We describe and demonstrate an algorithm that takes as input an
unorganized set of points fx1 xng IR3 on or near an unknown
manifold M, and produces as output a simplicial surface that
approximates M. Neither the topology, the presence of boundaries,
nor the geometry of M are assumed to be known in advance — all
are inferred automatically from the data. This problem naturally
arises in a variety of practical situations such as range scanning
an object from multiple view points, recovery of biological shapes
from two-dimensional slices, and interactive surface sketching.
This document contains official rules of the 3D soccer simulation competition
at RoboCup 2006. While we will try to cover all cases, if unexpected
events do occur, the rule committee will seek input from the
participants and then make a decision. However, once the committee has
made a decision, that decision is final and will not be open to further
discussion
Flex chip implementation
File: UP2FLEX
JTAG jumper settings: down, down, up, up
Input:
Reset - FLEX_PB1
Input n - FLEX_SW switches 1 to 8
Output:
Countdown - two 7-segment LEDs.
Done light - decimal point on Digit1.
Operation:
Setup the binary input n number.
Press the Reset switch.
See the countdown from n down to 0 on the 7-segment LEDs.
Done light lit when program terminates.
Batch version of the back-propagation algorithm.
％ Given a set of corresponding input-output pairs and an initial network
％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the
％ network with backpropagation.
％
％ The activation functions must be either linear or tanh. The network
％ architecture is defined by the matrix NetDef consisting of two
％ rows. The first row specifies the hidden layer while the second
％ specifies the output layer.
％
數(shù)值計算牛頓迭代法的matlab源程序
說明如下：
％fun----input,the part as the form of f(x) in the equation f(x)=0
％ ini----input,sets the starting point to ini
％ err----input,sets admissible error
％ sol----output,returns the root of equation
