Search Results - "algorithm"

Introduction to cryptography by Padhye, Sahadeo, Sahu, Rajeev A., Saraswat, Vishal

Table of Contents: “…2.3.5 Field Construction using Generator2.4 Exercises; 3 Number Theory; 3.1 Prime Numbers; 3.2 Cardinality of Primes; 3.3 Extended Euclidean Algorithm; 3.4 Congruences; 3.4.1 Solving Linear Congruence in Zn; 3.4.2 Chinese Remainder Theorem (CRT); 3.5 Integer Factorization Problem; 3.5.1 Trial Division Method; 3.5.2 Fermat's Method; 3.5.3 Pollard's p -- 1 Method; 3.5.4 Pollard's Rho Method; 3.5.5 Quadratic Sieve; 3.5.6 Number Field Sieve; 3.6 Primality Testing; 3.6.1 Sieve of Eratosthenes; 3.6.2 Divisibility Algorithm; 3.6.3 AKS Algorithm; 3.6.4 Fermat Test; 3.6.5 Miller-Rabin Algorithm.…”
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The Analysis of Selected Algorithms for the Stochastic Paradigm by Jaoudé, Abdo Abou

Subjects: “…Algorithms.…”
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Algorithmic techniques for the polymer sciences / by Tice, Bradley S.

Table of Contents: “…Front Cover; About the Editor; Preface; Contents; Introduction; Review of the Literature; Chapter 1: Polymers; Chapter 2: Compression of Data; Chapter 3: Natural Language Compression; Chapter 4: Formal Language Compression; Chapter 5: Types of Compression Programs; Chapter 6: Algorithmic Compression; Chapter 7: Chemical Formulas; Chapter 8: Fischer Projection; Chapter 9: Compression of Polymers; Chapter 10: Line Notation Systems and Compression; Chapter 11: Current Trends in Research; Chapter 12: Big Data; Chapter 13: Modeling Complexity in Molecular Systems: A Revised Edition.…”
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Pathway modeling and algorithm research /

Table of Contents: “…PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. …”
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Support vector machine in chemistry

Table of Contents: “…Kernel functions: technique for nonlinear data processing by linear algorithm. 1.7. Support vector regression: regression based on principle of statistical learning theory. 1.8. …”
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Stochastic Local Search : Foundations and Applications. by Hoos, Holger

Table of Contents: “…Empirical Analysis of SLS Algorithms; Chapter 5. Search Space Structure and SLS Performance; Part II: Applications; Chapter 6. …”
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Distributed control of robotic networks : a mathematical approach to motion coordination algorithms / by Bullo, Francesco, Cortés, Jorge, 1974-, Martínez, Sonia, 1974-

Table of Contents: “…Preface; An introduction to distributed algorithms; Geometric models and optimization; Robotic network models and complexity notions; Connectivity maintenance and rendezvous; Deployment; Boundary estimation and tracking; Bibliography; Algorithm Index; Subject Index; Symbol Index.…”
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Black box classical groups by Kantor, W. M. (William M.), 1944-

Table of Contents: “…8. Permutation group algorithms…”
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Learning Causal Models Of Multivariate Systems : And The Value Of It For The Performance Modeling Of Computer Programs. by Lemeire, Jan

Table of Contents: “…""Qualitative Property and Qualitative Reasoning""""The Occurence of Independencies""; ""Graphoid Properties""; ""Markov networks""; ""Bayesian Networks""; ""Representation of Distributions""; ""Representation of Independencies""; ""Graphical Causal Models""; ""Defining Causality: The Shadow's Cause""; ""Interventions""; ""Causally Interpreted Bayesian Networks""; ""Invalidity of the Markov Network Representation""; ""Causal Structure Learning Algorithms""; ""The PC Algorithm""; ""Assumptions""; ""Complexity""; ""Summary of Chapter""…”
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Parallel Computing Using the Prefix Problem. by Lakshmivarahan, S.

Table of Contents: “…Chapter 3 -- Parallel Prefix Algorithms On Arrays3.1 Methods of Cyclic Elimination and Reduction; 3.2 Schwartz's Method; 3.3 An Algorithm for Fixed Parallelism; 3.4 A Balanced Binary Tree Algorithm; 3.5 Cole-Vishkin Algorithm; 3.6 A Comparison; 3.7 Exercises; 3.8 Notes and References; Chapter 4 -- Parallel Prefix Algorithms On Linked Lists; 4.1 Basic Pointer-jumping; 4.2 A Strategy for Optimal List Ranking; 4.3 Independent Set via Coloring; 4.4 Cole and Vishkin's Algorithm; 4.5 Independent Set via Randomization; 4.6 Exercises; 4.7 Notes and References; Part Three -- Algorithms For Circuit Models.…”
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Algorithmen - Eine Einführung. by Cormen, Thomas H.

