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

Mathematical Developments Arising from Linear Programming. by Lagarias, Jeffrey C.

Table of Contents: “…Interior-Point Methods for Linear Programming -- An O(n3 L) Potential Reduction Algorithm for Linear Programming -- I. I. Dikin's Convergence Result for the Affine-Scaling Algorithm…”
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Blind source separation : theory and applications by Yu, Xianchuan

Table of Contents: “…Theory basics of BSS -- Mathematical foundation of blind source separation -- General model and classical algorithm for BSS -- Evaluation criteria for the bss algorithm -- PART II. …”
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Adaptive Filters : Theory and Applications. by Farhang-Boroujeny, Behrouz

Table of Contents: “…6.3 MSE Behavior of the LMS Algorithm -- 6.3.1 Learning Curve -- 6.3.2 Weight-Error Correlation Matrix -- 6.3.3 Excess MSE and Misadjustment -- 6.3.4 Stability -- 6.3.5 The Effect of Initial Values of Tap Weights on the Transient Behavior of the LMS Algorithm -- 6.4 Computer Simulations -- 6.4.1 System Modeling -- 6.4.2 Channel Equalization -- 6.4.3 Adaptive Line Enhancement -- 6.4.4 Beamforming -- 6.5 Simplified LMS Algorithms -- 6.6 Normalized LMS Algorithm -- 6.7 Affine Projection LMS Algorithm -- 6.8 Variable Step-Size LMS Algorithm -- 6.9 LMS Algorithm for Complex-Valued Signals…”
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Engineering optimization : an introduction with metaheuristic applications by Yang, Xin-She

Table of Contents: “…Front Matter -- Foundations of Optimization and Algorithms. A Brief History of Optimization -- Engineering Optimization -- Mathematical Foundations -- Classic Optimization Methods I -- Classic Optimization Methods II -- Convex Optimization -- Calculus of Variations -- Random Number Generators -- Monte Carlo Methods -- Random Walk and Markov Chain -- Metaheuristic Algorithms. …”
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Optimization techniques and applications with examples by Yang, Xin-She

Table of Contents: “…Mathematical foundations -- Algorithms, complexity and convexity -- Optimization -- Constrained optimization -- Optimization techniques : approximation methods -- Linear programming -- Integer programming -- Regression and regularization -- Machine learning algorithms -- Queueing theory and simulation -- Multiobjective optimization -- Constraint-handling techniques -- Evolutionary algorithms -- Nature-inspired algorithms.…”
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Machine Learning with Scikit-Learn Quick Start Guide : Classification, Regression, and Clustering Techniques in Python. by Jolly, Kevin

Table of Contents: “…; Installing scikit-learn; The pip method; The Anaconda method; Additional packages; Pandas; Matplotlib; Tree; Pydotplus; Image; Algorithms that you will learn to implement using scikit-learn; Supervised learning algorithms; Unsupervised learning algorithms; Summary.…”
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Methods for Network Optimization and Parallel Derivative-free Optimization. by Olsson, Per-Magnus

Table of Contents: “…Intro -- Abstract -- Populärvetenskaplig sammanfattning -- Acknowledgements -- Thesis Introduction -- Contents -- Part I Contributions to Network Optimization -- 1 Introduction -- 2 Related Work -- 3 The Relay Positioning Problems -- 4 Environment Representation and Discretization -- 5 Relay Positioning Algorithms for Single Target Problems -- 6 Relay Positioning for Multiple Targets -- 7 Implementation and Experimental Results -- 8 Discussion -- Bibliography -- Part II Contributions to Derivative-free Optimization -- 9 Introduction -- 10 Setting And Problem Description -- 11 Direct Search Algorithms -- 12 Model Building Algorithms -- 13 Existing Model Building Algorithms -- 14 Radial Basis Functions -- 15 Parallelism in Algorithms for Derivative-Free Optimization -- 16 Information Sharing -- 17 Control of Optimization Algorithms -- 18 Implementation Details -- 19 Testing on Synthetic Test Cases -- 20 Testing On Industrial Test Cases -- 21 Future Work -- 22 Conclusions -- A Terms -- Bibliography.…”
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Simplified robust adaptive detection and beamforming for wireless communications by ElNashar, Ayman

Table of Contents: “…Wireless systems models -- Adaptive detection algorithms -- Robust RLS adaptive algorithms -- Quadratically constrained robust detection -- Robust constant modulus algorithms -- Robust adaptive beamforming -- Minimum ber adaptive detection and beamforming.…”
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Information technology applications in industry III : selected, peer reviewed papers from the 2014 3rd International Conference on Information Technology and Management Innovation...

