Search Results - ("algorithm" OR "algorithms")

C# Data Structures and Algorithms : Explore the possibilities of C# for developing a variety of efficient applications. by Jamro, Marcin

Table of Contents: “…Prim's algorithmExample -- telecommunication cable; Coloring; Example -- voivodeship map; Shortest path; Example -- game map; Summary; Chapter 7: Summary; Classification of data structures; Diversity of applications; Arrays; Lists; Stacks; Queues; Dictionaries; Sets; Trees; Heaps; Graphs; The last word; Other Books You May Enjoy; Index.…”
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Algorithmic Diagnosis of Symptoms and Signs. by Collins, R. Douglas

Table of Contents: “…Intro; Half Title Page; Title Page; Copyright Page; Preface to the Fourth Edition; Preface to the First Edition; Introduction; Contents; Part 1 Getting the Most out of Your History and Physical Examination; Part 2 Algorithms of Symptoms and Signs; Abdominal Pain, Acute; Abdominal Pain, Chronic Recurrent; Abdominal Rigidity; Abdominal Swelling, Focal; Abdominal Swelling, Generalized; Absent or Diminished Pulse; Acid Phosphatase Elevation; Acidosis (Decreased pH); Alkaline Phosphatase Elevation; Alkalosis (Increased pH); Alopecia; Alterations in Serum Iron; Alteration in Serum Uric Acid.…”
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2-D and 3-D image registration for medical, remote sensing, and industrial applications by Goshtasby, Ardeshir

Subjects: “…Algorithms.…”
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Engineering an Algorithm for Reducing Variation in Manufacturing Processes. by Steiner, Stefan H.

Table of Contents: “…Material on Enclosed CD-ROM; Figures and Tables; Acknowledgments; Preface; 1 Introduction; PART I Setting the Stage; 2 Describing Processes; 3 Seven Approaches to Variation Reduction; 4 An Algorithm for Reducing Variation; 5 Obtaining Process Knowledge Empirically; PART II Getting Started; 6 Defining a Focused Problem; 7 Checking the Measurement System; 8 Choosing a Working Variation Reduction Approach; PART III Finding a Dominant Cause of Variation; 9 Finding a Dominant Cause Using the Method of Elimination; 10 Investigations to Compare Two Families of Variation.…”
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Geometry with trigonometry by Barry, Patrick D.

Subjects: “…Euclidean algorithm.…”
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A Course in Computational Algebraic Number Theory by Cohen, Henri

Table of Contents: “…Fundamental Number-Theoretic Algorithms -- 2. Algorithms for Linear Algebra and Lattices -- 3. …”
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Security of block ciphers : from algorithm design to hardware implementation / by Sakiyama, Kazuo, 1971-

Table of Contents: “…Basics of Side-Channel Analysis 152 5.2.1 Side Channels of Digital Circuits 152 5.2.2 Goal of Side-Channel Analysis 154 5.2.3 General Procedures of Side-Channel Analysis 155 5.2.4 Profiling versus Non-profiling Side-Channel Analysis 156 5.2.5 Divide-and-Conquer Algorithm 157 5.3 Side-Channel Analysis on Block Ciphers 159 5.3.1 Power Consumption Measurement in Power Analysis 160 5.3.2 Simple Power Analysis and Differential Power Analysis 163 5.3.3 General Key Recovery Algorithm for DPA 164 5.3.4 Overview of Attack Targets 169 5.3.5 Single-Bit DPA Attack on AES-128 Hardware Implementations 181 5.3.6 Attacks Using HW Model on AES-128 Hardware Implementations 186 5.3.7 Attacks Using HD Model on AES-128 Hardware Implementations 192 5.3.8 Attacks with Collision Model & dagger; 199 5.4 Basics of Fault Analysis 203 5.4.1 Faults Caused by Setup-Time Violations 205 5.4.2 Faults.…”
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Clustering in Linear and Additive Mixed Models. by Heinzl, Felix

Table of Contents: “…Linear Mixed Models with DPMs using EM Algorithm; 5. Additive Mixed Models with DPMs using MCMC methods; 6. …”
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Pattern Recognition. by Theodoridis, Sergios

Table of Contents: “…Front Cover; Pattern Recognition; Copyright Page; Contents; Preface; Chapter 1 Introduction; Chapter 2 Classifiers Based on Bayes Decision Theory; Chapter 3 Linear Classifiers; Chapter 4 Nonlinear Classifiers; Chapter 5 Feature Selection; Chapter 6 Feature Generation I: Data Transformation and Dimensionality Reduction; Chapter 7 Feature Generation II; Chapter 8 Template Matching; Chapter 9 Context-Dependent Classification; Chapter 10 Supervised Learning: The Epilogue; Chapter 11 Clustering: Basic Concepts; Chapter 12 Clustering Algorithms I: Sequential Algorithms.…”
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Optimization in Engineering Sciences : Exact Methods. by Borne, Pierre

Table of Contents: “…Lagrange method; 1.4. Simplex algorithm; 1.4.1. Principle; 1.4.2. Simplicial form formulation; 1.4.3. …”
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Signal processing for 5G : algorithms and implementations /

