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www.eeworm.com/read/408395/11390159
changes
Version 0.4.4
Total freeze bug (in network code; local as well as remote) fixed
Version 0.4.3
Savegame crash bug fixed
Universe liveliness increased
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Multipla
www.eeworm.com/read/262715/11392829
m workflow.m
% ECE597II HW#2
% Problem 2: Waveguide Discontinuity
% by Wei Wang, ECE, UMass
clear all;
clc;
usrSetup; % set up parameters for running program
geoPlot; %~
geoMa
www.eeworm.com/read/400577/11572599
m gendats.m
%GENDATS Generation of a simple classification problem of 2 Gaussian classes
%
% A = GENDATS (N,K,D,LABTYPE)
%
% INPUT
% N Dataset size, or 2-element array of class sizes (default: [50 50]
www.eeworm.com/read/400577/11572999
m gentrunk.m
%GENTRUNK Generation of Trunk's classification problem of 2 Gaussian classes
%
% A = GENTRUNK(N,K)
%
% INPUT
% N Dataset size, or 2-element array of class sizes (default: [50 50]).
% K
www.eeworm.com/read/348004/11618350
htm stringbufferexample.htm
Example
Note: The latest versions of Firefox seem to have fixed the string concatenation problem. If you are using Firefox 1.0 or l
www.eeworm.com/read/347945/11623442
m blockmonomialreduction.m
function N = blockmonomialreduction(exponent_p,N,options)
%BLOCKMONOMIALREDUCTION Internal function to reduce monomials in SOS problem
% Author Johan L鰂berg
% $Id: blockmonomialreduction.m,v 1.1
www.eeworm.com/read/157516/11697016
m mylinprog.m
% function associate_prob = myLinProg(cost)
%
% use Linear programming to solve the relaxed S-D assignment problem
%
% cost --- the cost matrix in high-dim matrix form, dimensionality = S
%
www.eeworm.com/read/345785/11792141
txt pcprb2.out.txt
PCPRB2:
PITCON sample program.
The aircraft stability problem
Number of equations is 7
Number of variables is 8
using option 1
fix variable 6 at -5.00000000000000028E-2
www.eeworm.com/read/344238/11897389
java lostmessagefound19.java
// exceptions/LostMessageFound19.java
// TIJ4 Chapter Exceptions, Exercise 19, page 479
// Repair the problem in LostMessage.java by guarding the call in the
// finally clause.
class VeryImporta
www.eeworm.com/read/153969/11997428
m demgp.m
%DEMGP Demonstrate simple regression using a Gaussian Process.
%
% Description
% The problem consists of one input variable X and one target variable
% T. The values in X are chosen in two separated c