Table of Contents: “…A Hybrid Simulate Annealing Algorithm Based on Aircraft Emergency Dispatching SystemA Variable Step-Size BLMS Adaptive Jamming Cancellation Algorithm Based on FFT; Adaptive Extended Kalman Filter for Nonlinear System with Noise Compensating Technology; An Improvement of Apriori Algorithm in Medical Data Mining; An Integrated Algorithm for Low-Carbon City Evaluation Based on Neural Network and Analytic Hierarchy Process; Reliability Optimization for Multi-State Series-Parallel System Design Using Ant Colony Algorithm…”
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Open innovation : new product development essentials from the PDMA

Table of Contents: “…Pricing Algorithm --…”
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Differential and Differential-Algebraic Systems for the Chemical Engineer : Solving Numerical Problems. by Buzzi-Ferraris, Guido

Table of Contents: “…Differential and Differential-Algebraic Systems for the Chemical Engineer: Solving Numerical Problems; Contents; Preface; 1 Definite Integrals; 1.1 Introduction; 1.2 Calculation of Weights; 1.3 Accuracy of Numerical Methods; 1.4 Modification of the Integration Interval; 1.5 Main Integration Methods; 1.5.1 Newton-Cotes Formulae; 1.5.2 Gauss Formulae; 1.6 Algorithms Derived from the Trapezoid Method; 1.6.1 Extended Newton-Cotes Formulae; 1.6.2 Error in the Extended Formulae; 1.6.3 Extrapolation of the Extended Formulae; 1.7 Error Control; 1.8 Improper Integrals; 1.9 Gauss-Kronrod Algorithms.…”
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Combinatorial and Global Optimization. by Pardalos, Panos M.

Table of Contents: “…Preface ; A Forest Exterior Point Algorithm for Assignment Problems ; 1 Introduction ; 2 Preliminaries ; 3 Description of the algorithm ; 4 Correctness and complexity of the algorithm ; 5 Concluding remarks ; References.…”
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Solving S-unit, Mordell, Thue, Thue-Mahler and generalized Ramanujan-Nagell equations via the Shimura-Taniyama conjecture by Känel, Rafael von, 1985-, Matschke, Benjamin

Table of Contents: “…Part 1. Algorithms. Chapter 1. Introduction -- Chapter 2. The Shimura-Taniyama conjecture -- Chapter 3. …”
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Development of Modern Statistics and Related Topics : In Celebration of Prof Yaoting Zhang's 70th Birthday. by Zhang, Heping

Table of Contents: “…The Student-t Distribution ; 3. The EM Algorithm ; 4. The DA Algorithm ; 5. The PX-EM Algorithm ; 6. …”
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Computational biology and genome informatics

