by one.Consider a linear transformation:a11*x1 + a12*x2 + ... +a1n*xn = X1 'a21*x1 + a22*x2 + ... +a2n*xn = X2 '.
Quality exception ball problems in 12 small balls measured three times without Weight Balance
Original Title:There are 12 small balls with the same features, and only one of them has a quality exception. It is required to be called three times without a weight to find the ball with an abnormal quality.Solution:Set the standard ball quality to W, and represent any normal ball. Number the 12 balls A1, A2,..., and A12 in sequence:A1, A2, A3, and A4 are
Thinking: matrix and transformation, and the application of matrix in DirectX and OpenGL
1. Matrix and linear transformation: one-to-one correspondence
A matrix is a tool used to represent linear transformations. It corresponds to linear transformations one by one.Consider linear transformation:A11 * x1 + a12 * x2 +... + a1n * xn = x1'A21 * x1 + a22 * x2 +... + a2n * xn = x2'...Am1 * x1 + am2 * x2 +... + amn * xn = xm'
Correspondingly, the matrix rep
the determining factor is very significant.
How can we use the above source to derive the formula for determining the determinant? In any linear algebraic number, I will omit it. The formula is as follows:
For N x n matrix,
Det (A) = A11 (when n = 1)
Det (A) = A11 * A11 + A12 * A12 +... + A1N * A1N (when n> 1)
Among them, a1j = (-1) 1 + J power * DETA (m1j) (where j = 1,..., n)
It is the remainder of the f
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