Direct multiplicative methods for sparse matrices. Quadratic programming

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multiplicative Updates for Nonnegative Quadratic Programming

Many problems in neural computation and statistical learning involve optimizations with nonnegativity constraints. In this article, we study convex problems in quadratic programming where the optimization is confined to an axis-aligned region in the nonnegative orthant. For these problems, we derive multiplicative updates that improve the value of the objective function at each iteration and co...

متن کامل

Direct Solvers for Sparse Matrices

There is a vast variety of algorithms associated with each step. The review papers by Duff [16] (see also [15, Chapter 6]) and Heath et al. [27] can serve as excellent reference of various algorithms. Usually steps 1 and 2 involve only the graphs of the matrices, and hence only integer operations. Steps 3 and 4 involve floating-point operations. Step 3 is usually the most time-consuming part, w...

متن کامل

A Quadratic Programming Method for Ranking Alternatives Based on Multiplicative and Fuzzy Preference Relations

This paper proposes a quadratic programming method (QPM) for ranking alternatives based on multiplicative preference relations (MPRs) and fuzzy preference relations (FPRs). The proposed QPM can be used for deriving a ranking from either a MPR or a FPR, or a group of MPRs, or a group of FPRs, or their mixtures. The proposed approach is tested and examined with two numerical examples, and compara...

متن کامل

Quadratic programming for learning sparse codes

Building on a framework by Daugmann [2] and Pece [9], Harpur and Prager [4, 5, 6] constructed a neural network, which they termed the REC model, capable of discovering sparsely distributed representations by using the principle of redundancy reduction. Olshausen and Field [7, 8] employed a similar technique for efficient coding of natural images and showed how the resulting response functions o...

متن کامل

Direct linear time solvers for sparse matrices

In the last couple of years it has been realized that Gaussian elimination for sparse matrices arising from certain elliptic PDEs can be done in O(n log(1/ )) flops, where n is the number of unknowns and is a user-specified tolerance [Chandrasekaran and Gu]. The resulting solver will also be backward stable with an error of O( ). The techniques used to achieve this speedup has some commonality ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Computer Research and Modeling

سال: 2018

ISSN: 2076-7633,2077-6853

DOI: 10.20537/2076-7633-2018-10-4-407-420