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Energy 的代码
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
ade7169meter.dep
1
Debug
$PROJ_DIR$\Energy_Module.c
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
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
vectors.cpp
// ENERGY211/CME211
//
// matrix.cpp - Implementation file for Project 1
//
#include "vectors.h" // Must include corresponding header file
#include
using namespace std;
///////////////////
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
3dnhbs.lpr
PROBLEM: Half bound state energy level of the 2D problem
********
C O N T R O L I N F O R M A T I O N
---------------------------------
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