This new edition provides a comprehensive coverage of fundamental data structures, making it ideal for use in computer science Courses. Real-world applications are a unique feature of this text. Dr. Sahni provides several applications for each data structure and algorithm design method disussed, taking examples from topics such as sorting, compression and coding, and image processing.
Dieses Lehrbuch, entstanden aus einer Anfängervorlesung aus dem Informatik-Studiengang an der Leibniz Universität Hannover, bietet einen ersten Einstieg in den Bereich der Komplexitätstheorie.
本书介绍的内容包括:计算机的各项指令存储在什么地方;什么是算法;我们的日常生活中有哪些事情可以利用算法来解决;如果计算机程序里有漏洞,会出现什么怪事 ...
Mathematical Methods and Algorithms for Signal Processing
This new text introduces basic concepts, definitions, theorems, and examples from graph theory.
"Builds on knowledge from a first course in computer programming using Python. Makes a transition from programming in Python to a data structures course and programming in C++"--Provided by publisher.
Applying Conformal Mapping to the Vertex Correspondence Problem for 3D Face Models
Thes book has three key features : fundamental data structures and algorithms; algorithm analysis in terms of Big-O running time in introducied early and applied throught; pytohn is used to facilitates the success in using and mastering ...
[5] P. Hansen, N. Mladenovic, and D. Perez-Britos. Variable neighborhood decomposition search. Journal of Heuristics, 7(4):1381–1231, 2001. [6] N. Mladenovic. A variable neighborhood algorithm - a new metaheuristic for combinatorial ...
Rake Receiver Performance in Direct Sequence Spread Spectrum Systems Operating at High Data Rates [microform]
Introduction to Computer Science: An Algorithmic Approach