Divide and Conquer Algorithms for Multi-dimensional Problems

Divide and Conquer Algorithms for Multi-dimensional Problems PDF

Author: Benjamin Qochuk

Publisher:

Published: 2020-06-14

Total Pages: 64

ISBN-13:

DOWNLOAD EBOOK →

This book "Divide and Conquer Algorithms for Multi-dimensional Problems" not only present algorithms and analysis of advanced real-life problems but also prepares you to have a deep understanding of how these algorithms were originally designed and an ability to solve some of the most insightful algorithmic problems.This is a must read if you want to dive deeper into understanding Algorithms and its advanced applications.Multidimensional divide and conquer is an algorithmic technique that can be used to develop several algorithms and data structures for multi-dimensional problems. It is an extension of Divide and Conquer algorithms.The basic idea of Divide and Conquer is to divide the problem into smaller problems, solve the smaller problems and use the answers from the smaller problems to get the answer to the larger problem.Merge Sort is a popular algorithm that applies Divide and Conquer to sort 1-dimensional data.Extending such algorithms for Multi-dimensional data is not simple but it is an interesting approach that which nurture your thinking process and is more widely used as it reflects real-life problems.This is important as most real-life problems are multi-dimensional like: o A map of Earth is a 2-dimensional datao Text is a multi-dimensional data for Clustering problemso Augmented reality is usually 3-dimensional datao Game graphics are at-least 3-dimensional datao Physics consider our Universe to be 11-dimensional dataWe use this paradigm to give best-known solutions to problems such as: o Empirical Cumulative Distribution Functions problem (ECDF)o Maxima problemo Range searching problemo Closest pair problemo All nearest neighbor problemsFor all problems, we have demonstrated 1-dimension problem, 2-dimension problem, 3-dimension problem, k-dimension problem (all with time complexity analysis) and real-life applications.We, also, presented open question in this domain which you can think about and potentially, develop a solution.This book has been carefully prepared and reviewed by Algorithmic researchers at OpenGenus and Tokyo Institute of Technology. We would like to thank Aditya Chatterjee and Benjamin QoChuk for their expertise in this domain.Read this book now and change the way you think about algorithms. This is a must read for everyone who wants to truely understand Algorithms and apply it to solve advanced problem

Algorithms and Computation

Algorithms and Computation PDF

Author: Rudolf Fleischer

Publisher: Springer

Published: 2004-12-06

Total Pages: 951

ISBN-13: 3540305513

DOWNLOAD EBOOK →

This volume contains the proceedings of the 15th Annual International Sym- sium on Algorithms and Computation (ISAAC 2004), held in Hong Kong, 20–22 December, 2004. In the past, it has been held in Tokyo (1990), Taipei (1991), Nagoya (1992), Hong Kong (1993), Beijing (1994), Cairns (1995), Osaka (1996), Singapore (1997), Taejon (1998), Chennai (1999), Taipei (2000), Christchurch (2001), Vancouver (2002), and Kyoto (2003). ISAAC is an annual international symposium that covers a wide range of topics,namelyalgorithmsandcomputation.Themainpurposeofthesymposium is to provide a forum for researchers working in the active research community of algorithms and the theory of computation to present and exchange new ideas. In response to our call for papers we received 226 submissions. The task of selectingthepapersinthisvolumewasdonebyourprogramcommitteeandother referees. After a thorough review process the committee selected 76 papers, the decisions being based on originality and relevance to the ?eld of algorithms and computation. We hope all accepted papers will eventually appear in scienti?c journals in a more polished form. Two special issues, one of Algorithmica and one of the International Journal of Computational Geometry and Applications, with selected papers from ISAAC 2004 are in preparation. Thebeststudentpaperawardwillbegivenfor“Geometricoptimizationpr- lems over sliding windows” by Bashir S. Sadjad and Timothy M. Chan from the University of Waterloo. Two eminent invited speakers, Prof. Erik D. Demaine, MIT, and Prof. David M. Mount, University of Maryland, also contributed to this volume.

Introduction To Algorithms

Introduction To Algorithms PDF

Author: Thomas H Cormen

Publisher: MIT Press

Published: 2001

Total Pages: 1216

ISBN-13: 9780262032933

DOWNLOAD EBOOK →

An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.

Parallel Algorithms

Parallel Algorithms PDF

Author: Sandeep Nautam Bhatt

Publisher: American Mathematical Soc.

Published: 1997-01-01

Total Pages: 184

ISBN-13: 9780821870754

DOWNLOAD EBOOK →

This volume is the result of the Third DIMACS Implementation Challenge that was conducted as part of the 1993-94 Special year on Parallel Algorithms. The Implementation Challenge was formulated in order to provide a forum for a concerted effort to study effective algorithms for combinatorial problems and to investigate opportunities for massive speed-ups on parallel computers. The challenge invluded two problem areas for research study: tree searching, algorithms, used in game search and combinatorial optimization, for example, and algorithms for sparse graphs. Participants at sites in the US and Europe undertook projects from November 1993 through October 1994. The workshop was held at DIMACS in November 1994. Participants were encouraged to share test results, to rework their implementations considering feedback at the workshop, and to submit a final report for the proceedings. Nine papers were selected for this volume.

Multidimensional Divide-and-conquer Maximin Recurrences

Multidimensional Divide-and-conquer Maximin Recurrences PDF

Author: Laurent Alonso

Publisher:

Published: 1992

Total Pages: 48

ISBN-13:

DOWNLOAD EBOOK →

Abstract: "Bounds are obtained for the solution to the divide- and-conquer recurrence M(n) = [formula], for nondecreasing functions f. Similar bounds are found for the recurrence with 'min' replaced by 'sum-of- all-but-the-max.' Such recurrences appear in the analysis of various algorithms."

CONPAR 81

CONPAR 81 PDF

Author: Wolfgang Händler

Publisher: Springer Science & Business Media

Published: 1981-06

Total Pages: 526

ISBN-13: 9783540108276

DOWNLOAD EBOOK →