骑行的咖啡豆

The General Algebraic Modeling System (GAMS) is a high-level modeling system for mathematical programming and optimization. It consists of a language compiler and a stable of integrated high-performance solvers. GAMS is tailored for complex, large scale modeling applications, and allows you to build large maintainable models that can be adapted quickly to new situations. 23.9.2破解。

org.geotools org.geotools.arcsde org.geotools.arcsde.data org.geotools.arcsde.data.versioning org.geotools.arcsde.data.view org.geotools.arcsde.filter org.geotools.arcsde.gce org.geotools.arcsde.gce.band org.geotools.arcsde.gce.imageio org.geotools.arcsde.gce.producer org.geotools.arcsde.pool org.geotools.axis org.geotools.brewer.color org.geotools.coverage org.geotools.coverage.grid org.geotools.coverage.grid.io org.geotools.coverage.grid.io.imageio org.geotools.coverage.io org.geotools.coverage.processing org.geotools.coverage.processing.operation org.geotools.data org.geotools.data.collection org.geotools.data.crs org.geotools.data.db2 org.geotools.data.db2.filter org.geotools.data.dir org.geotools.data.gml org.geotools.data.gpx org.geotools.data.gpx.temporal org.geotools.data.h2 org.geotools.data.jdbc org.geotools.data.jdbc.attributeio org.geotools.data.jdbc.datasource org.geotools.data.jdbc.fidmapper org.geotools.data.jdbc.referencing org.geotools.data.memory org.geotools.data.mif 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org.geotools.renderer.shape org.geotools.renderer.shape.shapehandler.jts org.geotools.renderer.shape.shapehandler.simple org.geotools.renderer.style org.geotools.repository org.geotools.repository.adaptable org.geotools.repository.defaults org.geotools.repository.postgis org.geotools.repository.property org.geotools.repository.shapefile org.geotools.repository.styling org.geotools.repository.wfs org.geotools.repository.wms org.geotools.sld org.geotools.sld.bindings org.geotools.styling org.geotools.styling.visitor org.geotools.svg org.geotools.test org.geotools.text org.geotools.text.filter org.geotools.util org.geotools.util.logging org.geotools.utils org.geotools.utils.coveragetiler org.geotools.utils.imagemosaic org.geotools.utils.imageoverviews org.geotools.utils.imagepyramid org.geotools.utils.progress org.geotools.validation org.geotools.validation.attributes org.geotools.validation.dto org.geotools.validation.network org.geotools.validation.relate org.geotools.validation.spatial 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dom4j帮助文档 官方API All Classes Packages org.dom4j org.dom4j.bean org.dom4j.datatype org.dom4j.dom org.dom4j.dtd org.dom4j.io org.dom4j.jaxb org.dom4j.rule org.dom4j.rule.pattern org.dom4j.swing org.dom4j.tree org.dom4j.util org.dom4j.xpath org.dom4j.xpp

Hibernate 官方java api 文档，我做成chm的，便于使用

grass 6.0 reference 中文文档，做成chm格式的文档。 里面讲了很多的GIS知识。对GIS学习有帮助。

dwr 2.0 的java帮助文档 英文版的。我把它做成chm的，便于您阅读。

This book is about a set of oddly named UNIX utilities, sed and awk. These utilities have many things in common, including the use of regular expressions for pattern matching. Since pattern matching is such an important part of their use, this book explains UNIX regular expression syntax very thoroughly. Because there is a natural progression in learning from grep to sed to awk, we will be covering all three programs, although the focus is on sed and awk. Sed and awk are tools used by users, programmers, and system administrators - anyone working with text files. Sed, so called because it is a stream editor, is perfect for applying a series of edits to a number of files. Awk, named after its developers Aho, Weinberger, and Kernighan, is a programming language that permits easy manipulation of structured data and the generation of formatted reports. This book emphasizes the POSIX definition of awk. In addition, the book briefly describes the original version of awk, before discussing three freely available versions of awk and two commercial ones, all of which implement POSIX awk. The focus of this book is on writing scripts for sed and awk that quickly solve an assortment of problems for the user. Many of these scripts could be called "quick-fixes." In addition, we'll cover scripts that solve larger problems that require more careful design and development. Scope of This Handbook Chapter 1, Power Tools for Editing, is an overview of the features and capabilities of sed and awk. Chapter 2, Understanding Basic Operations, demonstrates the basic operations of sed and awk, showing a progression in functionality from sed to awk. Both share a similar command-line syntax, accepting user instructions in the form of a script. Chapter 3, Understanding Regular Expression Syntax, describes UNIX regular expression syntax in full detail. New users are often intimidated by these strange expressions, used for pattern matching. It is important to master regular expression syntax to get the most from sed and awk. The pattern-matching examples in this chapter largely rely on grep and egrep. Chapter 4, Writing sed Scripts, begins a three-chapter section on sed. This chapter covers the basic elements of writing a sed script using only a few sed commands. It also presents a shell script that simplifies invoking sed scripts. Chapter 5, Basic sed Commands, and Chapter 6, Advanced sed Commands, divide the sed command set into basic and advanced commands. The basic commands are commands that parallel manual editing actions, while the advanced commands introduce simple programming capabilities. Among the advanced commands are those that manipulate the hold space, a set-aside temporary buffer. Chapter 7, Writing Scripts for awk, begins a five-chapter section on awk. This chapter presents the primary features of this scripting language. A number of scripts are explained, including one that modifies the output of the ls command. Chapter 8, Conditionals, Loops, and Arrays, describes how to use common programming constructs such as conditionals, loops, and arrays. Chapter 9, Functions, describes how to use awk's built-in functions as well as how to write user-defined functions. Chapter 10, The Bottom Drawer, covers a set of miscellaneous awk topics. It describes how to execute UNIX commands from an awk script and how to direct output to files and pipes. It then offers some (meager) advice on debugging awk scripts. Chapter 11, A Flock of awks, describes the original V7 version of awk, the current Bell Labs awk, GNU awk (gawk) from the Free Software Foundation, and mawk, by Michael Brennan. The latter three all have freely available source code. This chapter also describes two commercial implementations, MKS awk and Thomson Automation awk (tawk), as well as VSAwk, which brings awk-like capabilities to the Visual Basic environment. Chapter 12, Full-Featured Applications, presents two longer, more complex awk scripts that together demonstrate nearly all the features of the language. The first script is an interactive spelling checker. The second script processes and formats the index for a book or a master index for a set of books. Chapter 13, A Miscellany of Scripts, presents a number of user-contributed scripts that show different styles and techniques of writing scripts for sed and awk. Appendix A, Quick Reference for sed, is a quick reference describing sed's commands and command-line options. Appendix B, Quick Reference for awk, is a quick reference to awk's command-line options and a full description of its scripting language. Appendix C, Supplement for Chapter 12, presents the full listings for the spellcheck.awk script and the masterindex shell script described in Chapter 12.

The Java Virtual Machine Specification

精通正则表达式英文版, 挺不错的书。。。。。。。。。。。