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方方格子 Excel工具箱 V3.2.6.2破解 评分:

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2018-08-18 上传 大小：89.00MB
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方方格子软件

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方方格子-wps版.....

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Optimization Modelling A Practical Approach

List of Figures...................................................................................................... xv List of Tables ...................................................................................................... xxi List of Mathematical Notations .................................................................... xxiv Preface ................................................................................................................. xxv Acknowledgments ........................................................................................... xxix Authors............................................................................................................... xxxi Section I Introduction to Optimization and Modelling 1 Introduction ......................................................................................................3 1.1 General Introduction .............................................................................3 1.2 History of Optimization .......................................................................4 1.3 Optimization Problems.........................................................................5 1.4 Mathematical Model..............................................................................6 1.4.1 Characteristics and Assumptions ........................................... 6 1.5 Concept of Optimization ......................................................................8 1.6 Classification of Optimization Problems .........................................11 1.7 Organization of the Book ...................................................................13 Exercises ...........................................................................................................14 References ........................................................................................................15 2 The Process of Optimization.......................................................................17 2.1 Introduction ..........................................................................................17 2.2 Decision Process...................................................................................17 2.3 Problem Identification and Clarification .........................................19 2.4 Problem Definition ..............................................................................20 2.5 Development of a Mathematical Model ..........................................21 2.5.1 Measure of Effectiveness........................................................ 23 2.6 Deriving a Solution..............................................................................25 2.7 Sensitivity Analysis .............................................................................26 2.8 Testing the Solution.............................................................................26 2.9 Implementation ....................................................................................27 v 2.10 Summary ...............................................................................................28 Exercises ...........................................................................................................29 3 Introduction to Modelling ...........................................................................31 3.1 Introduction ..........................................................................................31 3.2 Components of a Mathematical Model............................................31 3.2.1 Decision Variables................................................................... 32 3.2.2 Objective Function................................................................... 32 3.2.3 Constraints................................................................................ 32 3.3 Simple Examples..................................................................................32 3.4 Analyzing a Problem...........................................................................34 3.4.1 A Nonmathematical Programming Problem...................... 35 3.5 Modelling a Simple Problem .............................................................36 3.5.1 Defining the Variables ............................................................ 37 3.5.2 Objective Function................................................................... 37 3.5.3 Constraints................................................................................ 37 3.6 Linear Programming Model ..............................................................39 3.7 More Mathematical Models ...............................................................39 3.8 Integer Programming..........................................................................42 3.9 Multi-Objective Problem.....................................................................45 3.9.1 Objective versus Goal ............................................................. 47 3.10 Goal Programming ..............................................................................47 3.11 Nonlinear Programming.....................................................................49 3.12 Summary ...............................................................................................52 Exercises ...........................................................................................................52 Section II Modelling Techniques 4 Simple Modelling Techniques I ................................................................59 4.1 Introduction ..........................................................................................59 4.2 Use of Subscripts in Variables ...........................................................59 4.3 Simple Modelling Techniques ...........................................................60 4.3.1 Additional Work Requirement in the Formulation........... 61 4.3.2 Variables as Fractions of Other Variables ........................... 64 4.3.3 Maintaining Certain Ratios among Different Variables .... 68 4.3.4 One Constraint Is a Fraction of Another Constraint ......... 70 4.3.5 Maxi–Min or Mini–Max Objective Function....................... 75 4.3.6 Multi-Period Modelling.......................................................... 