Table of Contents: “…Cover -- Preface -- Contents -- Chapter 1 Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithm -- 1.1 Introduction -- 1.2 Algorithmic Implementation -- Population -- Basic Algorithm -- Additional Features -- 1.3 Data Generation and Analysis -- Exemplary Biological Systems -- Population Dynamics and Interactive Visualization -- Stem Trace and Structurelab -- Single Run Analysis -- Multiple Run Analysis -- Multiple Population Size Analysis -- 1.4 Biological Application -- PSTVd -- hok/sok -- 1.5 Conclusions -- Acknowledgment -- References -- Authors' Addresses -- Chapter 2 Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabrication -- 2.1 Introduction -- 2.2 Background -- Chemistry and Biology of DNA -- DNA as a Structural Material -- Design of Base Sequences for DNA Nanoconstruction -- 2.3 Experiments and Applications -- DNA-based Computation -- Algorithmic Self-Assembly -- Patterned DNA Nanostructures -- Patterned Immobilization of Other Materials on DNA Arrays -- 2.4 Summary and Future Directions -- Possible Future Applications -- Acknowledgments -- References -- Author's Address -- Chapter 3 Mapping Sequence to Rice FPC -- 3.1 Introduction -- 3.2 Overview of FPC -- 3.3 Mapping Sequence to FPC contigs -- FSD (FPC Simulated Digest) -- BSS (BLAST Some Sequence) -- Merging contigs -- Anchoring contigs -- WebFPC -- 3.4 Discussion -- Acknowledgments -- References -- Authors' Addresses -- Chapter 4 Graph Theoretic Sequence Clustering Algorithms and Their Applications to Genome Comparison -- 4.1 Introduction -- 4.1.1 Database search as a genome annotation tool -- 4.1.2 Clustering algorithms as a genome annotation tool -- 4.2 Preliminaries -- 4.3 Sequence Clustering Algorithms Based on Graph Theory -- 4.3.1 Matsuda, Ishihara, and Hashimoto algorithm -- 4.3.2 Matsuda algorithm -- 4.3.3 COG: cluster of orthologous groups -- 4.3.4 GeneRAGE -- 4.4 A New Graph Theoretic Sequence Clustering Algorithm -- 4.4.1 The basic algorithm -- 4.4.2 Result from application of the basic algorithm -- 4.5 BAG: The Extended Clustering Algorithm -- 4.5.1 Issues with the basic algorithm -- 4.5.2 Setting the cutoff threshold -- 4.5.3 The overview of the extended algorithm -- 4.5.4 AP-TEST -- 4.5.5 RANGE-TEST -- 4.5.6 HYPERGRAPH-MERGE -- 4.5.7 The Algorithm -- 4.6 Implementation -- 4.7 Application to Genome Comparison -- 4.7.1 Splitting families -- 4.7.2 Merging families -- 4.8 Conclusion -- Acknowledgments -- References -- Author's Address -- Chapter 5 The Protein Information Resource for Functional Genomics and Proteomics -- 5.1 Introduction -- 5.2 PIR-International Protein Sequence Database -- Superfamily Classification -- Evidence Attribution and Bibliography Submission -- 5.3 PIR Non-Redundant Refence Protein Database -- 5.4 Integrated Protein Classification Database -- 5.5 PIR System Distribution -- PIR Web Access -- PIR FTP Transfer -- 5.6 Conclusion -- Acknowledgments -- References -- Author's Address -- Chapter 6 High-Grade Ore for Data Mining in 3D Structures -- 6.1 Introduction -- 6.2 Traditional Quality Measures -- 6.3 All-Atom Contacts for Assessing Structural Accuracy -- 6.4.…”
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Bio-inspired computation in telecommunications

Table of Contents: “…Bio-inspired optimization algorithms; 1.4.1. SI-Based Algorithms; 1.4.1.1. Ant and bee algorithms; 1.4.1.2. …”
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Atlas of ambulatory EEG

Table of Contents: “…Summary -- References -- Chapter 2: Automated Spike and Seizure Detection Algorithms -- I. Introduction -- II. Automatic Spike Detection -- III. …”
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Can markets compute equilibria? by Monroe, Hunter K.

Table of Contents: “…Are There Natural Problems with No Best Algorithm?; A. Superlinear vs. Blum Speedup; B. No Best Algorithm for Integer and Matrix Multiplication?…”
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Introduction to Synthetic Aperture Radar Using Python and MATLAB®. by Harrison, Lee Andrew (Andy)

Table of Contents: “…3.3.3 Backprojection Algorithm -- 3.3.4 Algebraic Methods -- 3.3.5 Nontraditional Methods -- 3.4 EXAMPLES -- 3.4.1 Range Profile- Point Targets -- 3.4.2 Range Profile- Backhoe -- 3.4.3 Range Doppler Algorithm -- Point Target -- 3.4.4 Range Doppler Algorithm- Backhoe -- 3.4.5 Polar Format Algorithm -- Point Targets -- 3.4.6 Polar Format Algorithm -- Learjet -- 3.4.7 Backprojection Algorithm- Point Targets -- 3.4.8 Backprojection Algorithm- Toyota Avalon -- PROBLEMS -- References -- Chapter 4 Three-Dimensional Imaging -- 4.1 DEVELOPMENT -- 4.1.1 Airborne and Spaceborne Systems…”
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Project Scheduling under Limited Resources : Models, Methods, and Applications by Hartmann, Sönke

Table of Contents: “…Introduction -- Project Scheduling Models -- Exact Multi-Mode Algorithms -- Classification of Single-Mode Heuristics -- Single-Mode Genetic Algorithms -- Evaluation of Single-Mode Heuristics -- Multi-Mode Genetic Algorithm -- Case Studies -- Conclusions.…”
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