Programming with Constraints

email10000 2007-12-12 02:54:11

谁有如题这方面（约束编程）的书籍或电子文档？最好是中文版的。

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Take your creations to the next level with FPGAs and VerilogThis fun guide shows how to get started with FPGA technology using the popular Mojo, Papilio One, and Elbert 2 boards. Written by electronics guru Simon Monk, Programming FPGAs: Getting Started with Verilog features clear explanations, easy-to-follow examples, and downloadable sample programs. You’ll get start-to-finish assembly and programming instructions for numerous projects, including an LED decoder, a timer, a tone generator?even a memory-mapped video display! The book serves both as a hobbyists’ guide and as an introduction for professional developers.• Explore the basics of digital electronics and digital logic• Examine the features of the Mojo, Papilio One, and Elbert 2 boards• Set up your computer and dive in to Verilog programming• Work with the ISE Design Suite and user constraints files• Understand and apply modular Verilog programming methods • Generate electrical pulses through your board’s GPIO ports• Control servomotors and create your own sounds• Attach a VGA TV or computer monitor and generate video• All source code and finished bit files available for download,解压密码 share.weimo.info

This is a larger-format version of Elements of Programming Interviews. The language is C++.Specifically, the font size is larger, and the page size is 7"x10" (the regular format uses 6"x9"). The content is identical. The sampler should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our C++ coding style. Solutions include code snippets which are primarily in C++. Programs concerned with concurrency are in Java. Complete programs are available at epibook.github.io. Java versions of the C++ programs in the book can be found at the website. Since different candidates have different time constraints, EPI includes a study guide with several scenarios, ranging from weekend Hackathon to semester long preparation with a recommended a subset of problems for each scenario. All problems are classified in terms of their difficulty level and include many variants to help you apply what you have learned more widely. All problems includes hints for readers who get stuck. This simulates what you will face in the real interview. The version being sold by Amazon itself is always current. Some resellers may have older versions, especially if they sell used copies.

“近年来程序设计领域最好的一本书。”——Larry O’Brien， Software Development Times, July 29, 2015 Using a simple computational task (term frequency) to illustrate different programming styles, Exercises in Programming Style helps readers understand the various ways of writing programs and designing systems. It is designed to be used in conjunction with code provided on an online repository. The book complements and explains the raw code in a way that is accessible to anyone who regularly practices the art of programming. The book can also be used in advanced programming courses in computer science and software engineering programs. The book contains 33 different styles for writing the term frequency task. The styles are grouped into nine categories: historical, basic, function composition, objects and object interactions, reflection and metaprogramming, adversity, data-centric, concurrency, and interactivity. The author verbalizes the constraints in each style and explains the example programs. Each chapter first presents the constraints of the style, next shows an example program, and then gives a detailed explanation of the code. Most chapters also have sections focusing on the use of the style in systems design as well as sections describing the historical context in which the programming style emerged. Cristina Videira Lopes,加州大学欧文分校信息学教授，致力于大规模数据和系统的软件工程研究。她是施乐帕洛阿尔托研究中心的创始成员，还研发并维护着一个搜索引擎，为基于OpenSimulator的虚拟世界提供帮助。

This report forms the user's guide for Version 4.0 of NPSOL, a set of Fortran subroutines designed to minimize a smooth function subject to constraints, which may include simple bounds on the variables, linear constraints and smooth nonlinear constraints. (NPSOL may also be used for unconstrained, bound-constrained and linearly constrained optimization.) The user must provide subroutines that define the objective and constraint functions and (optionally) their gradients. All matrices are treated as dense, and hence NPSOL is not intended for large sparse problems. NPSOL uses a sequential quadratic programming (SQP) algorithm, in which the search direction is the solution of a quadratic programming (QP) subproblem. The algorithm treats bounds, linear constraints and nonlinear constraints separately. The Hessian of each QP subproblem is a positive-definite quasi-Newton approximation to the Hessian of the Lagrangian function. The steplength at each iteration is required to produce a sufficient decrease in an augmented Lagrangian merit function. Each QP subproblcm is solved using a quadratic programming package with several features that improve the efficiency of an SQP

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