77 4.3.7 Transforming Infeasible Solutions to Satisfactory Solutions.................................................................................... 79 4.3.8 Single to Multiple Objectives ................................................ 81 4.4 Special Types of Linear Programming.............................................82 4.4.1 Transportation Problem ......................................................... 83 4.4.2 Assignment Problem .............................................................. 86 4.4.3 Transshipment Problem ......................................................... 88 4.4.4 Project Management Problem ............................................... 91 vi 4.5 Summary ...............................................................................................98 Exercises ...........................................................................................................98 Bibliography ..................................................................................................102 5 Simple Modelling Techniques II .............................................................103 5.1 Introduction ........................................................................................103 5.2 Precedence Constraints.....................................................................103 5.3 Either–or Constraints ........................................................................104 5.4 K out of N Constraints Must Hold .................................................105 5.5 Yes-or-No Decisions ..........................................................................106 5.6 Functions with N Possible Values...................................................108 5.7 Mutually Exclusive Alternatives and Contingent Decisions......109 5.8 Linking Constraints with the Objective Function ........................111 5.9 Piecewise Linear Functions ..............................................................113 5.10 Nonlinear to Approximate Functions ............................................116 5.11 Deterministic Models with Probability Terms..............................118 5.12 Alternate Objective Functions .........................................................121 5.13 Constrained to Unconstrained Problem ........................................122 5.14 Simplifying Cross Product of Binary Variables............................124 5.15 Fractional Programming...................................................................126 5.16 Unrestricted Variables.......................................................................128 5.17 Changing Constraint and Objective Type .....................................129 5.17.1 From  to¼Constraints..................................................... 129 5.17.2 From  to¼Constraints..................................................... 130 5.17.3 From  to  Constraints.................................................... 130 5.17.4 From  to  Constraints.................................................... 130 5.17.5 From ¼ Constraint to  and  Constraints.................... 130 5.17.6 Changing Objective Type................................................... 131 5.18 Conditional Constraints....................................................................132 5.19 Dual Formulation...............................................................................133 5.20 Regression Model ..............................................................................136 5.21 Stochastic Programming...................................................................137 5.22 Constraint Programming..................................................................137 5.23 Summary .............................................................................................138 Exercises .........................................................................................................138 Bibliography ..................................................................................................142 References ......................................................................................................143 6 Modelling Large-Scale and Well-Known Problems I..........................145 6.1 Introduction ........................................................................................145 6.2 Use of the Summation (S) Sign.......................................................145 6.3 Use of the Subset (2) Sign ................................................................147 6.4 Network Flow Problems...................................................................149 6.4.1 Shortest Path Problem ........................................................ 149 6.4.2 Maximum Flow Problem ................................................... 150 6.4.3 Multi-Commodity Flow Problem ..................................... 152 vii 6.5 Knapsack Problem...............................................................................154 6.5.1 Capital Budgeting Problem................................................... 154 6.5.2 Bin Packing Problem .............................................................. 155 6.5.3 Cutting Stock Problem ........................................................... 157 6.6 Facility Location and Layout .............................................................159 6.6.1 Facility Location Problem...................................................... 159 6.6.2 Facility Layout Problem......................................................... 161 6.7 Production Planning and Scheduling ..............................................164 6.7.1 Relevant Literature ................................................................. 165 6.8 Logistics and Transportation .............................................................167 6.8.1 Airlift Problem ........................................................................ 167 6.8.2 Relevant Literature ................................................................. 168 6.9 Summary ...............................................................................................170 Exercises .........................................................................................................170 References ......................................................................................................172 7 Modelling Well-Known Problems II.......................................................177 7.1 Introduction ..........................................................................................177 7.2 Job and Machine Scheduling .............................................................177 7.2.1 Relevant Literature ................................................................. 