The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill- conditioned problems, such as fitting polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back-substitution routine BKSUB2 which it calls, the routines behave as in AS 274.
标签： least-squares unconstrained Statisti Applied
上传时间： 2015-05-14
上传用户：aig85
it contains many classic Test Problems for unconstrained Optimization such as camel6,treccani,goldstein,branin, shubert1,Ackley,dejong,dejong1,dejong2, dpower,rastrigin,Griewangk,Schwefel, rosenbrock2 and step. the package have the contour and mesh figures of these problem. it also give m files of these problems,and you can easily get your view of figures.
标签： unconstrained Optimization contains Problems
上传时间： 2015-09-17
上传用户：bcjtao
The software package provides a MAX-MIN Ant System implemented in the Hyper-Cube Framework for the application to unconstrained Binary Quadratic Programming (UBQP).
标签： implemented Hyper-Cube Framework the
上传时间： 2015-05-13
上传用户：cooran
the book provides many solved examples that illustrate the principles involved, and includes, in addition, two chapters that deal exclusively with applications of unconstrained and constrained optimization methods to problems in the areas of pattern recognition, control systems, robotics, communication systems, and the design of digital filters. For each application, enough background information is provided to promote the understanding of the optimization algorithms used to obtain the desired solutions.
标签： illustrate principles the provides
上传时间： 2014-01-20
上传用户：woshiayin
Short description: A MAX-MIN Ant System (MMAS) implemented in the Hyper-Cube Framework for the application to unconstrained Binary Quadratic Programming (UBQP). Aim of the software: Educational (not high-performance) it shows how to implement a MMAS in the Hyper-Cube Framework.
标签： description implemented Hyper-Cube Framework
上传时间： 2014-11-26
上传用户：蠢蠢66