Table of Contents: “…Millimeter Waves for 5G: From Theory To Practice / Malik Gul, Eckhard Ohlmer, Ahsan Aziz, Wes McCoy, Yong Rao -- *5G Millimeter-wave Communication Channel and Technology Overview / Li Qian (Clara), Jung Hyejung, Zong Pingping, Wu Geng -- General Principles and Basic Algorithms for Full-duplex Transmission / Thomas Kaiser, Nidal Zarifeh -- Design and Implementation of Full-duplex Transceivers / Katsuyuki Haneda, Mikko Valkama, Taneli Riihonen, Emilio Antonio-Rodriguez, Dani Korpi -- NEW SYSTEM-LEVEL ENABLING TECHNOLOGIES FOR 5G. …”
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Concentration of Measure for the Analysis of Randomized Algorithms. by Dubhashi, Devdatt

Subjects: “…Algorithms.…”
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Evolutionary computation in gene regulatory network research

Table of Contents: “…I: Preliminaries -- A Brief Introduction to Evolutionary and other Nature-Inspired Algorithms / Nasimul Noman and Hitoshi Iba -- Mathematical Models and Computational Methods for Inference of Genetic Networks / Tatsuya Akutsu -- Gene Regulatory Networks: Real Data Sources and Their Analysis / Yuji Zhang -- II: EAs for Gene Expression Data Analysis and GRN Reconstruction -- Biclustering Analysis of Gene Expression Data Using Evolutionary Algorithms / Alan Wee-Chung Liew -- Inference of Vohradský's Models of Genetic Networks Using a Real-Coded Genetic Algorithm / Shuhei Kimura -- GPU-Powered Evolutionary Design of Mass-Action-Based Models of Gene Regulation / Marco S. …”
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Analysis of biological networks

Subjects: “…Algorithms…”
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Random Iterative Models by Duflo, Marie

Subjects: “…Algorithms.…”
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An Investigation into Authentication Security of GSM algorithm for Mobile Banking. by Raheem, Ali

Table of Contents: “…An Investigation into Authentication Security of GSM algorithm for Mobile Banking; Abstract:; Table of Contents:; List of Figures:; Abbreviations; Acknowledgment; Chapter 1: Overview of mobile banking security; 1. …”
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Iterative Algorithms For Multilayer Optimizing Control. by Brdys, Mietek A.

Table of Contents: “…Preface; Notation and Acronyms; Contents; Chapter 1 Multilayer Control; Chapter 2 Optimizing Control Layer; Chapter 3 Iterative Correction with Disturbance Estimation; Chapter 4 Integrated System Optimization and Parameter Estimation (ISOPE); Chapter 5 ISOPE for Problems with Output Constraints; Chapter 6 Iterative Algorithms for Dynamic Optimizing Control; Chapter 7 Optimizing Control of Interconnected Systems; Appendix A Proof of Theorem 4.1; Appendix B Proofs of Theorems 7.1, 7.2 and 7.3; Bibliography; Index.…”
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Pedestrian Detection Algorithms using Shearlets. by Pfeifer, Lienhard

Table of Contents: “…4.3 Conclusion5 Pedestrian Detection using Shearlet Features; 5.1 Pedestrian Detection using Hand-crafted Features; 5.2 Shearlet Image Features; 5.3 Shearlet Filterbank; 5.4 Implementation Details; 5.5 Experiments; 5.5.1 Detection Framework Settings; 5.5.2 Image Feature Experiments; 5.5.3 Filterbank Experiments; 5.6 Conclusion; 6 Deep Learning with Shearlets; 6.1 Introduction on Neural Networks; 6.1.1 Artificial Neural Networks; 6.1.2 Convolutional Neural Networks; 6.1.3 Pedestrian Detection Algorithms using CNNs; 6.2 Integration of Shearlets in CNNs; 6.2.1 Related Work…”
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Parsing schemata for practical text analysis by Gómez-Rodríguez, Carlos

Table of Contents: “…Context-free grammars. 2.2. Parsing algorithms and schemata. 2.3. The formalism of parsing schemata. 2.4. …”
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Optimization of Computer Networks : Modeling and Algorithms: a Hands-On Approach. by Pavón Mariño, Pablo

Table of Contents: “…7.1 Introduction -- 7.2 Node Location Problems -- 7.3 Full Topology Design Problems -- 7.4 Multilayer Network Design -- 7.5 Notes and Sources -- 7.6 Exercises -- References -- Part Two: Algorithms -- Chapter 8: Gradient Algorithms in Network Design -- 8.1 Introduction -- 8.2 Convergence Rates -- 8.3 Projected Gradient Methods -- 8.4 Asynchronous and Distributed Algorithm Implementations -- 8.5 Non-Smooth Functions -- 8.6 Stochastic Gradient Methods -- 8.7 Stopping Criteria -- 8.8 Algorithm Design Hints -- 8.9 Notes and Sources -- 8.10 Exercises -- References…”
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