179 7.3 Assignment and Routing....................................................................180 7.3.1 Generalized Assignment Problem ....................................... 180 7.3.2 Traveling Salesperson Problem............................................ 181 7.3.3 Relevant Literature on Traveling Salesperson Problem..................................................................................... 184 7.3.4 Vehicle Routing Problem....................................................... 185 7.3.5 Relevant Literature on Vehicle Routing Problem ............. 188 7.4 Staff Rostering and Scheduling .........................................................189 7.4.1 Staff Scheduling: A Weekly Problem .................................. 189 7.4.2 Daily Rostering Problem ....................................................... 191 7.4.3 Relevant Literature on General Staff Scheduling .............. 192 7.4.4 Crew Planning=Scheduling Problem................................... 193 7.5 Scheduling and Timetabling Problem..............................................194 7.5.1 School Timetabling Problem................................................. 194 7.5.2 University Timetabling .......................................................... 196 7.5.3 Relevant Literature ................................................................. 197 7.6 Summary ...............................................................................................199 Exercises .........................................................................................................199 References ......................................................................................................201 8 Alternative Modelling ................................................................................205 8.1 Introduction ..........................................................................................205 8.2 Modelling under Different Assumptions ........................................205 8.2.1 A Coal Blending Problem...................................................... 205 8.2.2 First Alternative Blending Model ........................................ 207 8.2.3 Second Alternative Blending Model.................................... 209 viii 8.2.4 Comparing the Two Simple Alternative Models ........... 210 8.2.5 A Crop Planning Problem.................................................. 211 8.2.6 Crop Planning Model 1 ...................................................... 212 8.2.7 Crop Planning Model 2 ...................................................... 213 8.3 Hierarchical Modelling: An Introduction.....................................214 8.3.1 Hierarchical Modelling in a Manufacturing Context .... 215 8.3.2 Aggregate Model ................................................................. 216 8.3.3 Family Scheduling Model .................................................. 217 8.3.4 Individual Item Scheduling Model................................... 218 8.4 Summary ............................................................................................219 References ......................................................................................................220 Section III Model Solving 9 Solution Approaches: An Overview........................................................223 9.1 Introduction .......................................................................................223 9.2 Complexity and Complexity Classes ............................................223 9.2.1 Complexity of Algorithms.................................................. 223 9.2.2 Complexity Classes.............................................................. 224 9.3 Classical Optimization Techniques................................................225 9.3.1 Linear Programming............................................................ 225 9.3.2 Integer Programming: The Curse of Dimensionality ................................................................. 227 9.3.3 Integer Linear Program: Solution Approaches ............... 228 9.3.4 Special Linear Programming Models ............................... 230 9.3.5 Goal Programming............................................................... 230 9.3.6 Nonlinear Programming..................................................... 231 9.3.7 Multi-Objective Models....................................................... 232 9.4 Heuristic Techniques........................................................................233 9.4.1 Hill Climbing ........................................................................ 233 9.4.2 Simulated Annealing ........................................................... 233 9.4.3 Tabu Search........................................................................... 234 9.4.4 Genetic Algorithms.............................................................. 234 9.4.5 Ant Colony Optimization ................................................... 235 9.4.6 Memetic Algorithms ............................................................ 236 9.4.7 Other Heuristics ................................................................... 236 9.5 Optimization Software.....................................................................236 9.5.1 LINGO=LINDO .................................................................... 237 9.5.2 MPL with OptiMax 2000, CPLEX, and XPRESS........................................................................... 237 9.5.3 GAMS..................................................................................... 237 9.5.4 Solver and Premium Solver................................................ 238 9.5.5 Win QSB................................................................................. 238 9.5.6 MINOS ................................................................................... 238 9.6 Summary ............................................................................................239 ix References ....................................................................................................239 Appendix-9A LINGO: An Introduction .................................................241 9A.1 Introduction.....................................................................................241 9A.2 Inputting Model in LINGO...........................................................241 9A.3 Solving the Model...........................................................................243 9A.3.1 Solver Status Window.................................................... 243 9A.3.2 LINGO Special Features ................................................ 