Student’s Essential Guide to .NET

The Student’s Essential Guide to .NET provides a clear and simple overview of Microsoft’s .NET technologies. It is aimed at second and third year undergraduate students and postgraduate students on Computing or Computer Science courses who are required to look at a modern operating system, (Microsoft Windows 9x, Nt 2000 or XP) and to design and code simple or even not so simple examples. The approach is based upon the student’s learning the technology of .NET through examples using the supported languages C#, VB and C++. The examples are based on fun, familiar games, and students are encouraged to review reference material to refine their skills on key aspects of the architecture. Review questions and worked examples enhance the learning process and the material is supported by the author’s website, which contains extensive ancillary material.

• Student-focused treatment with many examples and exercises, together with solutions
  
• Integrates the use of .NET with the supported languages C#, VB and C++
  
• Authors supporting website contains solutions, source code and other extras

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C++ GUI Programming with Qt 4

• Paperback: 560 pages
• Publisher: Prentice Hall PTR; Pap/Cdr edition (June 26, 2006)
• Language: English
• ISBN-10: 0131872494

The Only Official Best-Practice Guide to Qt 4.1 Programming

Using Trolltech’s Qt you can build industrial-strength C++ applications that run natively on Windows, Linux/Unix, Mac OS X, and embedded Linux–without making source code changes. With this book Trolltech insiders have written a start-to-finish guide to getting great results with the most powerful version of Qt ever created: Qt 4.1.

Using C++ GUI Programming with Qt 4 you’ll discover the most effective Qt 4 programming patterns and techniques as you master key technologies ranging from Qt’s model/view architecture to Qt’s powerful new 2D paint engine. The authors provide readers with unparalleled insight into Qt’s event model and layout system. Then, using realistic examples, they introduce superior techniques for everything from basic GUI development to advanced database and XML integration.

• Includes new chapters on Qt 4’s model/view architecture and Qt’s new plugin support, along with a brief introduction to Qtopia embedded programming

• Covers all Qt fundamentals, from dialogs and windows to implementing application functionality

• Introduces best practices for layout management and event processing

• Shows how to make the most of Qt 4’s new APIs, including the powerful new 2D paint engine and the new easy-to-use container classes

• Contains completely updated material in every chapter

• Presents advanced Qt 4 techniques covered in no other book, from creating both Qt and application plugins to interfacing with native APIs

• Contains an in-depth appendix on C++/Qt programming for experienced Java developers

The accompanying CD-ROM includes the open source edition of Qt 4.1.1 for Windows, Mac, Linux, and many Unixes, as well as MinGW, a set of freely available development tools that can be used to build Qt applications on Windows, and also the source code for the book’s examples.

About the Author
Jasmin Blanchette, Trolltech’s documentation manager and a senior developer, has worked at Trolltech since 2001. He is editor of Qt Quarterly, Trolltech’s technical newsletter, and coauthored C++ GUI Programming with Qt 3.

Mark Summerfield works as an independent trainer and consultant specializing in C++, Qt, and Python. He was Trolltech’s documentation manager for almost three years and coauthored C++ GUI Programming with Qt 3.

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Financial Instrument Pricing Using C++

• Hardcover: 432 pages
• Publisher: Wiley; Har/Com edition (August 27, 2004)
• Language: English
• ISBN-10: 0470855096

One of the best languages for the development of financial engineering and instrument pricing applications is C++. This book has several features that allow developers to write robust, flexible and extensible software systems. The book is an ANSI/ISO standard, fully object-oriented and interfaces with many third-party applications. It has support for templates and generic programming, massive reusability using templates (‘write once) and support for legacy C applications.

In this book, author Daniel J. Duffy brings C++ to the next level by applying it to the design and implementation of classes, libraries and applications for option and derivative pricing models. He employs modern software engineering techniques to produce industrial-strength applications:

• Using the Standard Template Library (STL) in finance
• Creating your own template classes and functions
• Reusable data structures for vectors, matrices and tensors
• Classes for numerical analysis (numerical linear algebra …)
• Solving the Black Scholes equations, exact and approximate solutions
• Implementing the Finite Difference Method in C++
• Integration with the ‘Gang of Four Design Patterns
• Interfacing with Excel (output and Add-Ins)
• Financial engineering and XML
• Cash flow and yield curves

Included with the book is a CD containing the source code in the Datasim Financial Toolkit. You can use this to get up to speed with your C++ applications by reusing existing classes and libraries.

