Data Structures and Algorithm Analysis in C++ is an advanced algorithms book that bridges the gap between traditional CS2 and Algorithms Analysis courses. As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs using the C++ programming language.
This book explains topics from binary heaps to sorting to NP-completeness, and dedicates a full chapter to amortized analysis and advanced data structures and their implementation. Figures and examples illustrating successive stages of algorithms contribute to Weiss’ careful, rigorous and in-depth analysis of each type of algorithm.
About the Author
Mark Allen Weiss is Professor and Associate Director for the School of Computing and Information Sciences at Florida International University. He is also currently serving as both Director of Undergraduate Studies and Director of Graduate Studies. He received his Bachelor’s Degree in Electrical Engineering from the Cooper Union in 1983, and his Ph.D. in Computer Science from Princeton University in 1987, working under Bob Sedgewick. He has been at FIU since 1987 and was promoted to Professor in 1996. His interests include data structures, algorithms, and education. He is most well-known for his highly-acclaimed Data Structures textbooks, which have been used for a generation by roughly a million students.
Professor Weiss is the author of numerous publications in top-rated journals and was recipient of the University’s Excellence in Research Award in 1994. In 1996 at FIU he was the first in the world to teach Data Structures using the Java programming language, which is now the de facto standard. From 1997-2004 he served as a member of the Advanced Placement Computer Science Development Committee, chairing the committee from 2000-2004. The committee designed the curriculum and wrote the AP exams that were taken by 20,000 high school students annually.
In addition to his Research Award in 1994, Professor Weiss is also the recipient of the University’s Excellence in Teaching Award in 1999 and the School of Computing and Information Science Excellence in Teaching Award (2005) and Excellence in Service Award (2007).
Companies provide employee's loans for SSS and Pagibig member, Bank loan, Company salary loan or cash advance etc. Pinoy Web Application create a flexible loan data entry module that can connect to payroll process to deduct the total amount due for every pay period that set automatic to their salary, until they reach the total loan amount or zero balance. read more »
List of application module that currently available in Online HRMS & Payroll System to be used by designated user assigned by Web Administrator. read more »
Payroll processing performs many tasks to ensure accurate deduction of tax, loans & mandatory contribution of SSS, Philhealth, Pagibig and others deduction. Pinoy Web Application designed for automation of process to avoid padding of time or eliminate fraud most of all the payroll output in a minutes. read more »
Preparation of Annual Income Tax Return for all employee's BIR Form 2316 in manual process are so complicated and can caused a human errors in also take a lot of time to finished. read more »
Using DTR Biometric Finger Scanner application system time-in/time-out we create module process to generate Timesheet for every employee. Before generating employee timesheet cut-off date make it sure that all pending approval of leave & overtime covered on that payroll cut-off date that filed by the employee’s should be approved by designated department. The report monitoring status of Leave & Overtime will help you to identify head department with pending approval to prompt them to approve. read more »
Programming books display here are property of respective owners. All information about the book published in this website is in good faith and for general information purpose only.
Please support author by buying hardcopy to the nearest book store in your place or order books in publisher websites.