244 9A.4 Another Example............................................................................246 9A.4.1 Objective Function .......................................................... 246 9A.4.2 Constraints ....................................................................... 247 9A.4.3 Complete LINGO Model ............................................... 248 9A.4.4 Defining the Sets ............................................................. 249 9A.4.5 Inputting the Data .......................................................... 250 9A.5 LINGO Syntax.................................................................................252 Appendix-9B MPL: An Introduction.......................................................253 9B.1 Introduction .....................................................................................253 9B.2 Use of MPL......................................................................................253 9B.3 Using Vectors and Indexes in MPL.............................................255 9B.4 A Product-Mix Model with Three Variables .............................256 Appendix-9C GAMS: An Introduction...................................................260 9C.1 Introduction.....................................................................................260 9C.2 An Example.....................................................................................260 Appendix-9D Excel Solver: An Introduction .........................................264 9D.1 Introduction.....................................................................................264 9D.2 Solving Linear Programs with Solver .........................................264 9D.2.1 Defining the Target Cell (Objective Function) ........... 266 9D.2.2 Identifying the Changing Cells (Decision Variables) ........................................................ 266 9D.2.3 Adding Constraints ........................................................ 267 9D.2.4 Some Important Options ............................................... 269 9D.2.5 The Solution ..................................................................... 270 Appendix-9E Win QSB: An Introduction ...............................................273 9E.1 Introduction.....................................................................................273 9E.2 Problem Solving with Win QSB...................................................273 9E.3 Reference..........................................................................................275 10 Input Preparation and Model Solving ..................................................277 10.1 Introduction .....................................................................................277 10.2 Data and Data Collection ..............................................................277 10.3 Data Type.........................................................................................279 10.4 Data Preparation .............................................................................280 10.4.1 Data Requirements ......................................................... 282 10.4.2 Data Aggregation............................................................ 283 10.5 Data Preprocessing .........................................................................287 10.6 Model-Driven Data versus Data-Driven Model ........................292 x 10.7 Model Solving .................................................................................292 10.7.1 Excel Solver ....................................................................... 293 10.7.2 LINGO and MPL.............................................................. 295 10.8 Summary .........................................................................................304 Exercises .......................................................................................................304 References.....................................................................................................308 Appendix-10A Additional Problem-Solving Using LINGO ...............309 10A.1 Example 4.6 (Model 4.7) ..............................................................309 10A.1.1 LINGO Code ................................................................ 309 10A.1.2 LINGO Solution ........................................................... 310 10A.2 A Transportation Model ..............................................................310 10A.2.1 LINGO in Algebraic Form ......................................... 311 10A.2.2 LINGO Solution Report.............................................. 311 10A.2.3 LINGO Codes (Alternative)....................................... 312 10A.2.4 LINGO Solution Report (Using Alternative Codes)....................................................... 312 10A.2.5 A Modified Transportation Model ........................... 313 10A.2.6 LINGO Solution Report (with Restricted Path)............................................................................... 314 10A.3 Example 4.14 (Model 4.15) ..........................................................315 10A.3.1 LINGO in Algebraic Form......................................... 315 10A.3.2 LINGO Solution Report ............................................. 316 10A.3.3 LINGO Codes (Alternative Form)............................ 316 10A.3.4 LINGO Solution Report (for Alternative Codes)............................................... 317 10A.4 Example 3.6 (Model 4.1) ..............................................................318 10A.4.1 LINGO in Algebraic Form......................................... 318 10A.4.2 LINGO Model Statistics ............................................. 318 10A.4.3 LINGO Solution........................................................... 318 10A.4.4 LINGO Codes (Alternative Form)............................ 319 10A.4.5 LINGO Solution for Alternative Codes................... 319 10A.5 Example 5.3 (Model 5.2) ..............................................................320 10A.5.1 LINGO Codes .............................................................. 320 10A.5.2 LINGO Solution Report ............................................. 321 10A.5.3 LINGO Alternative Codes ......................................... 321 10A.5.4 LINGO Solution Report (for Alternative Codes)............................................................................ 321 10A.6 Example 5.16..................................................................................322 10A.6.1 LINGO Codes .............................................................. 322 10A.6.2 LINGO Solution Report ............................................. 322 10A.7 Example 4.11 (Model 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EXCEL必备工具箱EXCELtool.rar

