Expert Data Structures Using C C
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Expert Data Structure with C
This book starts with the fundamentals of data structures and finally lead to the muchdetailed discussion on the subject. The very first chapter introduces the readers with elementary concepts of C as type conversions, structures, pointers, dynamic memory management, functions, flow-chart, algorithm and fundamental of data structures. This textbook covers the syllabus of Semester College course on data structures. It provides both a strong theoretical base in data structures and an advanced approach to their representation in C. The text is useful to C professionals and programmers, as well as students of any branch of Engineering of graduate and postgraduate courses. The data structures are presented with in the context of complete working programs that have been tested both on a UNIX system and a personal computer using Turbo-C++, Compiler. The code is developed in a top-down fashion, typically with the low-level data structures implementation following the high-level application code. This approach foster good programming habits and makes subject matter more interesting. The book has three goals- to develop a consistent programming methodology, to develop data structures access techniques and to introduce algorithms. The bulk of the text is developed to make a strong hold on data structures. Programming style and development methodology are introduced and its applications are presented. This has the advantage of allowing the reader to concentrate on the data structures, while illustrating how good practices make programming easier.
Computational Systems Bioinformatics
This volume contains about 40 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications. There are also abstracts from the keynote addresses and invited talks. The papers cover not only theoretical aspects of bioinformatics but also delve into the application of new methods, with input from computation, engineering and biology disciplines. This multidisciplinary approach to bioinformatics gives these proceedings a unique viewpoint of the field. Sample Chapter(s). Chapter 1: Exploring the Ocean''s Microbes: Sequencing the Seven Seas (122 KB). Contents: Exploring the Ocean''s Microbes: Sequencing the Seven Seas (M E Frazier et al.); Protein Network Comparative Genomics (T Ideker); Bioinformatics at Microsoft Research (S Mercer); Protein Fold Recognition Using Gradient Boost Algorithm (F Jiao et al.); Efficient Annotation of Non-Coding RNA Structures Including Pseudoknots via Automated Filters (C Liu et al.); Efficient Generalized Matrix Approximations for Biomarker Discovery and Visualization in Gene Expression Data (W Li et al.); Sorting Genomes by Translocations and Deletions (X Qi et al.); Detection of Cleavage Sites for HIV-1 Protease in Native Proteins (L You); Identifying Biological Pathways via Phase Decomposition and Profile Extraction (Y Zhang & Z Deng); Complexity and Scoring Function of MS/MS Peptide De Novo Sequencing (C Xu & B Ma); Simulating In Vitro Epithelial Morphogenesis in Multiple Environments (M R Grant et al.); and other papers. Readership: Research and application community in bioinformatics, systems biology, medicine, pharmacology and biotechnology. A useful reference for graduate researchers in bioinformatics and computational biology.
Data Structure
Author: Mr. Rohit Manglik
language: en
Publisher: EduGorilla Publication
Release Date: 2023-06-23
Studies organization and manipulation of data, focusing on algorithms, arrays, and trees for efficient computing and software development.