代码搜索：minimum
找到约 5,594 项符合「minimum」的源代码
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www.eeworm.com/read/101075/6254901
properties jxta.properties
# JXTA Properties
# How long (in millis) the sessions/leases are for relay leases.
RelayServer.LeaseLength = 1800000
# The minimum and maximum size of the thread pools for the http server
Http
www.eeworm.com/read/101075/6255728
properties jxta.properties
# JXTA Properties
# How long (in millis) the sessions/leases are for relay leases.
RelayServer.LeaseLength = 1800000
# The minimum and maximum size of the thread pools for the http server
Http
www.eeworm.com/read/490761/6442146
m argmin.m
function indices = argmin(v)
% ARGMIN Return as a subscript vector the location of the smallest element of a multidimensional array v.
% indices = argmin(v)
%
% Returns the first minimum in the ca
www.eeworm.com/read/478412/6717438
m znewlens.m
function Status = zNewLens()
% zNewLens - Erases the current lens in the ZEMAX DDE server.
%
% Usage : Status = zNewLens
%
% This function erases the current lens. The 'minimum' lens that remains
www.eeworm.com/read/158370/11622936
cpp 3iii.cpp
#include
// GetValueBetween() Inputs and returns a value which
// is between parameters min and max.
// IN: min -- the minimum acceptable input
// max -- the maximum acceptable i
www.eeworm.com/read/259886/11760049
m demolin7.m
%% Too Large a Learning Rate
% A linear neuron is trained to find the minimum error solution for a simple
% problem. The neuron is trained with the learning rate larger than the one
% suggested by
www.eeworm.com/read/343020/11983311
m getminshearspeed.m
function CsMin = GetMinShearSpeed(Env)
%Returns the minimum shear speed for the Environment
%Returns [] if all layers are fluid (Cs = 0)
CsMin = [];
if ~isempty(Env.LayerArr)
NLayer = length
www.eeworm.com/read/343020/11983339
m getminsoundspeed.m
function CpMin = GetMinSoundSpeed(Env)
%Returns the minimum compressional sound speed for the Environment
if isempty(Env.LayerArr)
CpMin = [];
else
NLayer = length(Env.LayerArr);
CpMin
www.eeworm.com/read/152250/12130941
txt readme.txt
This directory contains examples of learning the structure of an HMM
using a minimum entropy prior. Written by Kevin Murphy,
based on "Structure learning in conditional probability models via an ent
www.eeworm.com/read/148707/12436834
cpp 3iii.cpp
#include
// GetValueBetween() Inputs and returns a value which
// is between parameters min and max.
// IN: min -- the minimum acceptable input
// max -- the maximum acceptable i