Basics of algorithms

Bài giảng Tin học cơ sở (Basics of Informatics) - Chương 8: Giải thuật (Algorithms). Những nội dung được trình bày trong chương này gồm có: Phương pháp giải quyết vấn đề bằng máy tính; dữ liệu, giải thuật và chương trình; giải thuật; các cách diễn đạt giải thuật; một số giải thuật cơ bản. Mời các bạn cùng tham khảo!

18p runthenight09 15-05-2023 13 3   Download

Bài giảng Tin học cơ sở (Basics of Informatics) - Chương 8 trình bày những nội dung: Phương pháp giải quyết vấn đề bằng máy tính; dữ liệu, giải thuật và chương trình; giải thuật; các cách diễn đạt giải thuật; một số giải thuật cơ bản.

18p tradaviahe13 06-01-2021 23 3   Download

According to the theoretical and practical base on development of algorithmic thinking for learners, if during the course of descriptive geometry, trainers equip students the basic algorithm and create opportunities for them to propose algorithm as well as improve gradually the level of algorithmic application, students shall have better learning outcomes and develop their algorithmic thinking.

27p change05 08-06-2016 36 6   Download

The basic distinction between already known algorithmic characterizations of matroids and antimatroids is in the fact that for antimatroids the ordering of elements is of great importance. While antimatroids can also be characterized as set systems, the question whether there is an algorithmic description of antimatroids in terms of sets and set functions was open for some period of time.

9p thulanh5 12-09-2011 50 4   Download

Most routing protocols fall into one of two classes: distance vector or link state. The basics of distance vector routing protocols are examined here; the next section covers link state routing protocols. Most distance vector algorithms are based on the work done of R. E. Bellman, L. R. Ford, and D. R. Fulkerson, and for this reason occasionally are referred to as BellmanFord or FordFulkerson algorithms. A notable exception is EIGRP, which is based on an algorithm developed by J. J. Garcia Luna Aceves....

10p danhson1409 03-12-2010 137 24   Download

In the preceding chapters, we presented several approaches for the estimation of the independent component analysis (ICA) model. In particular, several algorithms were proposed for the estimation of the basic version of the model, which has a square mixing matrix and no noise. Now we are, in principle, ready to apply those algorithms on real data sets. Many such applications will be discussed in Part IV.

10p duongph05 09-06-2010 143 21   Download