EXCEL必备工具箱是一款大部分功能免费且齐全可还能同时支持微软Office Excel和国产的金山WPS Office办公软件的excel插件工具箱，功能类似Kutools for Excel、方方格子、Excel易用宝以及ASAP Utilities这些较为知名的Excel增强插件，该excel办公自动化插件自带免费多标签（类似于OfficeTab）和导航，是拥有多达300项实用功能的excel办公自动化插件组合， EXCEL必备工具箱包含有诸如Excel打开密码破解、阴阳历转换、将选区存储为图片、工作表排序及生成目录、 人工双面打印、汉字转拼音、区域加密、个人所得税、未确认融资费用、按揭贷款/一般贷款利息、各种复利、实际利率法摊销、专业水准的套表数据汇总、穿透查询以及隐藏/取消隐藏工作表、工作表导出为文件等300多个超级实用的Excel相关功能，excel办公自动化插件还额外贴心提供了自动生成分析文档、财务比例计算等模版，帮助用户大大简化了枯燥繁杂的Excel办公操作，工作效率成倍提升 EXCEL必备工具箱安装后即可直接使用，能与excel/wps完美融为一体，并且绝大部分操作执行后可撤销操作，完美支持并智能识别32位/64位的EXCEL或WPS，并向后支持更高版本的WPS Office办公软件 ，还能自动屏蔽WPS已有重复功能，额外增加WPS专用功能，可谓是全能型excel办公自动化工具箱。 EXCEL必备工具箱（超级excel插件工具箱）特色功能简介： 1：可同时在EXCEL/WPS上完美运行，可运行于从Win95到Win10的各个windows版本(32位/64位)、可运行的EXCEL版本：微软Office 2000/2003/2007/2010/2013/2016/2019/365(32/64位)、WPS2016或WPS2019或更高版本。 2：自带多标签和导航功能，EXCEL必备工具箱自带免费多标签（类似于OfficeTab）和导航功能， 安装后就可以使用，与excel/wps完全融为一体，绝大部分操作执行后可撤销。 3：安装方便快捷，下载EXCEL必备工具箱后，按界面提示可以轻松安装，安装后打开EXCEL/WPS，启动Excel或WPS表格程序工具栏中如果多出“工具箱"标签，就表明已经成功安装，以后升级时只需覆盖安装EXCEL必备工具箱，不需要先卸载工具箱旧版本。 4：每个功能都有详尽帮助，在按住Ctrl键的情况下，同时点击EXCEL必备工具箱的任意功能，都会直接打开该功能帮助网页，会详细介绍该功能的用法，并提供动画演示，凡是带窗口界面的EXCEL必备工具箱功能，都会有帮助按钮，点击后也会直接打开该功能帮助网页。 5：查找功能 快捷实用，如果你记不住EXCEL必备工具箱某个功能名称，或者找不到那个功能在哪个菜单下面；再或者你有某项需求，却不知道EXCEL必备工具箱是否有对应功能，请赶紧点击EXCEL必备工具箱主界面上的【查找功能】按钮，可以立即找到你需要的功能，并支持多关键字模糊查找。 由于wps先天不支持插件撤销事项，所以EXCEL必备工具箱的任何操作都不可以撤销，但是在Excel中就可以任意撤销，此外大家还可以通过这款强大的excel插件工具箱对烦人的WPS热点弹窗功能予以彻底屏蔽哦。 EXCEL必备工具箱（excel办公自动化工具箱）各项功能详细介绍： EXCEL必备工具箱：导出图片(图形）功能，将当前文档中的图片批量导出为文件(2021.9.1) EXCEL必备工具箱：统一社会信用代码校验与功能，一键校验统一社会信用代码和获取机构名称 。(2021.7.14) EXCEL必备工具箱：将有从外部引用的公式转换为值，可以标示出那些公式进行了转换。(2021.5.29) EXCEL必备工具箱：添加批注功能，为选定区域批量添加批注。(2021.5.4) EXCEL必备工具箱：统一杂乱数值功能，将五花八门诸如3.85万元,十万8千零二十,八万零二十 的杂乱数值转换成统一的数值格式，还可以用于大写金额转小写(2021.4.22) EXCEL必备工具箱：极速vlookup功能，让不会Vlookup也能按关键字进行查找替换，让几十万条类似vlookup的查找替换也不会卡死(2021.4.5) EXCEL必备工具箱：用*号掩盖字符功能，为保护用户隐私，现在电话号码，身份证号码、银行卡号展示时都需要用*号掩盖几个数字，这个功能可以一键实现，方便快捷(2021.02.13) EXCEL必备工具箱：批量读取控件值功能，本功能将文档中大量的文本框之类的控件值批量读取到所在单元格的里(2021.02.13) EXCEL必备工具箱：数字与汉字互转功能，可以根据需要，将字符串中的1234567890和一二三四五六七八