Subjects: “…Computer algorithms.…”
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Mastering Machine Learning Algorithms : Expert techniques to implement popular machine learning algorithms and fine-tune your models. by Bonaccorso c/o Quandoo, Giuseppe

Table of Contents: “…Conditional probabilities and Bayes' theoremBayesian networks; Sampling from a Bayesian network; Direct sampling; Example of direct sampling; A gentle introduction to Markov chains; Gibbs sampling; Metropolis-Hastings sampling; Example of Metropolis-Hastings sampling; Sampling example using PyMC3; Hidden Markov Models (HMMs); Forward-backward algorithm; Forward phase; Backward phase; HMM parameter estimation; Example of HMM training with hmmlearn; Viterbi algorithm; Finding the most likely hidden state sequence with hmmlearn; Summary; Chapter 5: EM Algorithm and Applications.…”
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Signal reconstruction algorithms for time-interleaved ADCs / by Pillai, Anu Kalidas Muralidharan

Subjects: “…Algorithms.…”
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Quantitative Magnetic Resonance Imaging of the Brain : Applications for Tissue Segmentation and Multiple Sclerosis. by West, Janne

Subjects: “…Algorithms.…”
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Learning with kernels : support vector machines, regularization, optimization, and beyond by Schölkopf, Bernhard

Subjects: “…Algorithms.…”
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How to guard an art gallery and other discrete mathematical adventures by Michael, T. S., 1960-

Table of Contents: “…3.11 Notes and References3.12 Problems -- 4 Pixels, Lines, and Leap Years -- 4.1 Pixels and Lines -- 4.2 Lines and Distances -- 4.3 Arithmetic Arrays -- 4.4 Bresenhamâ€?s Algorithm -- 4.5 A Touch of Gray: Antialiasing -- 4.6 Leap Years and Line Drawing -- 4.7 Diophantine Approximations -- 4.8 Notes and References -- 4.9 Problems -- 5 Measure Water with a Vengeance -- 5.1 Simon Says: Measure Water -- 5.2 A Recipe for Bruce Willis -- 5.3 Skew Billiard Tables -- 5.4 Big Problems -- 5.5 How to Measure Water: An Algorithm…”
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The multilevel fast multipole algorithm (MLFMA) for solving large-scale computational electromagnetics problems / by Ergül, Özgür

Table of Contents: “…1.9.3 Complex-Source-Point Excitation1.9.4 Delta-Gap Excitation; 1.9.5 Current-Source Excitation; 1.10 Multilevel Fast Multipole Algorithm; 1.11 Low-Frequency Breakdown of MLFMA; 1.12 Iterative Algorithms; 1.12.1 Symmetric Lanczos Process; 1.12.2 Nonsymmetric Lanczos Process; 1.12.3 Arnoldi Process; 1.12.4 Golub-Kahan Process; 1.13 Preconditioning; 1.14 Parallelization of MLFMA; Chapter 2 Solutions of Electromagnetics Problems with Surface Integral Equations; 2.1 Homogeneous Dielectric Objects; 2.1.1 Surface Integral Equations; 2.1.2 Surface Formulations.…”
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A CALCULUS OF IDEAS : a MATHEMATICAL STUDY OF HUMAN THOUGHT. by Grenander, Ulf

Subjects: “…Algorithms.…”
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Hands-On Ensemble Learning with R : a Beginner's Guide to Combining the Power of Machine Learning Algorithms Using Ensemble Techniques. by Tattar, Prabhanjan Narayanachar

Table of Contents: “…Bootstrapping survival models*Bootstrapping time series models*; Summary; Chapter 3: Bagging; Technical requirements; Classification trees and pruning; Bagging; k-NN classifier; Analyzing waveform data; k-NN bagging; Summary; Chapter 4: Random Forests; Technical requirements; Random Forests; Variable importance; Proximity plots; Random Forest nuances; Comparisons with bagging; Missing data imputation; Clustering with Random Forest; Summary; Chapter 5: The Bare Bones Boosting Algorithms; Technical requirements; The general boosting algorithm; Adaptive boosting; Gradient boosting.…”
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Concurrency by Malkhi, Dahlia

Table of Contents: “…Shared Memory and the Bakery Algorithm -- 2. The Notions of Time and Global State in a Distributed System -- 3. …”
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