variables
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variables 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 65 篇文章，持续更新中。
his header file that is used to define all preprossor directives, global variables, and prototype
his header file that is used to define all preprossor directives,
global variables, and prototypes.
The user must modify this header file for their particular Bridge Transducer
in use before proc
finding subsets of variables using a variety of different algorithms
finding subsets of variables using a variety of different algorithms
Description Scientific calculator. Allows to perform caclulation with high precicion and implemen
Description
Scientific calculator. Allows to perform caclulation with high precicion and implements most populatr mathematical functions: sin, cos, tan, asin, acon, atan, exp, log, sqr, floor and c
GUI FOR GENERATING MULTIVARIATE RANDOM VARIABLES FROM MIXTURE的matlab实现
GUI FOR GENERATING MULTIVARIATE RANDOM VARIABLES FROM MIXTURE的matlab实现
Generate the digital AWGN signal n[k] (sampled n(t)) by generating zero mean Gaussian random variab
Generate the digital AWGN signal n[k] (sampled n(t)) by generating zero mean
Gaussian random variables independently (separately) for each k MATLAB function random.
Fixed-point for functions of several variables
Fixed-point for functions of several variables
BNB20 Finds the constrained minimum of a function of several possibly integer variables. ％ Usage: [
BNB20 Finds the constrained minimum of a function of several possibly integer variables.
％ Usage: [errmsg,Z,X,t,c,fail] =
％ BNB20(fun,x0,xstatus,xlb,xub,A,B,Aeq,Beq,nonlcon,settings,options,P1,P2,.
％ ％ set some variables in the workspace to control behaviour: ％ ％ graphicsMode 0 no graphics, ％
％
％ set some variables in the workspace to control behaviour:
％
％ graphicsMode 0 no graphics,
％ 1 graphics, particles, beacons, ground truth
％ 2 graphics, as above + range circles
％
％ perfe
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of n
BLT is a library of extensions to the Tk library. It adds new commands and variables to the applicat
BLT is a library of extensions to the Tk library. It adds new commands and variables to the application s interpreter.
getip1.cpp // // This program reports the IP address for each adapter in your machine. // To comp
getip1.cpp
//
// This program reports the IP address for each adapter in your machine.
// To compile from command-line type:
//
// cl getip1.cpp wsock32.lib
//
// Make sure your INCLUDE and LIB
It s an entire application that uses knowdledge of probabilistic and statistical math to generate an
It s an entire application that uses knowdledge of probabilistic and statistical math to generate and display radom variables characteristics and histograms...it includes a console too for changing or
The extern Keyword.Declarations of variables and functions at file scope are external by default.
The extern Keyword.Declarations of variables and functions at file scope are external by default.
This document specifies a collection of compiler directives, library routines, and environment vari
This document specifies a collection of compiler directives, library routines, and
environment variables that can be used to specify shared-memory parallelism in C, C++
and Fortran programs. This fu
this code gives out put as whether a particular car is family car or not depending on the input vari
this code gives out put as whether a particular car is family car or not depending on the input variables such as engine power and price(it is run scilab(both in linux and windows)
This text shows how to analyze programs without its source code, using a debugger and a disassembler
This text shows how to analyze programs without its source code, using a debugger and a disassembler, and covers hacking methods including virtual functions, local and global variables, branching, loo
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement bas
A sparse variant of the Levenberg-Marquardt algorithm implemented by levmar has been applied to bund
A sparse variant of the Levenberg-Marquardt algorithm implemented by levmar has been applied to bundle adjustment, a computer vision/photogrammetry problem that typically involves several thousand var
A Web Tutorial on Discrete Features of Bayes Decision Theory This applet allows for the calculation
A Web Tutorial on Discrete Features of Bayes Decision Theory
This applet allows for the calculation of the decision boundary given a three dimensional feature vector. Specifically, by stipulating the
44b0公版的测试程序
44b0公版的测试程序， *******************************************************
* NAME : 44BINIT.S *
* Version : 10.JAn.2003 *
* Description: *
* C start up codes *
* Configure memory, In