The overwhelming majority of bugs and crashes in computer programming stem from problems of memory access, allocation, or deallocation. Such memory related errors are also notoriously difficult to debug. Yet the role that memory plays in C and C++ programming is a subject often overlooked in courses and in books because it requires specialised knowledge of operating systems, compilers, computer architecture in addition to a familiarity with the languages themselves. Most professional programmers learn entirely through experience of the trouble it causes. This 2004 book provides students and professional programmers with a concise yet comprehensive view of the role memory plays in all aspects of programming and program behaviour. Assuming only a basic familiarity with C or C++, the author describes the techniques, methods, and tools available to deal with the problems related to memory and its effective use.
A Guide to Programming in Java Third Edition emphasizes the development of good problem-solving and programming skills in a clear easy-to-understand format. The textbook is written for a variety of Java compilers. It is also written for different student learning styles and effectively uses screen shots of source code generated output and finished projects to strengthen understanding.
Dynamic programming has long been applied to numerous areas in mat- matics, science, engineering, business, medicine, information systems, b- mathematics, arti?cial intelligence, among others. Applications of dynamic programming have increased as recent advances have been made in areas such as neural networks, data mining, soft computing, and other areas of com- tational intelligence. The value of dynamic programming formulations and means to obtain their computational solutions has never been greater. This book describes the use of dynamic programming as a computational tool to solve discrete optimization problems. (1) We ?rst formulate large classes of discrete optimization problems in dynamic programming terms, speci?cally by deriving the dynamic progr- ming functional equations (DPFEs) that solve these problems. A text-based language, gDPS, for expressing these DPFEs is introduced. gDPS may be regarded as a high-level speci?cation language, not a conventional procedural computer programming language, but which can be used to obtain numerical solutions. (2)Wethende?neandexaminepropertiesofBellmannets, aclassofPetri nets that serves both as a formal theoretical model of dynamic programming problems, and as an internal computer data structure representation of the DPFEs that solve these problems. (3)Wealsodescribethedesign, implementation, anduseofasoftwaretool, calledDP2PN2Solver, for solving DPFEs. DP2PN2Solver may be regarded as a program generator, whose input is a DPFE, expressed in the input spec- cation language gDPS and internally represented as a Bellman net, and whose output is its numerical solution that is produced indirectly by the generation of solver code, which when executed yields the desired solution."
A road map for service-learning partnerships between information science and nonprofit organizations
While service-learning is a well-known educational method for integrating learning experiences with community service, it is only now beginning to emerge in computer and information sciences (CIS). Offering a truly global perspective, this book introduces for the first time an essential framework for service learning in CIS, addressing both the challenges and opportunities of this approach for all stakeholders involved-faculty, students, and community nonprofit organizations (NPOs), both domestic and abroad.
Service-Learning in the Computer and Information Sciences outlines numerous examples of successful programs from around the world, presenting practical working models for implementing joint projects between NPOs and academia. It provides faculty members with vital insight into how to coordinate projects with a community partner, arms students with real-world problem-solving skills specific to issues faced by NPOs, and gives NPOs the expertise to leverage information technology to improve the overall value of their services. This book:
Constraint and Integer Programming presents some of the basic ideas of constraint programming and mathematical programming, explores approaches to integration, brings us up to date on heuristic methods, and attempts to discern future directions in this fast-moving field.
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