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Energy 的代码
template_cost.txt
function Ew = PROBLEMNAME_cost(X,W)
% Ew = PROBLEMNAME_cost(X,W)
%
% X = behaviorally constant application data
%
% W = specific data about current state
%
% Ew = energy corresponding to
rce.m
function D = RCE(train_features, train_targets, lambda_m, region)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% features - Train features
% targets - Train targets
% la
template_cost.txt
function Ew = PROBLEMNAME_cost(X,W)
% Ew = PROBLEMNAME_cost(X,W)
%
% X = behaviorally constant application data
%
% W = specific data about current state
%
% Ew = energy corresponding to
makefile
MODULE_NAME = test_synch_ms
DEPENDS = rrc synch energy
BASE := $(shell pwd | perl -pi -e "s/(.*(SRadio|Main)[^\/]*).*/\1/")
include $(BASE)/Include/module.mk
makefile
MODULE_NAME = test_synch_ms
DEPENDS = rrc synch energy
BASE := $(shell pwd | perl -pi -e "s/(.*(SRadio|Main)[^\/]*).*/\1/")
include $(BASE)/Include/module.mk
energywindow.java
package org.trinet.util;
import org.trinet.util.velocitymodel.*;
import org.trinet.jasi.TravelTime;
/**
* A TimeSpan defining a window where you are likely to find
* the seismic energy. There
conic3.m
%conic3.m - script uses the conic section curve formula with rmim and
%eccentricity ye. Case of Rutherford scattering, given the initial
%projectile energy and impact parameter.
clear; warning off
rce.m
function D = RCE(train_features, train_targets, lambda_m, region)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% features - Train features
% targets - Train targets
% la
afterb_sm_li.inp
afterB_SM_Li.inp
{
High-energy electron bunch enters a neutral lithium gas in cylindrical geometry --
Modeling the SLAC "afterburner" concept of Tom Katsouleas with self-ionization.
This input file
afterb_ti_h.inp
afterB_TI_H.inp
{
High-energy electron bunch enters a quiet plasma in cylindrical geometry --
Modeling the SLAC "afterburner" concept of Tom Katsouleas, but with Li
replaced by H.
This input file in