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                    数学建模方法与分析                                 ]</p><div style="width: 740.0px;margin: 0 auto;padding: 40.0px 0 20.0px 0;color: #666666;" align="left"><div style="padding: 10.0px 0 0 0;"><span style="margin-left: 20.0px;">[作]&nbsp;&nbsp;[者:]</span><span style="margin-left: 20.0px;">[(美)米尔斯切特 著作]</span></div><img style="float: left;" src="https://img.alicdn.com/imgextra/i1/101450072/TB28iyVhwxlpuFjSszgXXcJdpXa-101450072.png" alt=""><div style="padding: 10.0px 0 0 0;"><span style="margin-left: 20.0px;">[定]&nbsp;&nbsp;[价:]</span><span style="margin-left: 20.0px;">69</span></div><img style="float: left;" src="https://img.alicdn.com/imgextra/i1/101450072/TB28iyVhwxlpuFjSszgXXcJdpXa-101450072.png" alt=""><div style="padding: 10.0px 0 0 0;"><span style="margin-left: 20.0px;">[出]&ensp;[版]&ensp;[社:]</span><span style="margin-left: 20.0px;">[机械工业出版社]</span></div><img style="float: left;" src="https://img.alicdn.com/imgextra/i1/101450072/TB28iyVhwxlpuFjSszgXXcJdpXa-101450072.png" alt=""><div style="padding: 10.0px 0 0 0;"><span style="margin-left: 20.0px;">[出版日期:]</span><span style="margin-left: 20.0px;">[2014年01月01日]</span></div><img style="float: left;" src="https://img.alicdn.com/imgextra/i1/101450072/TB28iyVhwxlpuFjSszgXXcJdpXa-101450072.png" alt=""><div style="padding: 10.0px 0 0 0;"><span style="margin-left: 20.0px;">[页]&nbsp;&nbsp;[数:]</span><span style="margin-left: 20.0px;">365</span></div><img style="float: left;" src="https://img.alicdn.com/imgextra/i1/101450072/TB28iyVhwxlpuFjSszgXXcJdpXa-101450072.png" alt=""><div style="padding: 5.0px 0;"><span style="margin-left: 20.0px;">[装]&nbsp;&nbsp;[帧:]</span><span style="margin-left: 20.0px;">[平装]</span></div><img style="float: left;" src="https://img.alicdn.com/imgextra/i1/101450072/TB28iyVhwxlpuFjSszgXXcJdpXa-101450072.png" alt=""><div style="padding: 10.0px 0 0 0;"><span style="margin-left: 20.0px;">ISBN:</span><span style="margin-left: 20.0px;">9787111448099</span></div><img style="float: left;" src="https://img.alicdn.com/imgextra/i1/101450072/TB28iyVhwxlpuFjSszgXXcJdpXa-101450072.png" alt=""></div></div><img class="desc_anchor" id="desc-module-3" src="https://assets.alicdn.com/kissy/1.0.0/build/imglazyload/spaceball.gif"><div align="center" style="width: 790.0px;margin: 0 auto;font-size: 29.5px;"><img alt="[目录]" src="https://img.alicdn.com/imgextra/i1/101450072/TB2dGIjcNRDOuFjSZFzXXcIipXa-101450072.png" style="padding: 30.0px 0 0 0;width: 790.0px;"><div align="left" style="width: 650.0px;margin: auto;text-align: left;"><span style="margin-right: 18.0px;">[●]</span>Preface<br>[ Ⅰ OPTIMIZATION MODELS]<br> 1 ONE VARIABLE OPTIMIZATION<br> 1.1 The five-step Method<br> 1.2 Sensitivity Analysis<br> 1.3 Sensitivity and Robustness<br> 1.4 Exercises<br> 2 MULTIVARIABLE OPTIMIZATION<br> 2.1 Unconstrained Optimization<br> 2.2 Lagrange Multipliers<br>[ 2.3 Sensitivity Analysis and Shadow Prices]<br> 2.4 Exercises<br>[ 3 COMPUTATIONAL METHODS FOR OPTIMIZATION]<br> 3.1 One Variable Optimization<br> 3.2 Multivariable Optimization<br> 3.3 Linear Programming<br> 3.4 Discrete Optimization<br> 3.5 Exercises<br>[ Ⅱ DYNAMIC MODELS]<br> 4 INTRODUCTION TO DYNAMIC MODELS<br> 4.1 Steady State Analysis<br> 4.2 Dynamical Systems<br> 4.3 Discrete Time Dynamical Systems<br> 4.4 Exercises<br> 5 ANALYSIS OF DYNAMIC MODELS<br> 5.1 Eigenvalue Methods<br>[ 5.2 Eigenvalue Methods for Discrete Systems]<br> 5.3 Phase Portraits<br> 5.4 Exercises<br> 6 SIMULATION OF DYNAMIC MODELS<br> 6.1 Introduction to Simulation<br> 6.2 Continuous-Time Models<br> 6.3 The Euler Method<br> 6.4 Chaos and Fractals<br> 6.5 Exercises<br>[ Ⅲ PROBABILITY MODELS]<br> 7 INTRODUCTION TO PROBABILITY MODELS<br> 7.1 Discrete Probability Models<br> 7.2 Continuous Probability Models<br> 7.3 Introduction to Statistics<br> 7.4 Diffusion<br> 7.5 Exercises<br> 8 STOCHASTIC MODELS<br> 8.1 Markov Chains<br> 8.2 Markov Processes<br> 8.3 Linear Regxession<br> 8.4 Time Series<br> 8.5 Exercises<br> 9 SIMULATION OF PROBABILITY MODELS<br> 9.1 Monte Carlo Simulation<br> 9.2 The Markov Property<br> 9.3 Analytic Simulation<br> 9.4 Particle Tracking<br> 9.5 Fractional Diffusion<br> 9.6 Exercises<br> Afterword<br>[ Index                                         ]</div></div><img class="desc_anchor" id="desc-module-4" src="https://assets.alicdn.com/kissy/1.0.0/build/imglazyload/spaceball.gif"><div class="detailpage-content" style="background: #a4a4a4;color: #fefeff;padding: 20.0px 0;width: 790.0px;margin: 0 auto;font-family: 微软雅黑;font-size: 29.5px;" align="center"><img style="width: 790.0px;" src="https://img.alicdn.com/imgextra/i4/101450072/TB2uhKJhB0kpuFjSsppXXcGTXXa-101450072.png" alt="[内容虚线]"><p style="font-size: 40.0px;font-weight: bold;padding: 0.0px;margin: 0.0px;">[内容简介]</p><img style="width: 790.0px;" src="https://img.alicdn.com/imgextra/i2/101450072/TB2LvCmhxXkpuFjy0FiXXbUfFXa-101450072.png" alt=""><p style="text-indent: 2.0em;line-height: 44.17px;width: 715.0px;margin: 0 auto;text-align: left;">[                                         从基因工程到飓风预测，数学模型为我们社会中的许多决策支持指明了方向。如果作为建模基础的假设和方法是有缺陷的，结果可能极其糟糕。米尔斯切特编著的《数学建模方法与分析(英文版第4版)》对数学建模这一主题给出了严谨的论述，提出了一种通用的数学建模方法――五步方法(提出问题、选择建模方法、推导模型的数学表达式、求解模型、回答问题)，帮助读者迅速掌握数学建模的真谛。《数学建模方法与分析(英文版第4版)》以引人入胜的方式描述了数学模型的3个主要领域：很优化、动力系统和随机过程，引导读者以实用的方法解决各式各样的现实问题。]<br>[ 第4版增加了关于粒子跟踪和异常扩散(包括分数阶微积分)的新节。                                 ]</p></div><img class="desc_anchor" id="desc-module-5" src="https://assets.alicdn.com/kissy/1.0.0/build/imglazyload/spaceball.gif"><img class="desc_anchor" id="desc-module-6" src="https://assets.alicdn.com/kissy/1.0.0/build/imglazyload/spaceball.gif"><div class="instructions" style="width: 790.0px;margin: auto;"><img src="https://img.alicdn.com/imgextra/i1/101450072/O1CN01xQYssl1CP1BAYd969_!!101450072.jpg" width="790" height="3620"></div>

