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Novel Algorithms for Fast Statistical Analysis of Scaled Circuits

Algorithms for Fast Statistical Analysis of Scaled Circuits draws upon ideas for attacking parallel problems in other technical fields, such as;

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Computer Methods for Analysis of Mixed-Mode Switching Circuits

Computer Methods for Analysis of Mixed-Mode Switching Circuits provides an in-depth treatment of the principles and implementation details;

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Unstructured Scientific Computation on Scalable Multiprocessors

and compilers designed to handle irregular scientific computations, mapping methods for adaptive fast multipole methods, and parallelized grid;

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Soft Error Reliability of VLSI Circuits

healthcare electronic systems. The emphasis is on modeling approaches and algorithms for analysis and mitigation of soft errors in nano-scale CMOS;

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Soft Error Reliability of VLSI Circuits

healthcare electronic systems. The emphasis is on modeling approaches and algorithms for analysis and mitigation of soft errors in nano-scale CMOS;

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Computational Electronic Circuits

This textbook teaches in one, coherent presentation the three distinct topics of analysis of electronic circuits, mathematical numerical;

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Statistical Modeling and Simulation for VLSI Circuits and Systems

introduces many significant challenges for IC designs. This book provides an overview of these issues and further develops some potential solutions;

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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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Tolerance Design Of Electronic Circuits

circuits. Tolerance Design of Electronic Circuits presents an account of design and analysis methods used to minimize the unwanted effects;

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Lifetime Reliability-aware Design of Integrated Circuits

of Computer Aided Design (CAD) of reliable VLSI circuits. In addition to developing lifetime reliability analysis and techniques for clocked storage;

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Affine Analysis of Image Sequences

generalisation of the familiar scaled orthographic model. Analysis proceeds by tracking 'corner features' through successive frames and grouping the;

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Computational Methods for Data Analysis

This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and;

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Direction Dependence in Statistical Modeling

incorporates the latest research for the statistical analysis of hypotheses that are compatible with the causal direction of dependence of variable;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Computer Holography

implementations by actual codes will also be discussed. This book will explain new fast diffraction calculations, such as scaled scalar diffraction;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis;

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Climate Time Series Analysis

, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step;

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The Scaled Boundary Finite Element Method

-especially in emerging technologies such as 3D printing, virtual reality, and digital image-based analysis The Scaled Boundary Finite Element;

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Approximate Iterative Algorithms

bounds and convergence rates, and for the optimal design of such algorithms. Techniques of functional analysis are used to derive analytical;

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Approximate Iterative Algorithms

bounds and convergence rates, and for the optimal design of such algorithms. Techniques of functional analysis are used to derive analytical;

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Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies

This book describes a set of novel statistical algorithms designed to infer functional connectivity of large-scale neural assemblies. The;

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Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies

This book describes a set of novel statistical algorithms designed to infer functional connectivity of large-scale neural assemblies. The;

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Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms

experienced researchers alike. For newcomers, it covers the basics of optimization and statistical analysis, familiarizing them with the subject;

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Linear Circuit Transfer Functions

-entropy transfer functions immediately exploitable for analysis purposes. * Covers calculation techniques pertinent to different fields;

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Analog VLSI Circuits for the Perception of Visual Motion

reaching its limits, facing problems of cost and technical efficiency when scaled down to ever-smaller feature sizes. The analysis of biological;

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DSP Integrated Circuits

in full-custom CMOS technology. With an emphasis on techniques for co-design of DSP algorithms and hardware in order to achieve high performance;

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