Polynomial fit functions
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RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.
In today’s IT environment, Java is a leading technology in the world of enterprise
development. As management demands more from technology, complexity
in infrastructure seems to grow exponentially, leaving many unable to
keep up with the demands of such a fast-paced world. These complexities
can be seen in the over-evolving Java 2 Enterprise Edition (J2EE) specifications.
This unnecessary complexity drove us to discover ways of simplifying
development.
ACE網絡編程，英文版，主要講解網絡設計模式的，兩卷
C++ Network Programming_1_Mastering complexity With ACE_and_Patterns.chm
C++ Network Programming_2_Systematic Reuse With ACE_And_Frameworks.chm
windows開源代碼
Microsoft Windows is a complex operating system. It offers so many features and does so much that it s impossible for any one person to fully understand the entire system. This complexity also makes it difficult for someone to decide where to start concentrating the learning effort. Well, I always like to start at the lowest level by gaining a solid
As the Hardware Description Language (HDL) enhancement activities have increased over the past year, so too has the complexity in determining which language(s) are the best tools for designers and organizations to continue using or to adopt. Many designers and organizations are contemplating whether they should switch from one HDL to another.
As the Hardware Description Language (HDL) enhancement activities have increased over the past year, so too has the complexity in determining which language(s) are the best tools for designers and organizations to continue using or to adopt. Many designers and organizations are contemplating whether they should switch from one HDL to another.
C++, although a marvelous language, isn t perfect. Matthew Wilson has been working with it for over a decade, and during that time he has found inherent limitations that require skillful workarounds. In this book, he doesn t just tell you what s wrong with C++, but offers practical techniques and tools for writing code that s more robust, flexible, efficient, and maintainable. He shows you how to tame C++ s complexity, cut through its vast array of paradigms, take back control over your code--and get far better results
This my phd thesis for the WDM optical network optimization, which employs convex optimization techniques to solve the proposed integer problems. The computation complexity of my optimization framework is very low compared with other existing method and a performance bound is provided at the same time.
In recent years large scientific interest has been
devoted to joint data decoding and parameter estimation
techniques. In this paper, iterative turbo decoding joint
to channel frequency and phase estimation is proposed.
The phase and frequency estimator is embedded into the
structure of the turbo decoder itself, taking into consideration
both turbo interleaving and puncturing. Results
show that the proposed technique outperforms conventional
approaches both in terms of detection capabilities and
implementation complexity.
Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle
Filters (PFs) that exploit conditional dependencies between
parts of the state to estimate. By doing so, RBPFs can
improve the estimation quality while also reducing the overall
computational load in comparison to original PFs. However,
the computational complexity is still too high for many
real-time applications. In this paper, we propose a modified
RBPF that requires a single Kalman Filter (KF) iteration per
input sample. Comparative experiments show that while good
convergence can still be obtained, computational efficiency is
always drastically increased, making this algorithm an option
to consider for real-time implementations.
