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Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77
Introduction to Programming with Fortran - with coverage of Fortran 90, 95, 2003 and 77
MATLAB - Modelling, Programming and Simulations
-MATLAB: Modelling, Programming and Simulations- ed. by Emilson Pereira Leite (Repost)
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77 [Repost]
An Introduction to Programming and Numerical Methods in MATLAB [Repost]
"MATLAB: Modelling, Programming and Simulations" ed. by Emilson Pereira Leite (Repost)
Programming Social Applications: Building Viral Experiences with OpenSocial, OAuth, OpenID, and Distributed Web... (repost)
MATLAB Programming for Engineers (2nd edition) [Repost]
Sriranga Veeraraghavan, "Sams Teach Yourself Shell Programming in 24 Hours" (Repost)
Programming Computer Vision with Python - Tools and algorithms for analyzing images
Matlab: A Practical Introduction to Programming and Problem Solving (2nd edition) [Repost]
ECOOP 2011 - Object-Oriented Programming
Mobile JavaScript Application Development - Bringing Web Programming to Mobile Devices [Paperback]
Concurrent Programming on Windows (repost)
Expert WSS 3.0 and MOSS 2007 Programming (repost)
Embedded Software Design and Programming of Multiprocessor System-on-Chip (repost)
OpenCV 2 Computer Vision Application Programming Cookbook
Programming Computer Vision with Python: Tools and algorithms for analyzing images
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Server-Side Programming Techniques (Java(TM) Performance and Scalability, Volume 1)
Posted on 2010-03-15
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More Publisher: Addison-Wesley Professional; 1st edition Language: English ISBN: 0201704293 Paperback: 320 pages Data: June 05, 2000 Format: CHM Description: This book was written with one goal in mind: to provide Java programmers with the expertise needed to build efficient, scalable Java code. The author shares his experience in server-side performance tuning through measured performance assessments, called optimizations. Each optimization discusses techniques to improve the performance and scalability of your code. Every claim is substantiated with hard numbers and an experience-based evaluation. Java(TM) Performance and Scalability, Volume 1, provides invaluable advice that you will, no doubt, find useful in your coding. Presented in 48 concise lessons that target the most common and critical performance pitfalls, this book offers a plethora of practical tips and solutions for boosting the performance of your programs. These lessons cover performance-critical areas such as memory management, garbage collection, caching, and multithreading. Specific lessons include: * Reserving StringBuffer capacity * Avoiding premature object creation * Creating an efficient vector class * Designing caching into your API * The cost of synchronization * Parallel subtasks * JNI efficiency * Varying the server workload and RMI network plumbing * Using ServletOutputStream Caching JDBC connections In addition to providing hard numbers that quantify the optimizations, the author concludes the book with an application demonstrating the effectiveness of the performance optimizations. The exercise takes a typical program and increases its performance fourfold through a series of steps that tie together the lessons learned throughout the book. He offers both the means and the proof to better coding. - (1 Mb)
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