نتایج جستجو برای: k step obrechkoffs method

تعداد نتایج: 2147334  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بوعلی سینا - دانشکده علوم پایه 1391

abstract: in this thesis, we focus to class of convex optimization problem whose objective function is given as a linear function and a convex function of a linear transformation of the decision variables and whose feasible region is a polytope. we show that there exists an optimal solution to this class of problems on a face of the constraint polytope of feasible region. based on this, we dev...

بایسته تاشک, الهام , احمدی فرد, علیرضا, خسروی, حسین ,

This paper presented a two step method for offline handwritten Farsi word recognition. In first step, in order to improve the recognition accuracy and speed, an algorithm proposed for initial eliminating lexicon entries unlikely to match the input image. For lexicon reduction, the words of lexicon are clustered using ISOCLUS and Hierarchal clustering algorithm. Clustering is based on the featur...

Journal: :CoRR 2010
Aaron R. Bradley

We introduce a new form of SAT-based symbolic model checking. One common idea in SAT-based symbolic model checking is to generate new clauses from states that can lead to property violations. Our previous work suggests applying induction to generalize from such states. While effective on some benchmarks, the main problem with inductive generalization is that not all such states can be inductive...

2010
MARTIN H. GUTKNECHT Lothar Reichel

Abstract. In the mid-1980s B.N. Parsons [29] and the author [10] independently had the idea to generalize linear stationary k-step methods to stationary (k, l)-step methods, which were further generalized to nonstationary and even nonlinear (k, l)-step methods. Later, conjugate-gradient-type methods that are (k, l)-step methods of a similar sort were introduced and investigated in the PhD thesi...

2009
Rosalina Abdul Salam

Image segmentation based on an adaptive K-means clustering algorithm is presented. The proposed method tries to develop K-means algorithm to obtain high performance and efficiency. This method proposes initialization step in K-means algorithm. In addition, it solves a model selection number by determining the number of clusters using datasets from images by frame size and the absolute value bet...

Journal: :Journal of Universal Computer Science 2021

Software is an integration of numerous programming modules  (e.g., functions, procedures, legacy system, reusable components, etc.) tested and combined to build the entire module. However, some undesired faults may occur due a change in modules while performing validation verification. Retesting software costly affair terms money time. Therefore, avoid retesting of entire&...

Journal: :Math. Log. Q. 2003
Kosta Dosen Zoran Petric

Split preorders are preordering relations on a domain whose composition is defined in a particular way by splitting the domain into two disjoint subsets. These relations and the associated composition arise in categorial proof theory in connection with coherence theorems. Here split preorders are represented isomorphically in the category whose arrows are binary relations, where composition is ...

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