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EXCEL必备工具箱_V8.20_破解版.zip

EXCEL必备工具箱_V8.20_破解版.zip 绝对可用！请使用时候关闭安全软件，不然会被杀毒软件报警，破解版都这样，非常好用，

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Excel适应的方便工具--方方格子.zip

Excel适应的方便工具，有了它可以不用什么函数。可视性应用，方便实用。

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Excel 方格子插件、DIY工具箱

Excel 方格子插件、DIY工具箱，真正的硬货，使用起来特别的方便。

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EXCEL必备工具箱15.20免费版

EXCEL必备工具箱是一个同时支持EXCEL/WPS插件，安装后就可以使用，与excel/wps完全溶为一体，绝大部分操作执行后可撤销。完美支持32位/64位OFFICE，以及2014年11月抢先版及更高版本的WPS! EXCEL必备工具箱智能识别当前是32/64位的EXCEL还是WPS，自动屏蔽WPS已有功能，额外增加WPS专用功能！ 提供了密码去除、阴阳历转换、将选区存储为图片、工作表排序及生成目录、人工双面打印、专业水准的套表数据汇总、穿透查询等众多实用功能。工作表标签上点击右键还增加了轻松隐藏/取消隐藏工作表、工作表导出为文件功能。针对财务人员，还提供了个人所得税、未确认融资费用、按揭贷款/一般贷款利息、各种复利、实际利率法摊销等计算功能。此外，还提供了自动生成分析文档、财务比例计算等模版，来简化你的日常工作。 已测试的运行环境： Win95/98/Me/2000/NT/XP/Vista/Win7/Win8/Win10 (32位/64位) 可运行的EXCEL版本： EXCEL2007/2010/2013/2016/2019 (32位/64位) 可运行的WPS版本： WPS2016-WPS2019或更高版本 特别说明：在EXCEL2000/2003下使用EXCEL必备工具箱，必须从本人博客下载传统版本，地址：http://blog.sina.com.cn/s/blog_5488e3a90101eiwn.html 当你对某个功能不了解时，按住Ctrl键再单击EXCEL必备工具箱功能可以自动打开帮助网页，指导你正确地操作，从而迅速掌握每个功能。（既可以是在线网页，可以评论和提问；也可以是离线网页，简洁高效！）

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EXCEL必备工具箱

L必备工具箱是一个的EXCEL插件，点击“安装”后就可以使用，绝大部分功能可以免费使用，与excel完全溶为一体。提供了密码去除、阴阳历转换、将选区存储为图片、身份证号码校验、工作表排序及生成目录、人工双面打印、专业水准的套表数据汇总、穿透查询等实用功能。工作表标签上点击右键还增加了轻松隐藏/取消隐藏工作表、工作表导出为文件功能。针对财务人员，还提供了个人所得税、未确认融资费用、按揭贷款/一般贷款利息、各种复利、实际利率法摊销等计算功能。此外，还提供了自动生成分析文档、财务比例计算等模版，来简化你的日常工作。如果你是远光财务软件的用户，还提供了直接提取财务数据的神奇功能，极大地减轻了填表工作量。

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