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matlab例程 ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors

ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix an ...
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汇编语言 单纯形法算法,int K,M,N,Q=100,Type,Get,Let,Et,Code[50],XB[50],IA,IAA[50],Indexg,Indexl,Indexe float Sum,A

单纯形法算法,int K,M,N,Q=100,Type,Get,Let,Et,Code[50],XB[50],IA,IAA[50],Indexg,Indexl,Indexe float Sum,A[50][50],B[50],C[50]
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微处理器开发 这是用ARM7语言,在SUM G(三星)S3CEV40的公司的例案教程.

这是用ARM7语言,在SUM G(三星)S3CEV40的公司的例案教程.
https://www.eeworm.com/dl/655/286018.html
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Java编程 用Java编写的maximum contiguous subsequence sum algorithm 实现, 希望对大家有所帮助

用Java编写的maximum contiguous subsequence sum algorithm 实现, 希望对大家有所帮助
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其他 LDPC Decoder for rate=1/2 Min-Sum, Sum-Product, Scaling Min-Sum Layered Decoding for Matlab Code

LDPC Decoder for rate=1/2 Min-Sum, Sum-Product, Scaling Min-Sum Layered Decoding for Matlab Code
https://www.eeworm.com/dl/534/318232.html
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matlab例程 %例15-1 NaN数据参与分析 a = magic(3) a(2,2) = NaN %用NaN表示遗失数据 sum(a) %对数据集进行求和

%例15-1 NaN数据参与分析 a = magic(3) a(2,2) = NaN %用NaN表示遗失数据 sum(a) %对数据集进行求和
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VHDL/FPGA/Verilog 自动售货机的sum-cash源码

自动售货机的sum-cash源码, 主要负责自动售货机的计算钱和找零的应用。简单实用
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人工智能/神经网络 这是一个将n个样本聚类到m个类别中 将n个样本在m个类里如何分配输出的遗传算法代码。 适应度:sum(i=1_110)sum(j=1_20)【xi-vj】~2

这是一个将n个样本聚类到m个类别中 将n个样本在m个类里如何分配输出的遗传算法代码。 适应度:sum(i=1_110)sum(j=1_20)【xi-vj】~2
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汇编语言 Abstract A new intelligent milometer base on a microcontroller can count the sum. By taking full u

Abstract A new intelligent milometer base on a microcontroller can count the sum. By taking full use of the processor 89s51 and E&sup2 PROM (AT24C02) and sensor of magnetism, it can count the sum of fully distance and the course of development.
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企业管理 Relationship Between the Sum of Squared Difference (SSD) and Cross Correlation for Template Matchin

Relationship Between the Sum of Squared Difference (SSD) and Cross Correlation for Template Matching Konstantinos G. Derpanis York University kosta@cs.yorku.ca Version 1.0 December 23, 2005
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