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Algorithms For Dummies
Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where alg...
Algorithms, Their Complexity and Efficiency
Like the first edition, this book is concerned with the study of algorithms and their complexity, and the evaluation of their performance.
Algorithms
Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) solution of the formulated problem. One can solve a problem on its own using ad hoc techniques or follow those techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm design techniques, how and when to use them to formulate solutions and the context appropriate for each of them. This book advocates the study of algorithm design techniques by presenting most of the useful algorithm design techniques and illustrating them through numerous examples.
Algorithmic Puzzles
Algorithmic puzzles are puzzles involving well-defined procedures for solving problems. This book will provide an enjoyable and accessible introduction to algorithmic puzzles that will develop the reader's algorithmic thinking. The first part of this book is a tutorial on algorithm design strategies and analysis techniques. Algorithm design strategies — exhaustive search, backtracking, divide-and-conquer and a few others — are general approaches to designing step-by-step instructions for solving problems. Analysis techniques are methods for investigating such procedures to answer questions about the ultimate result of the procedure or how many steps are executed before the procedure stop...
The Tyranny of Algorithms
A clear-eyed, timely investigation of the threat posed by Artificial Intelligence to individual freedom, social cohesion, and the democratic process--and a radical proposal on how to fight back. In this sharp, urgent book, philosopher, psychoanalyst, and former resistance fighter Miguel Benasayag warns of the great danger posed by the growing role of big data and algorithms in deciding the contours of individual lives and the direction of the world. From mass surveillance to predictive law enforcement to data-driven social interactions, AI has already colonized most aspects of our lives and determines the decisions of companies, financial markets, and governments. Structured as a conversatio...
Algorithmic Methods in Probability
Numerical fourier inversion; Computation of stationary measures for infinete Markov chains; Approximating percentage points of statistics expressible as maxima; Simulating stable stochastic systems, selecting the best system; Allowance for correlation in setting simulation run-length via ranking-and selection procedures; Computational experience with some nonlinear optimization algorithms in deriving maximum likelihood estimates for the three-parameter weibull distribution; A bayesian algorithm incorporating inspector errors for quality control and auditing; Statistical inferences for a stochastic epidemic model proposed; Numerical methods in separable queueing networks; Numerical methods applicable to a production line with stochastic servers; A recursivealgorithm for computing serial correlations of time in an M/G/1 Queue; Algorithms for the waiting times distributions under various queue disciplines in the M/G/1 queue with service time distributions of phase type; The steady-state solution of a heterogenous-server queue with Erlang service time.
Computer Science
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Algèbre linéaire dans Rn : théorie, algorithmes et complexité
L’algèbre linéaire permet de résoudre les équations dites linéaires utilisées en mathématiques, en informatique, en mécanique, en sciences naturelles ou en sciences sociales. Du point de vue de l’informaticien, la résolution passe par l’ordinateur. Or, ce dernier ne peut pas tout faire. Il y a des limites d’ordre qualitatives et quantitatives que la machine ne peut dépasser, et d’autres qu’elle ne peut franchir que dans un temps excessivement long. Cet ouvrage théorique et pratique expose tour à tour : – les matrices et leurs opérations ; – l’espace vectoriel Rn ; – l’espace vectoriel Rn muni du produit scalaire ; – les systèmes d’équations linéaires...
