#
Algorithmes
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The concept ** Algorithmes** represents the subject, aboutness, idea or notion of resources found in **Boston University Libraries**.

The Resource
Algorithmes
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The concept

**Algorithmes**represents the subject, aboutness, idea or notion of resources found in**Boston University Libraries**.- Label
- Algorithmes

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- A course in computational algebraic number theory
- Algorithm design : foundations, analysis, and Internet examples
- Algorithm design for computer system design
- Algorithmic algebra
- Algorithmic algebraic number theory
- Algorithmic graph theory
- Algorithmic learning
- Algorithmic number theory
- Algorithmic probability : a collection of problems
- Algorithmics : the spirit of computing
- Algorithmics for hard problems : introduction to combinatorial optimization, randomization, approximation, and heuristics
- Algorithms
- Algorithms + data structures=programs
- Algorithms : their complexity and efficiency
- Algorithms and data structures in C++
- Algorithms and data structures in VLSI design : OBDD-foundations and applications
- Algorithms and theory of computation handbook
- Algorithms for modular elliptic curves
- Algorithms for mutual exclusion
- Algorithms for random generation and counting : a Markov chain approach
- Algorithms in invariant theory
- Algorithms in modern mathematics and computer science : proceedings, Urgench, Uzbek SSR, September 16-22, 1979
- Algorithms of the intelligent Web
- Algorithms on strings, trees, and sequences : computer science and computational biology
- Algorithms, routines, and S functions for robust statistics : the FORTRAN library ROBETH with an interface to S-PLUS
- An introduction to data structures and algorithms with Java
- An introduction to support vector machines : and other kernel-based learning methods
- Analysis of algorithms : computational methods & mathematical tools
- Applied cryptography : protocols, algorithms, and source code in C
- Applied numerical methods
- Applied statistics algorithms
- Bounded incremental computation
- C4.5 : programs for machine learning
- Chaos, dynamics, and fractals : an algorithmic approach to deterministic chaos
- Combinatorial algorithms : an update
- Combinatorial algorithms for integrated circuit layout
- Combinatorial algorithms, 1972-1973.
- Combinatorial heuristic algorithms with FORTRAN
- Compared to what? : an introduction to the analysis of algorithms
- Computational algorithms for closed queueing networks
- Computational methods for the determination of formation constants
- Computational number theory and digital signal processing : fast algorithms and error control techniques
- Computer algorithms : introduction to design and analysis
- Computer algorithms : key search strategies
- Computer algorithms : string pattern matching strategies
- Computing methods in applied sciences and engineering
- Connected components in binary images : the detection problem
- Data structures and algorithms
- Data structures and algorithms : a first course
- Data structures and algorithms : an object-oriented approach using Ada 95
- Data structures and algorithms in Java
- Design of hashing algorithms
- Designing efficient algorithms for parallel computers
- Direct adaptive control algorithms : theory and applications
- Distributed algorithms and protocols
- Distributed mutual exclusion algorithms
- Efficient algorithms for listing combinatorial structures
- Efficient parallel algorithms
- Efficient parsing for natural language : a fast algorithm for practical systems
- Finite algorithms in optimization and data analysis
- From logic design to logic programming : theorem proving techniques and P-functions
- Fundamental algorithms for permutation groups
- Fundamentals of data structures in Pascal
- Fundamentals of the average case analysis of particular algorithms
- Genetic algorithms : concepts and designs
- Genetic algorithms in search, optimization, and machine learning
- Graphs and algorithms
- Graphs, networks, and algorithms
- Handbook for computing elementary functions
- Handbook of algorithms and data structures : in Pascal and C
- Handbook of theoretical computer science
- How to solve it by computer
- Information dispersal and parallel computation
- Introduction to algorithms
- Introduction to computability
- Introduction to distributed algorithms
- Introduction to linear optimization
- Learning in embedded systems
- Local search in combinatorial optimization
- Logic, automata, and algorithms
- Machine Learning
- Machine Learning
- Mathematical foundations of parallel computing
- Mathematics for the analysis of algorithms
- Model solving in mathematical programming
- Nonlinear programming : sequential unconstrained minimization techniques
- Nonnegative matrix and tensor factorizations : applications to exploratory multi-way data analysis and blind source separation
- Number theory for computing
- Numerical methods for scientists and engineers
- Online algorithms : the state of the art
- Optimal interprocedural program optimization : a new framework and its application
- Parallel algorithms : design and analysis
- Parallel algorithms : for digital image processing, computer vision, and neural networks
- Parallel algorithms for matrix computations
- Parallel computational geometry
- Parallel numerical algorithms
- Parallel sorting algorithms
- Parsing schemata : a framework for specification and analysis of parsing algorithms
- Pattern matching algorithms
- Practical numerical algorithms for chaotic systems
- Probability theory and computer science
- Recursion via Pascal
- Recursive algorithms
- Rewriting techniques and applications : 3rd International Conference, RTA-89, Chapel Hill, North Carolina, USA, April 3-5, 1989 : proceedings
- Scheduling algorithms
- Selected papers on analysis of algorithms
- Stable recursions : with applications to the numerical solution of stiff systems
- The algorithmic beauty of plants
- The analysis of algorithms
- The beginner's guide to Mathematica version 3
- The design and analysis of algorithms
- The design and analysis of computer algorithms
- The design and analysis of efficient learning algorithms
- The design and analysis of parallel algorithms
- The development of the number field sieve
- The discrepancy method : randomness and complexity
- The rapid evaluation of potential fields in particle systems
- The science of computing : exploring the nature and power of algorithms
- The symmetric group : representations, combinatorial algorithms, and symmetric functions
- Theory of deductive systems and its applications
- Theory of recursive functions and effective computability
- Time structures : formal description and algorithmic representation
- Topics in advanced scientific computation
- Topics in distributed algorithms
- Towards dynamic randomized algorithms in computational geometry
- Vision chips : implementing vision algorithms with analog VLSI circuits

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