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πŸ“

Handbook of algorithms and data structures: in Pascal and C

✍ Scribed by Gaston H. Gonnet, Gaston Gonnet, Ricardo Baeza-Yates, R. Baeza-Yates


Publisher
Addison-Wesley Pub. Co
Year
1991
Tongue
English
Leaves
433
Series
International computer science series
Edition
2nd ed
Category
Library

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✦ Synopsis


Both this book and the preceding (smaller) edition have earned their place on my reference shelf. More up to date than Knuth's 2nd edition and covering much broader territory than (for example) Samet's D&A of Spatial Data Structures, I've found a number of algorithms and data structures in this text that have been directly applicable to my work as a systems programmer.One of the major features of this book is, where possible, the consistent presentation and comparison of expected running times under a variety of input data conditions, with both theoretical and empirical results.A very browseable handbook. Not one of the hundreds of 1st year textbooks. It's a shame that it's out of print.

✦ Subjects


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πŸ“œ SIMILAR VOLUMES


Handbook of Algorithms and Data Structur
✍ G.H Gonnet, R. Baeza-Yates πŸ“‚ Library πŸ“… 1991 🌐 English

This second edition brings together many useful algorithms and their associated data structures in a single, handy reference, featuring a new section on text manipulation algorithms and expanded coverage of arithmetical algorithms. Each algorithm is coded in both C and Pascal.

Handbook of Algorithms and Data Structur
✍ Gaston H. Gonnet, Gaston Gonnet, Ricardo Baeza-Yates, R. Baeza-Yates πŸ“‚ Library πŸ“… 1991 πŸ› Addison-Wesley Pub (Sd) 🌐 English

This second edition brings together many useful algorithms and their associated data structures in a single, handy reference, featuring a new section on text manipulation algorithms and expanded coverage of arithmetical algorithms. Each algorithm is coded in both C and Pascal.

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Pascal Plus Data Structures focuses on abstract data types, their specification, their implementation, and their application. Also stresses computer science theory and software engineering principles, including modularization, data encapsulation, information hiding, data abstraction, the top