[Read] ➫ Seuential and Parallel Algorithms and Data Structures The Basic Toolbox By Peter Sanders – Ad325ddsc.merlotmotorsport.co.uk This textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data key algorithms for problems on graphs and generic techniues for modelThis textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data key algorithms for problems on graphs and generic techniues for modeling understanding and solving algorithmic problems The authors aim for a balance between simplicity and efficiency between theory and practice and between classical results and the forefront of research Individual chapters cover arrays and linked lists hash tables and associative arrays sorting and selection priority ueues sorted seuences graph representation graph traversal shortest paths minimum spanning trees optimization collective communication and computation and load balancing The authors also discuss important issues such as algorithm engineering memory hierarchies algorithm libraries and certifying algorithms Moving beyond the seuential algorithms and data structures of the earlier related title this book takes into account the paradigm shift towards the parallel processing reuired to solve modern performance critical applications and how this impacts on the teaching of algorithmsThe book is suitable for undergraduate and graduate students and professionals familiar with programming and basic mathematical language Most chapters have the same basic structure the authors discuss a problem as it occurs in a real life situation they illustrate the most important applications and then they introduce simple solutions as informally as possible and as formally as necessary so the reader really understands the issues at hand As they move toadvanced and optional issues their approach gradually leads to amathematical treatment including theorems and proofs The book includes many examples pictures informal explanations and exercises and the implementation notes introduce clean efficient implementations in languages such as C and Java.

This textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data key algorithms for problems on graphs and generic techniues for modeling understanding and solving algorithmic problems The authors aim for a balance between simplicity and efficiency between theory and practice and between classical results and the forefront of research Individual chapters cover arrays and linked lists hash tables and associative arrays sorting and selection priority ueues sorted seuences graph representation graph traversal shortest paths minimum spanning trees optimization collective communication and computation and load balancing The authors also discuss important issues such as algorithm engineering memory hierarchies algorithm libraries and certifying algorithms Moving beyond the seuential algorithms and data structures of the earlier related title this book takes into account the paradigm shift towards the parallel processing reuired to solve modern performance critical applications and how this impacts on the teaching of algorithmsThe book is suitable for undergraduate and graduate students and professionals familiar with programming and basic mathematical language Most chapters have the same basic structure the authors discuss a problem as it occurs in a real life situation they illustrate the most important applications and then they introduce simple solutions as informally as possible and as formally as necessary so the reader really understands the issues at hand As they move toadvanced and optional issues their approach gradually leads to amathematical treatment including theorems and proofs The book includes many examples pictures informal explanations and exercises and the implementation notes introduce clean efficient implementations in languages such as C and Java.

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