代码搜索：complexity
找到约 493 项符合「complexity」的源代码
代码结果 493
www.eeworm.com/read/255695/12064480
pdf a8. computaional complexity management of motion estimation in a video encoders.pdf
www.eeworm.com/read/426899/8992478
c pit_lib.c
/*
*2.4 kbps MELP Proposed Federal Standard speech coder
*
*TMS320C5x assembly code
*
*version 1.0
*
*Copyright (c) 1998, Texas Instruments, Inc.
*
*Texas Instruments has intellectual pro
www.eeworm.com/read/362743/9983925
h gdsl_queue.h
/*
* This file is part of the Generic Data Structures Library (GDSL).
* Copyright (C) 1998-2006 Nicolas Darnis .
*
* The GDSL library is free software; you can redistribute it and
www.eeworm.com/read/362743/9983934
h gdsl_heap.h
/*
* This file is part of the Generic Data Structures Library (GDSL).
* Copyright (C) 1998-2006 Nicolas Darnis .
*
* The GDSL library is free software; you can redistribute it and
www.eeworm.com/read/362743/9983988
h gdsl_rbtree.h
/*
* This file is part of the Generic Data Structures Library (GDSL).
* Copyright (C) 1998-2006 Nicolas Darnis .
*
* The GDSL library is free software; you can redistribute it and
www.eeworm.com/read/361299/10058842
m ex052200.m
% Computational Complexity of FFT using MATLAB
%
Nmax = 2048;
fft_time=zeros(1,Nmax);
for n=1:1:Nmax
disp(n);
x=ones(1,n);
t=clock;fft(x);fft_time(n)=etime(clock,t);
end
n=[1:1:Nmax];
plot(n,
www.eeworm.com/read/162609/10291360
c math_lib.c
/*
2.4 kbps MELP Proposed Federal Standard speech coder
Fixed-point C code, version 1.0
Copyright (c) 1998, Texas Instruments, Inc.
Texas Instruments has intellectual property rights on
www.eeworm.com/read/161855/10360881
risk example1.risk
# example risk specification using "interest rate" losses
categories {
one, two, three
}
prior {
2, 1, 1
}
loss_matrix {
"" one [ 0, (1.1)^complexity, (1.1)^complexity ]
"" t
www.eeworm.com/read/161855/10361100
risk example2.risk
# Same as example1.risk but with a small increase in two/three,
# and an regular expression dependent loss matrix
categories {
one, two, three
}
prior {
2, 1, 1
}
loss_matrix {
"^proportion:
www.eeworm.com/read/161855/10361131
risk example3.risk
# Same as example1.risk but with a small increase in two/three,
# and an regular expression dependent loss matrix
categories {
one, two, three
}
prior {
2, 1, 1
}
loss_matrix {
"^proportion: