An Introduction to Programming with Mathematica® is designed to introduce the Mathematica programming language to a wide audience. Since the last edition of this book was published, significant changes have occurred in Mathematica and its use worldwide. Keeping pace with these changes, this substantially larger, updated version includes new and revised chapters on numerics, procedural, rule-based, and front-end programming, and gives significant coverage to the latest features up to, and including, Mathematica 5.1 Mathematica notebooks, available from www.cambridge.org/0521846781, contain examples, programs, and solutions to exercises in the book. Additionally, material to supplement later versions of the software will be made available. This is the ideal text for all scientific students, researchers, and programmers wishing to deepen their understanding of Mathematica, or even those keen to program using an interactive language that contains programming paradigms from all major programming languages: procedural, functional, recursive, rule-based, and object-oriented.

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Review
…very clearly written and superbly presented — Pablo Inchausti, The Quarterly Review of Biology –This text refers to an out of print or unavailable edition of this title.

Review
‘Everything about Mathematica and the way it has been developed is impressive … it is the most comprehensive maths package available today that covers both numeric and symbolic computation. Mathematica 3.0 is simply the new standard of excellence.’ Mike James, Scientific Computing World

‘I recommend this text to all Mathematica users.’ Mike Denham, Computers and Chemistry

‘What Mathematica has done is to usher in a new era of fully commercialized technical software.’ Karyll Lake, Physics World

‘This is a superb text which is an absolute must for anyone who uses Mathematica 3.0.’ Assembly Automation –This text refers to an out of print or unavailable edition of this title.

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Windows Developer Power Tools

Product Description
Software developers need to work harder and harder to bring value to their development process in order to build high quality applications and remain competitive. Developers can accomplish this by improving their productivity, quickly solving problems, and writing better code.

A wealth of open source and free software tools are available for developers who want to improve the way they create, build, deploy, and use software. Tools, components, and frameworks exist to help developers at every point in the development process. Windows Developer Power Tools offers an encyclopedic guide to more than 170 of these free tools to help developers build top-notch Windows software from desktop applications to web services.

To help you choose the right tools for solving both common and uncommon problems you face each day, this book follows a unique task-oriented organization, laying out topics in the same order that you and your team are likely to encounter them as you work on a project. Each tool entry features a solid introduction — a mini user’s guide — so you can get up to speed quickly and understand how to best use the tool in your environment. Inside, you’ll find:

• A guide to more than 170 tools covering 24 unique aspects of Windows and .NET software development, with many descriptions contributed by the tools’ authors
• Descriptions of freely available ASP.NET and Windows Forms controls, object relational mapping systems, testing frameworks, and build and continuous integration tools
• Articles on tools to help developers troubleshoot misbehaving applications
• Guides for utilities to boost productivity in the development environment as well as speeding up tasks in Windows itself
• “Quick pick” lists at the start of each chapter to help you find and choose the right tool for your task
• “At a Glance” and “In a Nutshell” summaries to help readers more quickly narrow their options
• References to an online book site to keep you up-to-date with new releases and features
• Forewords by Mike Gunderloy (Larkware) and Scott Hanselman (http://www.hanselman.com/tools), operators of the two most popular tools sites for Microsoft developers.

Also, plenty of links in each article point you to additional detail online if you wish to delve more deeply into features and functionality. This one-stop resource covers a wide range of open source and freeware tools to help you answer questions around planning, developing, testing, and rolling out great software. Best of all, they’re free.

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Information, Physics, and Computation

Product Description
This book presents a unified approach to a rich and rapidly evolving research domain at the interface between statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. It is accessible to graduate students and researchers without a specific training in any of these fields. The selected topics include spin glasses, error correcting codes, satisfiability, and are central to each field. The approach focuses on large random instances, adopting a common probabilistic formulation in terms of graphical models. It presents message passing algorithms like belief propagation and survey propagation, and their use in decoding and constraint satisfaction solving. It also explains analysis techniques like density evolution and the cavity method, and uses them to study phase transitions.

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Computational Modeling and Complexity Science

This book is about data structures and algorithms, intermediate programming in Python, complexity science and the philosophy of science. This book picks up where Think Python leaves off. I assume that you have read that book or have equivalent knowledge of Python.

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Optimization and Control with Applications

Product Description
This book contains refereed papers which were presented at the 34th Workshop of the International School of Mathematics “G. Stampacchia,” the International Workshop on Optimization and Control with Applications. The book contains 28 papers that are grouped according to four broad topics: duality and optimality conditions, optimization algorithms, optimal control, and variational inequality and equilibrium problems. The specific topics covered in the individual chapters include optimal control, unconstrained and constrained optimization, complementarity and variational inequalities, equilibrium problems, semi-definite programs, semi-infinite programs, matrix functions and equations, nonsmooth optimization, generalized convexity and generalized monotinicity, and their applications.

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679 pages | 2009 | PDF | 25 Mb

Book Description:

* Compiles all the rules of thumb and referenced facts to provide a convenient, one-stop resource for builders and architects
* Updated to include new cost information and coverage of the latest International Building and NFPA (National Fire Protection Association) Codes

Product Description
While much has been written about strategic information systems planning, the integration of strategic planning with portfolio management has been ignored, leaving the potential benefits of their combined approach to planning yet to be explored. Strategic Information Technology and Portfolio Management bridges the knowledge between information technology planning, enterprise architecture, and IT portfolio management taking into account their financial impact. Intended for IT professionals, researchers, and academicians, this book provides techniques and tools appropriate for building application portfolios and developing strategies which increase financial performance.

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