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Фотографии

[ 数学建模方法与分析 ]

[作] [者:][(美)米尔斯切特著作]

[定] [价:]69

[出] [版] [社:][机械工业出版社]

[出版日期:][2014年01月01日]

[页] [数:]365

[装] [帧:][平装]

ISBN:9787111448099

[●]Preface
[ Ⅰ OPTIMIZATION MODELS]
1 ONE VARIABLE OPTIMIZATION
1.1 The five-step Method
1.2 Sensitivity Analysis
1.3 Sensitivity and Robustness
1.4 Exercises
2 MULTIVARIABLE OPTIMIZATION
2.1 Unconstrained Optimization
2.2 Lagrange Multipliers
[ 2.3 Sensitivity Analysis and Shadow Prices]
2.4 Exercises
[ 3 COMPUTATIONAL METHODS FOR OPTIMIZATION]
3.1 One Variable Optimization
3.2 Multivariable Optimization
3.3 Linear Programming
3.4 Discrete Optimization
3.5 Exercises
[ Ⅱ DYNAMIC MODELS]
4 INTRODUCTION TO DYNAMIC MODELS
4.1 Steady State Analysis
4.2 Dynamical Systems
4.3 Discrete Time Dynamical Systems
4.4 Exercises
5 ANALYSIS OF DYNAMIC MODELS
5.1 Eigenvalue Methods
[ 5.2 Eigenvalue Methods for Discrete Systems]
5.3 Phase Portraits
5.4 Exercises
6 SIMULATION OF DYNAMIC MODELS
6.1 Introduction to Simulation
6.2 Continuous-Time Models
6.3 The Euler Method
6.4 Chaos and Fractals
6.5 Exercises
[ Ⅲ PROBABILITY MODELS]
7 INTRODUCTION TO PROBABILITY MODELS
7.1 Discrete Probability Models
7.2 Continuous Probability Models
7.3 Introduction to Statistics
7.4 Diffusion
7.5 Exercises
8 STOCHASTIC MODELS
8.1 Markov Chains
8.2 Markov Processes
8.3 Linear Regxession
8.4 Time Series
8.5 Exercises
9 SIMULATION OF PROBABILITY MODELS
9.1 Monte Carlo Simulation
9.2 The Markov Property
9.3 Analytic Simulation
9.4 Particle Tracking
9.5 Fractional Diffusion
9.6 Exercises
Afterword
[ Index ]

[内容简介]

[ 从基因工程到飓风预测，数学模型为我们社会中的许多决策支持指明了方向。如果作为建模基础的假设和方法是有缺陷的，结果可能极其糟糕。米尔斯切特编著的《数学建模方法与分析(英文版第4版)》对数学建模这一主题给出了严谨的论述，提出了一种通用的数学建模方法――五步方法(提出问题、选择建模方法、推导模型的数学表达式、求解模型、回答问题)，帮助读者迅速掌握数学建模的真谛。《数学建模方法与分析(英文版第4版)》以引人入胜的方式描述了数学模型的3个主要领域：很优化、动力系统和随机过程，引导读者以实用的方法解决各式各样的现实问题。]
[ 第4版增加了关于粒子跟踪和异常扩散(包括分数阶微积分)的新节。 ]