‘Unique… Let’s all give a warm welcome to modern pricing tools.’
– Paul Wilmott, mathematician, author and fund manager

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Financial Applications using Excel Add-in Development in C/C++

• Hardcover: 584 pages
• Publisher: Wiley; 2Rev Ed edition (September 24, 2007)
• Language: English
• ISBN-10: 0470027975

Financial Applications using Excel Add-in Development in C/C++ is a must-buy book for any serious Excel developer.Excel is the industry standard for financial modelling, providing a number of ways for users to extend the functionality of their own add-ins, including VBA and C/C++. This is the only complete how-to guide and reference book for the creation of high performance add-ins for Excel in C and C++ for users in the finance industry. Steve Dalton explains how to apply Excel add-ins to financial applications with many examples given throughout the book. It also covers the relative strengths and weaknesses of developing add-ins for Excel in VBA versus C/C++, and provides comprehensive code, workbooks and example projects on the accompanying CD-ROM. The impact of Excel 2007’s multi-threaded workbook calculations and large grids on add-in development are fully explored. Financial Applications using Excel Add-in Development in C/C++ features:

• Extensive example codes in VBA, C and C++, explaining all the ways in which a developer can achieve their objectives.
• Example projects that demonstrate, from start to finish, the potential of Excel when powerful add-ins can be easily developed.
• Develops the readers understanding of the relative strengths and weaknesses of developing add-ins for Excel in VBA versus C/C++.
• A CD-ROM with several thousand lines of example code, numerous workbooks, and a number of complete example projects.

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Structured Finance Modeling with Object-Oriented VBA

• Hardcover: 352 pages
• Publisher: Wiley (May 25, 2007)
• Language: English
• ISBN-10: 0470098597

A detailed look at how object-oriented VBA should be used to model complex financial structures

This guide helps readers overcome the difficult task of modeling complex financial structures and bridges the gap between professional C++/Java programmers writing production models and front-office analysts building Excel spreadsheet models. It reveals how to model financial structures using object-oriented VBA in an Excel environment, allowing desk-based analysts to quickly produce flexible and robust models. Filled with in-depth insight and expert advice, it skillfully illustrates the art of object-oriented programming for the explicit purpose of modeling structured products. Residential mortgage securitization is used as a unifying example throughout the text.

From the Inside Flap

Structured finance is a core activity of Wall Street firms, and securitization techniques are being used to model, create, and issue a large range of structured financial products. Modeling these securities requires that analysts have a firm understanding of some sophisticated modeling techniques—yet many analysts have neither the time nor the background to exploit the full power of C++ or more advanced programming languages. While they may be Excel experts, they often hit the “complexity wall” in Excel spreadsheets when modeling real financial structures. This book can help break through that wall, offering Wall Street professionals a practical guide to help overcome such challenges.

Modeling is essentially abstraction and simplification while producing an accurate estimate of some aspect of a complex system. Whether the system is physical or financial, the attributes of a good model remain the same, and of the many financial engineering innovations developed over the past several years of feverish ABS (asset-backed securities) growth, the cash flow securitization model is key. In general, this model has three components: loss generation, collateral cash flow generation, and bond cash flow generation. But be it a vanilla securitization or a CDO (collateralized debt obligation) of CDOs; be it supported by mortgages, loans, or bonds; or be it cash or synthetic, the valuation model is essential in understanding the economics of the trade.

Structured Finance Modeling with Object-Oriented VBA introduces this model and its implementation, providing illustrations of the model in action for actual deals, along with empirical studies of its sensitivities. Using sub-prime mortgage securitization throughout the book as a unifying example, it provides a detailed look at how object-oriented Visual Basic for Applications (VBA) can be used to price complex financial structures.

Along with securitization, this book covers stochastic models, optimization techniques, object-oriented architecture, and more. Wall Street analysts and MBA students mastering object-oriented VBA programming skills are in great demand on Wall Street, and a step ahead of those without these skills. This invaluable guide provides both the mathematical specifications and programming techniques needed to perform modeling tasks efficiently and effectively—and keep ahead of the competition.

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