Buy sesterzio.eu ?
Products related to Algorithms:
-
Algorithms
The leading introduction to computer algorithms in use today, including fifty algorithms every programmer should know Princeton Computer Science professors, Robert Sedgewick and Kevin Wayne, survey the most important computer algorithms in use and of interest to anyone working in science, mathematics, and engineering, and those who use computation in the liberal arts.They provide a full treatment of data structures and algorithms for key areas that enable you to confidently implement, debug, and put them to work in any computational environment. Fundamentals: Basic programming modelsData abstractionBags, queues, and stacksAnalysis of algorithms Sorting Elementary sortsMergesortQuicksortPriority queuesApplications Graphs Undirected graphsDirected graphsMinimum spanning treesShortest paths Strings String sortsTriesSubstring searchRegular expressionsData compression These algorithms are generally ingenious creations that, remarkably, can each be expressed in just a dozen or two lines of code.As a group, they represent problem-solving power of amazing scope.They have enabled the construction of computational artifacts, the solution of scientific problems, and the development of commercial applications that would not have been feasible without them.
Price: 66.49 £ | Shipping*: 0.00 £ -
Online Algorithms
Online algorithms are a rich area of research with widespread applications in scheduling, combinatorial optimization, and resource allocation problems.This lucid textbook provides an easy but rigorous introduction to online algorithms for graduate and senior undergraduate students.In-depth coverage of most of the important topics is presented with special emphasis on elegant analysis.The book starts with classical online paradigms like the ski-rental, paging, list-accessing, bin packing, where performance of online algorithms is studied under the worst-case input and moves on to newer paradigms like 'beyond worst case', where online algorithms are augmented with predictions using machine learning algorithms.The book goes on to cover multiple applied problems such as routing in communication networks, server provisioning in cloud systems, communication with energy harvested from renewable sources, and sub-modular partitioning.Finally, a wide range of solved examples and practice exercises are included, allowing hands-on exposure to the concepts.
Price: 54.99 £ | Shipping*: 0.00 £ -
Bandit Algorithms
Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it.This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks.A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for established researchers and a helpful resource for graduate students in computer science, engineering, statistics, applied mathematics and economics.Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration.The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes.
Price: 41.99 £ | Shipping*: 0.00 £ -
Simple Algorithms
First Coding introduces children to the basic principles of programming and computing, from being safe on the internet to their first steps in computer logic.This series uses easy-to-read text and colourful images, as well as real examples of code.
Price: 12.99 £ | Shipping*: 3.99 £
Similar search terms for Algorithms:
-
Kumon Algorithms
Kumon Algorithms
Price: 13.29 € | Shipping*: 0.00 € -
Optimization Algorithms
Solve design, planning, and control problems using modern machine learning and AI techniques. In Optimization Algorithms: AI techniques for design, planning, and control problems you will learn: Machine learning methods for search and optimization problemsThe core concepts of search and optimizationDeterministic and stochastic optimization techniquesGraph search algorithmsNature-inspired search and optimization algorithmsEfficient trade-offs between search space exploration and exploitationState-of-the-art Python libraries for search and optimization About the technology: Search and optimization algorithms are powerful tools that can help practitioners find optimal or near-optimal solutions to a wide range of design, planning and control problems.When you open a route planning app, call for a rideshare, or schedule a hospital appointment, an AI algorithm works behind the scenes to make sure you get an optimized result.This guide reveals the classical and modern algorithms behind these services.
Price: 69.99 £ | Shipping*: 0.00 £ -
Parallel Algorithms
This book is an introduction to the field of parallel algorithms and the underpinning techniques to realize the parallelization.The emphasis is on designing algorithms within the timeless and abstracted context of a high-level programming language.The focus of the presentation is on practical applications of the algorithm design using different models of parallel computation.Each model is illustrated by providing an adequate number of algorithms to solve some problems that quite often arise in many applications in science and engineering.The book is largely self-contained, presuming no special knowledge of parallel computers or particular mathematics.In addition, the solutions to all exercises are included at the end of each chapter.The book is intended as a text in the field of the design and analysis of parallel algorithms.It includes adequate material for a course in parallel algorithms at both undergraduate and graduate levels.
Price: 120.00 £ | Shipping*: 0.00 £ -
Algorithms for Optimization
A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms.The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints.Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics.Figures, examples, and exercises convey the intuition behind the mathematical approaches.The text provides concrete implementations in the Julia programming language.Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization.Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text.The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
Price: 90.00 £ | Shipping*: 0.00 £
* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases.